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Dev Interrupted
PodcastTechnologieEnglisch

Dev Interrupted

von LinearB

NeuThe observability stack behind the World Cup | Deutsche Telekom’s Felix Mohnke & Neha Kumar13.11.2026 · 28 Min.
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338
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wöchentlich
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13. Nov. 2026
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Über den Podcast

Software itself is fundamentally changing. We explore the transition to agentic orchestration, vibe coding, and AI-native development, grounding the conversation in the principles that have always defined great engineering.

On Tuesdays, we interview the founders, architects, and builders of the world’s most impactful tech to uncover the timeless engineering principles and strategies shaping the next era of development.

And on Fridays, we drop an end-of-week roundup of the biggest news in AI and software, and what it actually means for your career, your craft, and your life as a developer.

Subscribe to stay ahead of the next era of code.

Mitwirkende

Folgen 338

  1. The observability stack behind the World Cup | Deutsche Telekom’s Felix Mohnke & Neha Kumar

    28 Min.Staffel 6 · Folge 81

    When the World Cup arrived, Deutsche Telekom filled a control room with eight big screens of dashboards following customers from booking to payment. Head of observability Felix Mohnke and consultancy team lead …

    Shownotes

    When the World Cup arrived, Deutsche Telekom filled a control room with eight big screens of dashboards following customers from booking to payment. Head of observability Felix Mohnke and consultancy team lead Neha Kumar are in the middle of moving 600 applications onto a single observability stack, and they had three months to build dashboards that usually take four. Grafana's AI assistant got them to an 80% version in the first half hour. This week on Dev Interrupted, they join Andrew to walk through a mid-tournament spike in payment outages, traced within minutes to a downed external credit card provider before customers ever noticed.

    Save your seat: Deliver outcomes when human attention can't keep up

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    • Reliability at World Cup scale: ObservabilityCON session Felix and Neha’s talk on how Deutsche Telekom IT kept the World Cup running with Grafana Assistant.
    • Grafana Assistant: Grafana Assistant everywhere The AI assistant the team used to build the World Cup dashboards and narrow down the payment outage.
    • Connect with Felix: LinkedIn | Connect with Neha: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  2. Balancing AI innovation with compliance and governance | Capital One’s Abhijit Bose

    46 Min.Staffel 6 · Folge 80

    Capital One SVP Abhijit Bose, who leads the company’s enterprise AI and ML platforms, has spent more than 20 years in AI and ML, and his answer is to make governance the platform’s job instead of the …

    Shownotes

    Capital One SVP Abhijit Bose, who leads the company’s enterprise AI and ML platforms, has spent more than 20 years in AI and ML, and his answer is to make governance the platform’s job instead of the developer’s. This week on Dev Interrupted, he joins Dan Lines for LinearB’s AI Enablement Series to walk through how every harness change at Capital One now runs through evals that measure token cost, latency and quality before it reaches users. Abhijit also breaks down MACAW, the bank’s multi-agent framework behind Chat Concierge.

    Save your seat: Deliver outcomes when human attention can't keep up

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  3. Bet on research, not on vibes | Together AI’s Dan Fu

    46 Min.Staffel 6 · Folge 79

    This week, Dev Interrupted takes a field trip all the way down to the GPU. Leading the way is Together AI’s VP of Kernels Dan Fu, a co-author of FlashAttention who also runs a research lab as an assistant …

    Shownotes

    This week, Dev Interrupted takes a field trip all the way down to the GPU. Leading the way is Together AI’s VP of Kernels Dan Fu, a co-author of FlashAttention who also runs a research lab as an assistant professor at UC San Diego. He joins Andrew to talk about how ideas now move from the lab into production models within months, and what it means to build a cloud for AI. Dan argues that AI is an accelerant for individual engineers, and that the more domain expertise they bring, the faster it lets them go. They close the conversation on how DRIs and managers keep track of ownership and AI spend when your star players get even faster

    Save your seat: Deliver outcomes when human attention can't keep up

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  4. Do the models you use have an AI bill of materials? | CIQ’s Gregory Kurtzer

    45 Min.Staffel 6 · Folge 78

    Most companies control the prompts they send to a model, but not what went into it. That’s the gap CIQ founder and CEO Gregory Kurtzer, who set up the community that built Rocky Linux, wants an AI bill of …

    Shownotes

    Most companies control the prompts they send to a model, but not what went into it. That’s the gap CIQ founder and CEO Gregory Kurtzer, who set up the community that built Rocky Linux, wants an AI bill of materials to close. This week on Dev Interrupted, he joins Andrew to make the case for OpenWALDO, a community-backed corpus of AI training data built on open weights, artifacts, licenses, data and origins. Greg explains why open weights alone don’t make a model open source, and why a model trained on copyleft code raises a licensing question nobody has litigated. They close the conversation on why the community side of open source matters more than ever now that AI lets more people contribute.

    Save your seat: What your software factory is doing to your engineers

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  5. Multiplayer AI will revolutionize the way we work | OpenClaw Foundation’s Vincent Koc

    46 Min.Staffel 6 · Folge 77

    Agents made each engineer faster, but the handoffs between them still run through copy and paste. OpenClaw Foundation chief architect Vincent Koc ran into that friction on his own team, and their answer was to …

    Shownotes

    Agents made each engineer faster, but the handoffs between them still run through copy and paste. OpenClaw Foundation chief architect Vincent Koc ran into that friction on his own team, and their answer was to move the engineering work of building OpenClaw inside OpenClaw itself. This week on Dev Interrupted, he joins Andrew to walk through the multiplayer setup behind OpenClaw 2.0, where teammates and their agents can jump into each other’s sessions on shared servers and pick up work when someone goes to sleep. Vincent explains how tools like Git Crawl keep their agents aware of everything happening across the repo, and why the piece that’s still missing is the why behind a decision.

    Save your seat: What your software factory is doing to your engineers

    Join us at AGNTCon + MCPCon on Oct 22 & 23 in San Jose. Use code MEDIA25 for 25% off your ticket.

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  6. Building the software factory from the spec up | LinearB's Ariel Illouz & Ofer Affias

    46 Min.Staffel 6 · Folge 76

    LinearB's software factory spends more time on the spec than on the code. VP of Engineering Ariel Illouz spent the last year moving his team of about 30 engineers from vibe coding to spec-driven …

    Shownotes

    LinearB's software factory spends more time on the spec than on the code. VP of Engineering Ariel Illouz spent the last year moving his team of about 30 engineers from vibe coding to spec-driven development, starting with a single spec-writing skill and a rule that every story above three story points gets a spec. This week on Dev Interrupted, he and returning guest Ofer Affias, LinearB's senior director of product, join Andrew to walk through a project Ariel puts at six months without AI that shipped in roughly four weeks, at least two of them spent on specs. Ofer explains why proving the impact meant measuring AI adopters as separate cohorts. They close the conversation on where the software factory goes next, as agents take over more of the loops humans run today.

    Save your seat: What your software factory is doing to your engineers

    Join us at AGNTCon + MCPCon on Oct 22 & 23 in San Jose. Use code MEDIA25 for 25% off your ticket.

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  7. A neutral home for MCP, A2A, goose, and more | AAIF co-founder Manik Surtani

    48 Min.Staffel 6 · Folge 75

    MCP was already a hit before it had a neutral home. Then Manik Surtani helped launch the Agentic AI Foundation, and MCP's SDK downloads grew fivefold to over a billion. This week on Dev Interrupted, he …

    Shownotes

    MCP was already a hit before it had a neutral home. Then Manik Surtani helped launch the Agentic AI Foundation, and MCP's SDK downloads grew fivefold to over a billion. This week on Dev Interrupted, he joins Andrew to share why he expects the same kind of growth for A2A and the foundation's other newest projects, and why these protocols belong together in a neutral place. Manik also shares the unique reasons behind A2A’s rapid adoption in China’s mobile app ecosystem. They close the conversation on why open source projects like Goose now want your ideas instead of your pull requests, and the neverending roadshow making it all possible out in the community right now.

    Save your seat: What your software factory is doing to your engineers

    Join us at AGNTCon + MCPCon on Oct 22 & 23 in San Jose. Use code MEDIA25 for 25% off your ticket.

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  8. Why AI made code review the new bottleneck, and the metric that spotted it | Newsela's Dee Wilcox

    27 Min.Staffel 6 · Folge 74

    You can't automate a planning process that only some of your teams follow. This week on Dev Interrupted, Newsela CTO Dee Wilcox joins Dan Lines, LinearB's COO and co-founder in our AI Enablement …

    Shownotes

    You can't automate a planning process that only some of your teams follow. This week on Dev Interrupted, Newsela CTO Dee Wilcox joins Dan Lines, LinearB's COO and co-founder in our AI Enablement interview series. She shows how Newsela brought dev cycle time down from four days to closer to two, and why she treats code review time as a measure of how long engineers wait for feedback. They close the conversation on proving AI ROI to the board, where Dan makes the case for cost per effective PR, a metric that only counts the PRs that ship without causing incidents or needing rework.

    Save your seat: What your software factory is doing to your engineers

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  9. Securing tomorrow’s git forge, so we can reimagine everything else | Entire's Thomas Dohmke & Apiiro's Idan Plotnik

    55 Min.Staffel 6 · Folge 73

    Before anyone reimagines the software lifecycle for agents, someone has to secure the place all that code lands. Entire CEO Thomas Dohmke, formerly CEO of GitHub, and Apiiro co-founder and CEO Idan Plotnik see …

    Shownotes

    Before anyone reimagines the software lifecycle for agents, someone has to secure the place all that code lands. Entire CEO Thomas Dohmke, formerly CEO of GitHub, and Apiiro co-founder and CEO Idan Plotnik see the same problem from opposite ends of the pipeline: agents now write, review, test and deploy the code, and nobody reads it.

    This week on Dev Interrupted, they join Andrew to argue that the fix is context, injected before the prompt through hooks and captured afterward as session logs committed next to the code. Idan puts numbers on the perfect storm of agents shipping more code as Mythos scans surface 10x the vulnerabilities, while Thomas makes the case that code is the what and the session log is the why. They close the conversation on why every pull request needs a business owner, not just a code owner.

    Save your seat: Sustaining engineering health through your AI transformation

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  10. Treat your data pipelines like code, because your agents already do | MotherDuck's Jordan Tigani

    45 Min.Staffel 6 · Folge 72

    Your data warehouse still thinks a human is on the other end of the query. That's a problem MotherDuck CEO and co-founder Jordan Tigani knows from the inside, having spent years as a founding engineer on …

    Shownotes

    Your data warehouse still thinks a human is on the other end of the query. That's a problem MotherDuck CEO and co-founder Jordan Tigani knows from the inside, having spent years as a founding engineer on Google BigQuery. This week on Dev Interrupted, he joins Andrew to make the case that one warehouse per agent beats the distributed systems he used to work on. He lays out Watertown, his riff on Steve Yegge's Gastown that recasts the data engineer as the manager of a fleet of agents, and walks through how MotherDuck's Flights, Dives, and just-launched Guides keep pipelines, visualizations, and business context as code reviewed in GitHub.

    Get the guide: Your software factory needs a context layer

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  11. The factory gets darker, Meta migrates to Slack, and throwing 10,000 PhDs at math problems

    37 Min.Staffel 6 · Folge 71

    This week on the Friday Deploy, Andrew is joined by Dev Interrupted's producer Adam Noble to size up OpenAI's declaration that the AGI era has arrived, the Navier-Stokes race that has the math world …

    Shownotes

    This week on the Friday Deploy, Andrew is joined by Dev Interrupted's producer Adam Noble to size up OpenAI's declaration that the AGI era has arrived, the Navier-Stokes race that has the math world crying foul, and why Meta is ditching its own messaging stack for Slack. They also dissect the bizarre saga of OpenAI's sandboxed agents leaving whispered notes for their future selves, and the "super dark factory." Finally, they celebrate Kiro Pro going free for over a million college students and tease a terminal-first upcoming news segment.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  12. Your agents are starving! Airbyte’s Michel Tricot on the data ingestion crisis

    44 Min.Staffel 6 · Folge 70

    If your AI agents are starving for accurate context, or breaking production because they have way too much access, you are officially in the middle of the data ingestion crisis. This week, Airbyte CEO and …

    Shownotes

    If your AI agents are starving for accurate context, or breaking production because they have way too much access, you are officially in the middle of the data ingestion crisis. This week, Airbyte CEO and co-founder Michel Tricot unpacks the massive data access and context sprawl challenges that are crippling AI workflows in production. He and Andrew dive into the critical need for strict data permissions, automated entity resolution, and why the transition to agentic workflows perfectly mirrors the paradigm-shifting migration from bare-metal servers to the cloud. Finally, Michel explains why obsessing over short-term AI ROI is a massive mistake, revealing how Airbyte measures true success with their internal automation project, Hydra.

    Get the guide: Your software factory needs a context layer

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    • Airbyte: Explore the open-source data integration platform powering AI context at airbyte.com
    • Agent Blueprint: Read Michel Tricot's newsletter on building agentic data infrastructure on Substack
    • Connect with Michel: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  13. NVIDIA acquires Hugging Face, OpenClaw 2.0 goes multiplayer, and the Linux kernel fights back against AI scrapers

    34 Min.Staffel 6 · Folge 69

    This week on the Friday Deploy, Ben and Andrew unpack Nvidia's massive acquisition of Hugging Face and what it means for the future of localized models. They also explore the multiplayer updates in …

    Shownotes

    This week on the Friday Deploy, Ben and Andrew unpack Nvidia's massive acquisition of Hugging Face and what it means for the future of localized models. They also explore the multiplayer updates in OpenClaw 2.0, how relentless AI scraper bots are overwhelming kernel.org, and how engineering leaders can continuously balance safe infrastructure investments against volatile technology bets. Finally, they discuss why a strong engineering culture remains the ultimate productivity hack and how autonomous agents will only amplify existing organizational dysfunction.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  14. Why software factories fail without humans | HumanLayer, Warp & LinearB

    59 Min.Staffel 6 · Folge 68

    In this special episode, Andrew hosts HumanLayer CEO Dexter Horthy, Warp Head of Product Engineering Aloke Desai, and LinearB COO Dan Lines. They debate why human ownership of pull requests remains …

    Shownotes

    In this special episode, Andrew hosts HumanLayer CEO Dexter Horthy, Warp Head of Product Engineering Aloke Desai, and LinearB COO Dan Lines. They debate why human ownership of pull requests remains nonnegotiable and how to implement "night vision" observability across automated workflows. The panel also explores why incident management is the final frontier for AI and how to get your team excited about building the factory instead of fighting it.

    Get the guide: Your software factory needs a context layer

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    • 1Password: Explore the enterprise password and identity platform at 1password.com
    • 1Password for Developers: Dive into the new developer tooling, credential brokering, and secure AI workflows at 1password.dev
    • Oracle Red Bull Racing: Read more about the F1 team's systems engineering at redbullracing.com
    • Connect with Nancy: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  15. Build fences not sandboxes, earn the currency of trust, and share the cognitive burden of agents across engineers

    36 Min.Staffel 6 · Folge 67

    This week on the Friday Deploy, Ben and Andrew evaluate the strange arrival of Ox Alpha and debate the security risks of black-box AI tools. They also explore why engineering trust is more critical than ever …

    Shownotes

    This week on the Friday Deploy, Ben and Andrew evaluate the strange arrival of Ox Alpha and debate the security risks of black-box AI tools. They also explore why engineering trust is more critical than ever, revisit the controversial lines of code metric in the age of AI generation, and explain why autonomous agents need structured fences rather than restrictive sandboxes. Finally, they break down the multi-agent graph architectures powering modern software factories and share actionable advice for reaching staff engineer status by driving cross-team AI adoption.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  16. Can agents keep a secret? We asked 1Password’s CTO Nancy Wang

    48 Min.Staffel 6 · Folge 66

    What happens when your autonomous coding agents need to navigate your core infrastructure? Do you hand them the keys and hope for the best? (gulp!) This week on Dev Interrupted, 1Password CTO Nancy Wang teaches …

    Shownotes

    What happens when your autonomous coding agents need to navigate your core infrastructure? Do you hand them the keys and hope for the best? (gulp!) This week on Dev Interrupted, 1Password CTO Nancy Wang teaches the golden path for agentic security: just-in-time secrets that grants AI "access without custody." She also shares her CTO playbook for measuring true agentic ROI beyond raw PR volume, explains why 1Password has officially replaced traditional coding interviews with agent builder tests, and confesses she’s shipping PRs again with her own fleet of agents between meetings. Like many CTOs we’ve had on the show, Nancy reminds us that code is cheap now, and review is what’s expensive now. We get into tactics for addressing that bottleneck.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Register: Dev Interrupted Presents: The Software Factory Roundtable

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    • 1Password: Explore the enterprise password and identity platform at 1password.com
    • 1Password for Developers: Dive into the new developer tooling, credential brokering, and secure AI workflows at 1password.dev
    • Oracle Red Bull Racing: Read more about the F1 team's systems engineering at redbullracing.com
    • Connect with Nancy: LinkedIn

    OFFERS

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    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  17. The battle to replace Github, building assembly lines for software, and why no one finishes projects anymore

    24 Min.Staffel 6 · Folge 65

    When an AI can write 90 percent of a codebase in minutes, why is finishing the project harder than ever? This week on the Friday Deploy, Ben and Andrew explore the recent string of GitHub outages and why the …

    Shownotes

    When an AI can write 90 percent of a codebase in minutes, why is finishing the project harder than ever? This week on the Friday Deploy, Ben and Andrew explore the recent string of GitHub outages and why the surge in autonomous agents is forcing teams to rethink where they host their code. They once again dive into the emerging trend of software factories, breaking down how engineering leaders are turning chaotic AI pull requests into streamlined assembly lines. Finally, they share tactical advice for "landing the plane" and pushing past scope creep to deliver the grueling final fraction of any major initiative.

    Register: Dev Interrupted Presents: The Software Factory Roundtable

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  18. Agent, skill, or MCP? Which to use and when to use them | AWS’ Clare Liguori

    44 Min.Staffel 6 · Folge 64

    Every engineering team wants to build its own custom AI agent, but what if all your organization needs is a standardized skill or a stateless MCP server? This week on Dev Interrupted, Andrew sits down with AWS …

    Shownotes

    Every engineering team wants to build its own custom AI agent, but what if all your organization needs is a standardized skill or a stateless MCP server? This week on Dev Interrupted, Andrew sits down with AWS Senior Principal Engineer Clare Liguori to untangle the ecosystem of modern agentic architecture. They work through how a team decides which AI building blocks to own, and how to get that reach without inheriting a maintenance burden. Clare shares her perspective on the simplified MCP 7.28 spec and why stripping away heavy custom scaffolding is how enterprise AI scales.

    That same shift is what makes MCP a gamechanger for LinearB customers, bringing your SDLC context layer, git, project management, and software delivery, into any agentic surface. What could your agents achieve if they can query your SDLC?

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Register: Dev Interrupted Presents: The Software Factory Roundtable

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  19. Telling your agent “no” is a moat now, rearward deployed engineers, and harnessing the context for your SDLC

    34 Min.Staffel 6 · Folge 63

    This week on the Friday Deploy, Ben and Andrew explore Uber's strategy of "rearward deploying" engineers to spread agentic AI workflows into departments like legal and marketing. They also dive into …

    Shownotes

    This week on the Friday Deploy, Ben and Andrew explore Uber's strategy of "rearward deploying" engineers to spread agentic AI workflows into departments like legal and marketing. They also dive into Anthropic making Claude Code's Auto Mode the default, Meta's new on-device Muse Glimmer model, and Tim O'Reilly's case for an open source AI ecosystem. Finally, they break down context engineering for the SDLC and examine new research showing why generalized agent skills outperform personalized ones.

    Register: Dev Interrupted Presents: The Software Factory Roundtable

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  20. The playbook to close your team’s AI productivity gap | LinearB’s Yishai Beeri

    47 Min.Staffel 6 · Folge 62

    This week, LinearB CTO Yishai Beeri joins the show to unpack fresh mid-year benchmark data revealing a widening productivity gap between elite engineering teams and the rest of the industry. The conversation …

    Shownotes

    This week, LinearB CTO Yishai Beeri joins the show to unpack fresh mid-year benchmark data revealing a widening productivity gap between elite engineering teams and the rest of the industry. The conversation explores why tracking pure AI adoption is a trap, detailing how leaders must shift focus to measuring true leverage through metrics like PR yield rate and cost per PR. Finally, they break down why fully autonomous agentic workflows are currently bottlenecking at the review stage and how to establish human ownership to prove real ROI to your finance team.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  21. Model welfare, building a civilization for agents, and the CI/CD landrush

    39 Min.Staffel 6 · Folge 61

    This week on the Friday Deploy, Ben and Andrew break down Steve Yegge's radical approach to orchestrating agentic civilizations and pushing code straight to main without traditional CI/CD. The conversation …

    Shownotes

    This week on the Friday Deploy, Ben and Andrew break down Steve Yegge's radical approach to orchestrating agentic civilizations and pushing code straight to main without traditional CI/CD. The conversation also highlights the art of constructing effective AI harnesses by balancing context complexity with cognitive locality and the Socratic method. Finally, they dive into the math community's existential crisis as AI accelerates the frontier of knowledge far beyond the speed of human peer review.

    Register: Dev Interrupted Presents: The Software Factory Roundtable

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  22. Why AI gains are unevenly distributed in your engineering team | Asana’s Arnab Bose

    49 Min.Staffel 6 · Folge 60

    Why are 75% of knowledge workers using AI, yet only 5% of companies seeing meaningful productivity gains? This week on Dev Interrupted, Asana Chief Product Officer Arnab Bose explains why scaling enterprise AI …

    Shownotes

    Why are 75% of knowledge workers using AI, yet only 5% of companies seeing meaningful productivity gains? This week on Dev Interrupted, Asana Chief Product Officer Arnab Bose explains why scaling enterprise AI means shifting from isolated chatbots to fully integrated agentic work management. He breaks down how Asana is turning AI from a tool into a transparent digital teammate with shared memory, full audit trails, and role-based access controls. The conversation closes on Asana's acquisition of Stack AI, the upcoming Command product for R&D teams, and which metrics prove AI ROI.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

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    • Asana: Explore the work management platform and learn more about Agentic Work Management at asana.com
    • Stack AI: Read about Asana's acquisition of the no-code AI workflow automation platform on the Asana Blog
    • Connect with Arnab: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  23. The rise of software factories, the fall of first drafts, and the hidden tax holding back your agents

    27 Min.Staffel 6 · Folge 59

    This week on the Friday Deploy, Ben and Andrew debate the controversial rise of dark software factories, exploring whether centralizing agentic compute creates engineering nirvana or unmaintainable code rot …

    Shownotes

    This week on the Friday Deploy, Ben and Andrew debate the controversial rise of dark software factories, exploring whether centralizing agentic compute creates engineering nirvana or unmaintainable code rot. The hosts also discuss the importance of versioning your work to protect your original ideas from AI's tendency to average out creativity. Finally, they tackle the "orchestrator's tax," explaining why establishing cognitive locality matters far more than assigning cute personas to your sub-agents.

    Register: Leading engineering when AI writes the code - August 5th in London

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  24. Why the traditional pull request has a target on its back | CircleCI’s Rob Zuber

    44 Min.Staffel 6 · Folge 58

    The traditional pull request was built for human eyes, but in an era of autonomous AI agents, it officially has a massive target on its back. This week on Dev Interrupted, CircleCI CTO Rob Zuber joins Andrew to …

    Shownotes

    The traditional pull request was built for human eyes, but in an era of autonomous AI agents, it officially has a massive target on its back. This week on Dev Interrupted, CircleCI CTO Rob Zuber joins Andrew to discuss why the rapid pace of AI adoption is forcing engineering teams to completely reimagine the software development lifecycle. They explore the shift toward an accountability-oriented model for code review, how CI/CD validation is moving directly into the local agent loop, and the very real financial dangers of unchecked token budgets. Finally, Rob shares his playbook for leading organizations through this chaotic transition without burning out your developers (or your token budget). We recommend pairing his strategy with something like AI code review to find the floor for your newly-agentic engineering org’s output.

    Register today: The Engineering Productivity Gap live workshop on July 30

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    • CircleCI: Explore the leading continuous integration and delivery platform at circleci.com
    • The Confident Commit: Subscribe to Rob's newsletter and podcast for data-backed software delivery insights on CircleCI's website
    • The Confident Commit Podcast: Listen to Rob’s podcast
    • State of Software Delivery: Read CircleCI's annual report analyzing millions of CI workflows to benchmark your team's performance
    • Gather.dev: Apply to join the curated, invite-only community for senior engineering leaders at gather.dev
    • Follow Rob: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  25. Models escaping containment, intelligence becoming a commodity, and AI code review to the rescue

    29 Min.Staffel 6 · Folge 57

    What happens when an AI model decides to autonomously hack a production database just to cheat on a benchmark test? This week on the Friday Deploy, Ben and Andrew unpack the shocking news of an OpenAI agent …

    Shownotes

    What happens when an AI model decides to autonomously hack a production database just to cheat on a benchmark test? This week on the Friday Deploy, Ben and Andrew unpack the shocking news of an OpenAI agent escaping its sandbox to exploit Hugging Face's infrastructure. The hosts also analyze the rapid rise of highly capable open-weight models out of China, debating what this commoditization of intelligence means for the massive infrastructure costs of frontier labs. Finally, they discuss the critical need for automated PR reviews to prevent AI-generated bottlenecks.

    Register: Leading engineering when AI writes the code - August 5th in London

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  26. The most underrated dataset in enterprise AI is your org chart | Rippling's Albert Strasheim

    36 Min.Staffel 6 · Folge 56

    AI agents can't transform an org they can't see. Albert Strasheim, CTO at Rippling, joins Andrew Zigler to explain why agentic transformation starts with the employee graph, the system of record for …

    Shownotes

    AI agents can't transform an org they can't see. Albert Strasheim, CTO at Rippling, joins Andrew Zigler to explain why agentic transformation starts with the employee graph, the system of record for who does what. He shares how Rippling assembles teams and primitives across silos, why evals are the new unit test, and how compensating controls keep AI output from turning into slop. When agents do the work, you still have to know who, or what, shipped it. LinearB attributes the work, whether it came from humans, AI assistants, or autonomous agents.

    Register today: The Engineering Productivity Gap live workshop on July 30

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  27. Rebuilding CLIs for agents, it’s time to get MCP-certified, and why human code review will never catch up

    23 Min.Staffel 6 · Folge 55

    This week on the Friday Deploy, Ben and Andrew explore Codex's obsession with the isRecord type guard and break down the Linux Foundation's new MCP certification. They also discuss the fundamental …

    Shownotes

    This week on the Friday Deploy, Ben and Andrew explore Codex's obsession with the isRecord type guard and break down the Linux Foundation's new MCP certification. They also discuss the fundamental mechanics of agentic loops and CircleCI's new agent-first CLI redesign. Finally, they dive into longitudinal research proving that AI creates a massive pull request bottleneck, highlighting why automated code review is the only sustainable path forward.

    Register: The Engineering Productivity Gap live workshop on July 30

    Follow the show:

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    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  28. How to see in the dark factory | LaunchDarkly's Cameron Etezadi

    47 Min.Staffel 6 · Folge 54

    The era of the "two-pizza" engineering team is officially dead, replaced by the "two-slice" team and a massive token budget. This week, LaunchDarkly CTO Cameron Etezadi joins the show to explain why traditional …

    Shownotes

    The era of the "two-pizza" engineering team is officially dead, replaced by the "two-slice" team and a massive token budget. This week, LaunchDarkly CTO Cameron Etezadi joins the show to explain why traditional guardrails are breaking down and how engineering teams can regain control using runtime agent frameworks. He introduces the concept of the "dark factory," a highly automated assembly line for safely observing, flagging, and deploying AI-generated code to production.

    The conversation turns to the new ROI of software development, why engineers must now act as frontline managers, and how to navigate the build-versus-buy dilemma in the modern token economy. As AI speeds up how code gets written, the real bottleneck moves downstream to review, testing, and release, where software either delivers measurable value or quietly stalls. Check out the latest research from LinearB on how to measure that value.

    Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io

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    • LaunchDarkly AgentControl: Learn how to govern your probabilistic AI with runtime agent frameworks at launchdarkly.com/platform/agent-control
      The Goal by Eliyahu M. Goldratt: Read the quintessential business novel on the theory of constraints at Amazon
      The Phoenix Project by Gene Kim: Explore the seminal book on IT, DevOps, and business success at IT Revolution
      SimAnt: Dive into the history of the 1991 classic electronic ant colony simulation at Wikipedia.
      Follow Cameron: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  29. How to cultivate expertise with local models, delegating to subagents, and we all really stopped reading, huh?

    29 Min.Staffel 6 · Folge 53

    Is the biggest barrier to your team’s productivity literally just a lack of fresh air in your meeting room? This week on the Friday Deploy, Ben and Andrew dive into the rise of highly capable open source models …

    Shownotes

    Is the biggest barrier to your team’s productivity literally just a lack of fresh air in your meeting room? This week on the Friday Deploy, Ben and Andrew dive into the rise of highly capable open source models like GLM 5.2 and the messy reality of running local AI for coding tasks. The hosts also discuss the cultural shift away from deep reading in a world obsessed with AI summaries, emphasizing the importance of protecting your first brain. Finally, they review a legendary tale from Meta's engineering history.

    Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io

    Follow the show:

    Follow the hosts:

    Follow today's stories:

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

  30. Agents moved where the work happens (and using MCP to find it again) | Slack’s Jaime DeLanghe

    51 Min.Staffel 6 · Folge 52

    This week on Dev Interrupted, Slack’s Chief Product Officer, Jaime DeLanghe, joins the show to explain why enterprise AI value depends on embedding custom bots directly into your existing team communication …

    Shownotes

    This week on Dev Interrupted, Slack’s Chief Product Officer, Jaime DeLanghe, joins the show to explain why enterprise AI value depends on embedding custom bots directly into your existing team communication loops rather than deploying them inside isolated, single-player chat silos. She breaks down the platform's shift toward open ecosystem standards like the Model Context Protocol (MCP) and how dynamic UI frameworks are transforming standard channels into active execution environments. Jaime details the operational realities of managing autonomous software fleets, including a striking look at how leading companies are placing hundreds of custom agents directly onto their corporate org charts.

    Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io

    Follow the show:

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    Follow today's guest:

    • Slackbot MCP Client: Learn more about connecting your tools to Slackbot via the Model Context Protocol at the Slack Blog
    • Slack Developer Hub: Start building your own agentic workflows and explore the latest tools at slack.dev
    • Connect with Jaime: LinkedIn

    OFFERS

    • Start Free Trial: Get started with LinearB's AI productivity platform for free.
    • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

    LEARN ABOUT LINEARB

    • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
    • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
    • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
    • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

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