Thoughtworks Technology Podcast
- Episódios
- 100
- Publicação
- quinzenal
- Último episódio
- 12 nov 2026
Sobre o podcast
The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination. Join our panel of senior technologists to explore the most important trends in tech today, get frontline insights into our work developing cutting-edge tech and hear more about how today's tech megatrends will impact you.
Episódios 100
What does the concept of the platform mean in an era of AI agents?
The concept of the platform has been a core part of software engineering and enterprise technology for many years. While what it looks like and how it's built and maintained may have shifted and evolved, even …
Notas do episódio
The concept of the platform has been a core part of software engineering and enterprise technology for many years. While what it looks like and how it's built and maintained may have shifted and evolved, even in our current era of agentic software engineering, the platform plays a fundamental role in how people experience and use technologies at work.
To discuss the concept of the platform in the AI era, host Ken Mugrage is joined by Abby Bangser, Principal Founding Engineer at Syntasso. Abby is currently developing Kratix, a platform engineering framework that helps teams build the platforms they need, and leading a CNCF white paper on the topic, so she has a unique perspective on how teams approach platform development and use across the industry.
On the episode they talk about everything from developer experience to shadow IT to building and managing agents.
Learn more about Kratix: https://www.kratix.io/
Abby is also talking at KubeConNA 2026: https://www.syntasso.io/post/syntasso-at-kubecon-na-2026-produce-consume-and-maintain-better-platforms
Themes in Technology Radar Vol.35
Given the remarkable pace of change in software engineering throughout 2026, the latest edition of the Thoughtworks Technology Radar — vol. 35, due to be published November 4 — is an opportunity to take stock …
Notas do episódio
Given the remarkable pace of change in software engineering throughout 2026, the latest edition of the Thoughtworks Technology Radar — vol. 35, due to be published November 4 — is an opportunity to take stock of the current state of the industry and to look ahead at how things might develop in 2027.
The themes in particular tell an interesting story about current challenges and areas of focus. They are: harness engineering at scale; putting more agents to work; beyond frontier models; and the economics of running AI at scale. Clearly, we're at a point where we're grappling with what it means to work with larger and more complex agent systems and the real material implications, whether that's in terms of money or how developers actually spend their time.
On this episode of the Technology Podcast, host Lilly Ryan is joined by Thoughtworks Chief Architect Chris Ford and Security Specialist Effy Elden (both of whom helped put volume 35 together) to discuss the themes in the new edition and unpack what they mean. They discuss everything from harnesses to local coding models and explore what Technology Radar Vol.35 might be able to teach us about software and what it means to be a developer today.
Explore Thoughtworks Technology Radar (vol.35 published Nov. 4, 2026): https://www.thoughtworks.com/radar
Learn more about Chris Ford's Agentic Engineering at Scale: https://www.thoughtworks.com/insights/books/agentic-engineering-scale
A first-hand look at building an agentic platform at Splio
As fun as it is to discuss new terminology or debate the latest techniques, at some point the rubber needs to hit the proverbial road when it comes to AI. That's where things get really hard: when, say, your …
Notas do episódio
As fun as it is to discuss new terminology or debate the latest techniques, at some point the rubber needs to hit the proverbial road when it comes to AI. That's where things get really hard: when, say, your new agentic platform collides with the day-to-day realities of being an engineering team in a large organization with all the typical constraints and occasional firefighting.
On this episode of the Technology Podcast we're taking a closer look at one real-world experience of adopting an agentic platform by talking about some of the work Thoughtworks has been doing with Splio, an AI-first CRM platform. Talking with host Ken Mugrage, Thoughtworker Carolina Allende Amen is joined by Splio's VP of Engineering François Bonicel and CTO Philippe Donon to dive into the challenges, learnings and surprises that emerged as they worked together on Splio's ambitious agentic project.
Learn more about Thoughtworks' work with Splio: https://www.thoughtworks.com/clients/Splio
Dive deeper into the topic with this blog post written by Philippe and Thoughtworkers Amy Raygada and Johnny Sayers: https://www.thoughtworks.com/insights/articles/the-action-gap-customer-insight
Find out more about Thoughtworks' partnership with AWS and the Agentic Catalyst Program: https://www.thoughtworks.com/about-us/partnerships/cloud/aws/aws-software-isv
Data products, data agents and semantic layers: Exploring Microsoft Fabric
The way we think about and build with data is changing. Data lakehouses have become an industry standard, and conversation is turning to semantic and governance layers as organizations seek to optimize and …
Notas do episódio
The way we think about and build with data is changing. Data lakehouses have become an industry standard, and conversation is turning to semantic and governance layers as organizations seek to optimize and leverage data for the AI era. However, the concept of 'data products' — treating data as something that needs to be deliberately managed and packaged in a way that's easily usable and consumable for the people that need it — remains crucial.
On this episode of the Technology Podcast, host Nate Schutta is joined by Thoughtworks colleague and Data and AI Lead Lorisa Perdoci and Lauren Hartman, Cloud Solution Architect at Microsoft, to discuss everything from data products to data agents. They also explore Microsoft Fabric, discussing how its evolution in 2026 to include new features and capabilities built for AI agents and today's data integration and governance challenges, reflects the direction of travel in this field.
Rethinking the software development process for an era of specs and AI agents
The agentic era of software engineering began almost a year ago. And while much has changed in 2026, there's still a lot that hasn't been settled. One of the most important issues is how teams should …
Notas do episódio
The agentic era of software engineering began almost a year ago. And while much has changed in 2026, there's still a lot that hasn't been settled. One of the most important issues is how teams should collaborate. The idea of working with a spec may have considerable allure, but many questions remain: How should it be defined? Who owns it? How do we iterate with it? The fear of retreating back into waterfall is very real and requires vigilance.
On this episode of the Technology Podcast, hosts Ken Mugrage and Caer Sanders are joined by former Thoughtworkers Cassie Shum (formerly VP of Ecosystem and Product Engineering at RelationalAI) and Tim Cochran (recently a Principal at AWS) to discuss their new company Praxa Inc., a venture shaped by the industry's need to rethink the way we collaborate and structure our work in a world of AI agents. They discuss today's challenges, how software engineering is changing and how Praxa can help organizations navigate this period of evolution.
Learn more about Praxa: https://teaser.getpraxa.ai/
Open-weight models: What are they and when should you use them?
We've seen a huge amount of increase in interest around open-weight models in 2026. The reasons for this are multifaceted, ranging from the switch to per token billing, the evolving privacy landscape and …
Notas do episódio
We've seen a huge amount of increase in interest around open-weight models in 2026. The reasons for this are multifaceted, ranging from the switch to per token billing, the evolving privacy landscape and improvements in open-weight model capabilities.
To unpack open-weight models and explore why and when we might want to use them, host Ken Mugrage is joined by Thoughtworkers Caer Sanders and Andre Almar. They discuss everything from the precise definition of the term and how they compare to other kinds of models, to governance and hardware challenges.
AI-generated code: What has to be true for us to trust it without looking at it?
We've been thinking a lot recently about the status of code in a world where it's increasingly written and read by AI. Could the spec, for instance, become the primary way we interface with software systems? …
Notas do episódio
We've been thinking a lot recently about the status of code in a world where it's increasingly written and read by AI. Could the spec, for instance, become the primary way we interface with software systems? And if it does, will that mean humans no longer need to look at code at all?
At present, the idea of not looking at our code seems fanciful, possibly dangerous, but even within Thoughtworks there are conflicting perspectives about whether this might change. To some, code will always remain the primary artifact; to others, its role in how we build software is about to undergo a significant transformation.
On this episode of the Technology Podcast, Thoughtworks' Caer Sanders and Razin Memon join host Ken Mugrage for a debate about how the relationship between developers and code might — or might not — change in the final years of this decade. For Caer, despite the clear capabilities of AI, paying attention to code will always matter; for Razin, meanwhile, code's relevance is likely to decline as harnesses become more sophisticated and specification techniques evolve.
Whatever your view, listen for a frank and open discussion about an issue that will ultimately determine what the future of software engineering actually looks like.
Listen to our episode on harness engineering from May 2026: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/what-harness-engineering
Read a recent blog post on thoughtworks.com arguing we still need to design code for humans: https://www.thoughtworks.com/insights/blog/programming-languages/should-still-design-code-humans
Scaling the enterprise harness: How to achieve AI agent controllability across an organization
Harness engineering is still a new concept, but already we've noticed a challenge being consistently faced by technology leaders: how can a harness be used at scale across an organization to ensure consistency …
Notas do episódio
Harness engineering is still a new concept, but already we've noticed a challenge being consistently faced by technology leaders: how can a harness be used at scale across an organization to ensure consistency and controllability without undermining autonomy? To some extent it's a discussion that's reminiscent of platform engineering and, before that, DevOps, but, given the nature of AI agents, it's also unique to this particular moment.
On this episode of the Technology Podcast, host Ken Mugrage is joined by guests Thomas Squeo (Chief Technology Officer and Head of Advisory for the Americas) and Matt Kamelman (Innovation Choreographer) to explore why it's so important to scale harnesses effectively and the steps and processes that will allow you to do just that. Thomas and Matt recently wrote an article outlining how organizations should think about what they call 'enterprise harness engineering'; here, they unpack their ideas and explore what's required of engineering leaders and their teams.
Read Thomas' and Matt's article: https://www.thoughtworks.com/insights/articles/operating-system-enterprise-ai
Embracing hybrid AI: How Lenovo is leveraging local, on-device AI
Cloud was one of the main drivers of the early waves of AI adoption. However, as AI has become more and more embedded in systems and devices — in both consumer and enterprise contexts — it's becoming a …
Notas do episódio
Cloud was one of the main drivers of the early waves of AI adoption. However, as AI has become more and more embedded in systems and devices — in both consumer and enterprise contexts — it's becoming a bottleneck. This isn't just about costs (although yes, that issue is certainly surging up the agenda), it's also about how we optimize our architectures and improve device performance.
This is why conversation is turning to hybrid AI: embracing a hybrid approach that combines proprietary cloud services with local or on-device AI can help organizations deliver better experiences for users, whether they're consumers, other businesses or internal teams.
One company exploring this space is electronics giant Lenovo. In this episode of the Technology Podcast, host Prem Chandrasekaran is joined by Girish Hoogar, Lenovo's Global Head of Technology for Cloud and Software, to discuss why the company is embracing hybrid AI, how it's approaching implementation and what the implications are for other technologists.
As industry attention turns to local AI, listen for a first-hand perspective on what the trend actually means for engineering teams and their organizations.
What does the future of software engineering look like?
At the end of June, Thoughtworks and Martin Fowler convened an unconference-style event in Switzerland with a range of industry leaders. The aim was to reflect on the current challenges and learning around AI …
Notas do episódio
At the end of June, Thoughtworks and Martin Fowler convened an unconference-style event in Switzerland with a range of industry leaders. The aim was to reflect on the current challenges and learning around AI assisted and agentic software engineering and discuss the implications for the future — and, most importantly, what actions need to be taken today.
To review the event and dive into some of the topics that surfaced, host Ken Mugrage is joined by Thoughtworks colleagues Kief Morris (author of Infrastructure as Code) and Andrew Harmel-Law (author of Facilitating Software Architecture). They highlight some of the key ideas and issues that emerged from the event's conversations, ranging from developer identity to harness engineering.
Learn more about the European edition of the Future of Software Engineering Retreat: https://www.thoughtworks.com/about-us/events/the-future-of-software-development-europe-2026
Read Andrew's recent blog post that asks whether non-functional requirements could be a vital guardrail for AI-generated code: https://www.thoughtworks.com/insights/blog/architecture/non-functional-requirements-missing-guardrail-ai-generated-code
What is code?
What is code? It might sound obvious, but if you scratch the surface it becomes more difficult to articulate precisely what we mean. AI is complicating the picture further and changing the relationship …
Notas do episódio
What is code? It might sound obvious, but if you scratch the surface it becomes more difficult to articulate precisely what we mean. AI is complicating the picture further and changing the relationship developers have with code: when large amounts of executable code can be generated from high-level descriptions, what does it even mean to write code?
On this episode of the Technology Podcast, host Alexey Boas is joined by Thoughworks Distinguished Engineer Unmesh Joshi to discuss what code actually is and what it means to write, test, review and maintain code today. Building on Unmesh's recent article 'What is Code?' for martinfowler.com, this discussion dives into one of the fundamental building blocks of software while also thinking through the implications for 2026's engineering challenges.
Read Unmesh's article on martinfowler.com: https://martinfowler.com/articles/what-is-code.html
Database branching: Overcoming the bottlenecks of shared database environments
Database branching has, for a long time, been a troublesome piece in the modern developer workflow puzzle: a good idea in principle but in practice a slow and often expensive challenge. Get it right and you can …
Notas do episódio
Database branching has, for a long time, been a troublesome piece in the modern developer workflow puzzle: a good idea in principle but in practice a slow and often expensive challenge. Get it right and you can accelerate productivity and remove bottlenecks; get it wrong and you're potentially creating all sorts of trouble for yourself, from privacy risks to additional complexity.
However, things are changing. Thanks to the emergence of new platforms such as Neon, Supabase and Databricks Lakebase, branching a database can become as familiar to developers as managing code branches and multiple environments with, say, Git and Terraform.
On this episode of the Technology Podcast, host Ken Mugrage is joined by his Thoughtworks colleague Cam Casher and Databricks' Kevin Hartman to discuss the work Thoughtworks and Databricks have been doing together on Lakebase. They discuss the platform, their experience using it with Spotify's Backstage and the opportunities database branching can offer software engineering teams in an increasingly AI-assisted and agentic world.
Read Cam and Kevin's recent series on using Databricks Lakebase with Backstage: https://www.thoughtworks.com/insights/blog/data-engineering/backstage-lakebase-databricks
What is spec-driven development?
Semantic diffusion, combined with the pace of technology change, makes talking about AI-adjacent practices and techniques incredibly diffficult. There are few better examples of this issue than the term …
Notas do episódio
Semantic diffusion, combined with the pace of technology change, makes talking about AI-adjacent practices and techniques incredibly diffficult. There are few better examples of this issue than the term 'spec-driven development'. Although it's not new — its coinage precedes our current AI moment — it has become ubiquitous over the last six months or so as software professionals attempt to develop a vocabulary for talking about how they're developing methods for working successfully with coding agents.
On this episode of the Technology Podcast, Birgitta Böckeler is joined by Laura Tacho — Developer Experience at AWS — to discuss all things spec-driven development. From competing definitions to different interpretations, implementations and workflows, the discussion provides a frank and grounded look at one of the most discussed and debated terms in modern software engineering.
Learn more about Laura's work by visiting her website: https://lauratacho.com/
Read Birgitta's article on spec-driven development on Martin Fowler's website: https://martinfowler.com/articles/exploring-gen-ai/sdd-3-tools.html
Learn more about The Future of Software Development Retreat discussed on this episode and explore some of the key insights: https://www.thoughtworks.com/about-us/events/the-future-of-software-development
What is harness engineering?
'Harness engineering' is one of the most significant terms to emerge in software engineering in 2026. Broadly referring to the work done to control unpredictable AI agents and coding assistants, its use signals …
Notas do episódio
'Harness engineering' is one of the most significant terms to emerge in software engineering in 2026. Broadly referring to the work done to control unpredictable AI agents and coding assistants, its use signals growing attention on what needs to be done to make agents reliable and consistent enough for production software in the real-world.
On this episode of the Technology Podcast, Birgitta Böckeler joins hosts Prem Chandrasekaran and Nate Schutta to explore what harness engineering actually is, how it should be done and why it should matter to software engineers working today. Having written a number of articles on harness engineering for martinfowler.com based on her experiences with AI-assistance, Birgitta is well-placed to explain the core concepts and implications.
Taking in everything from the practices and ideas that pre-date and inform harness engineering to integrating harness engineering into existing workflows, listen for a conversation that will provide much needed clarity on what's an essential topic in the industry.
Read Birgitta's article on harness engineering on martinfowler.com: https://martinfowler.com/articles/harness-engineering.html
Watch Birgitta's video on harness engineering beyond skills on YouTube: https://www.youtube.com/watch?v=uLWOLmeHOSE
Anthropic Mythos: Hype, reality and the actual security implications
Anthropic Mythos garnered significant attention when it was launched in mid-April 2026. Yet despite it apparently presenting an unprecedented threat to global software, you don't have to look to closely to see …
Notas do episódio
Anthropic Mythos garnered significant attention when it was launched in mid-April 2026. Yet despite it apparently presenting an unprecedented threat to global software, you don't have to look to closely to see that this was an effective product launch as much as a story about the grave security risks of today's AI models.
But this isn't to say there aren't important implications for software developers, security professionals and other technologists. In this episode of the Technology Podcast, one of our new hosts Nate Schutta is joined by Chris Kramer to discuss Anthropic Mythos and Project Glasswing, unpacking what's hype and what really matters.
A few links for this episode:
Some more information about Project Glasswing: https://www.anthropic.com/glasswing
A story about how a small Discord group briefly had access to Mythos: https://daringfireball.net/linked/2026/04/23/discord-group-has-claude-mythos-access
How Mozilla used Mythos to discover Firefox bugs: https://www.wired.com/story/mozilla-used-anthropics-mythos-to-find-271-bugs-in-firefox/
Key themes in Technology Radar Vol.34
In April 2026 we published a new edition of the Thoughtworks Technology Radar — volume 34. Like many recent volumes, this one was dominated by AI. However, while editions over the last couple of years have …
Notas do episódio
In April 2026 we published a new edition of the Thoughtworks Technology Radar — volume 34. Like many recent volumes, this one was dominated by AI. However, while editions over the last couple of years have illustrated the dizzying proliferation of AI-related technologies, vol.34 indicates a degree of evolution in the field, demonstrated by a focus on consistency, reliability and mitigating the collaborative and individual challenges of working with AI. This is reflected in the four themes identified for this Radar: the challenge of evaluating technology in an agentic world; retaining principles, relinquishing patterns; securing permission-hungry agents; putting coding agents on a leash.
On this special Technology Radar episode of the Technology Podcast, host Ken Mugrage is joined by Alessio Ferri and Jim Gumbley to discuss the key themes in Technology Radar Vol.34. Diving into topics ranging from cognitive debt, harness engineering and the lethal trifecta, listen to gain a deeper understanding not just of the latest Radar but, more importantly, what AI-assisted and agentic software engineering really look like today.
Read the latest Thoughtworks Technology Radar: https://www.thoughtworks.com/radar
How it feels to be a software engineer when AI is changing our relationship with code
There's been a lot of discussion and debate in recent months about exactly how software engineering will be reshaped by AI. While it remains to be seen what the discipline will look like once things quieten …
Notas do episódio
There's been a lot of discussion and debate in recent months about exactly how software engineering will be reshaped by AI. While it remains to be seen what the discipline will look like once things quieten down (if they ever do), one thing has been somewhat neglected: what does software engineering actually feel like in this AI-intensive environment? If we're no longer writing code, or even interfacing with it in the way we're used to, what does that mean for our professional experience?
On this episode of the Technology Podcast, host Ken Mugrage is joined by Nate Schutta to discuss the software engineering experience today and to dig deep into what the work feels like when AI agents change our relationship with code. Nate is one of the authors of Fundamentals of Software Engineering (alongside Dan Vega) and appeared on the podcast in May 2025 to discuss the book; with so much change having taken place since then, Nate is perfectly placed to offer a perspective on what software engineering means today for an industry navigating significant change.
Learn more about The Fundamentals of Software Engineering: https://www.thoughtworks.com/insights/books/fundamentals-software-engineering-book
Listen to Nate discuss the book on an earlier episode of the Technology Podcast: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/exploring-fundamentals-software-engineering
Be brilliant at the basics: Inside Looking Glass 2026
The Thoughtworks 2026 Looking Glass report was published in January. Designed to provide business and technology leaders with the tools to better understand and navigate future trends, this edition paid …
Notas do episódio
The Thoughtworks 2026 Looking Glass report was published in January. Designed to provide business and technology leaders with the tools to better understand and navigate future trends, this edition paid particularly close attention to what organizations need to do to reach a level of AI maturity that will effectively unlock an operational and commercial edge. Taking in everything from AI-assisted software delivery to AI-ready data, it bridges the gaps between what the world is doing today, what will be possible in the months to come and what may be coming on the horizon in the long-term.
To discuss this year's Looking Glass, host Ken Mugrage is joined by Rickey Zachary and Thomas Squeo. Together, Rickey and Thomas provide both a technology and business perspective on the main insights from the report, exploring some of the key throughlines and issues Thoughtworks believes businesses need to contend with. With a complex and rapidly changing industry and economic picture, one thing emerges as critical: being brilliant at the basics.
Read the 2026 Looking Glass: https://www.thoughtworks.com/insights/looking-glass
Durable computing: What is it and why now?
Managing distributed systems and complex workflows can be challenging. What happens when something fails? If a task isn't executed to completion, that can lead to serious problems. From transaction and billing …
Notas do episódio
Managing distributed systems and complex workflows can be challenging. What happens when something fails? If a task isn't executed to completion, that can lead to serious problems. From transaction and billing failures to deploying software, even small issues can have significant consequences.
This is one of the reasons for durable computing. Designed to isolate code from crashes, it preserves state so a task is completed even when something fails.
To discuss durable computing, explore why it matters today and how we've been using it at Thoughtworks, Brandon Cook and John Coleman join host Alexey Boas on the Technology Podcast. They dive into the current platform ecosystem and what it means for developers — and requires of them. They also talk about the value of durable computing for AI, explaining why the concept of 'durable agents' offers an important of avenue of investigation in a world eager to embrace agentic systems.
Learn more about durable computing in this blog post from July 2025: https://www.thoughtworks.com/insights/blog/cloud/durable-computing-making-easier-resilience-distributed-systems
Inside AI/works™: An agentic development platform
In January 2026, Thoughtworks launched AI/works™, an agentic development platform. It promises to make the capabilities of AI agents a reality for the enterprise, helping in areas including understanding …
Notas do episódio
In January 2026, Thoughtworks launched AI/works™, an agentic development platform. It promises to make the capabilities of AI agents a reality for the enterprise, helping in areas including understanding complex legacy code, forward engineering new software solutions and agent governance.
How, though, does it actually work in practice? And what does it mean for the organizations and teams Thoughtworks works with?
In this episode of the Technology Podcast, new host Rickey Zachary is joined by Bharani Subramaniam (CTO for Thoughtworks India and the Middle East) and Shodhan Sheth (Head of Enterprise Modernization, Platforms and Cloud) to discuss AI/works™, taking in how the platform emerged from a number of recent Thoughtworks projects to how it's delivering value to businesses today.
As well as an inside perspective on Thoughtworks' new platform, the episode also offers a deep and timely exploration of questions and challenges the rapid rise of AI agents in software engineering has surfaced across every part across industry.
Learn more about AI/works™: https://www.thoughtworks.com/ai/works
Unlearning, experimentation and engineering rigor in an agentic world
In a world that's being transformed by AI agents and agentic systems, how do software developers unlearn what they know while also maintaining engineering rigor? In an in-person conversation with Nathen Harvey …
Notas do episódio
In a world that's being transformed by AI agents and agentic systems, how do software developers unlearn what they know while also maintaining engineering rigor?
In an in-person conversation with Nathen Harvey, Developer Relations Engineer at Google Cloud, and Patrick Debois, Developer Relations at Tessl, host Ken Mugrage dives into the ways individuals, teams and organizations are walking the line between experimentation and well-established engineering practices as they seek to innovate while ensuring resilience, reliability and security.
Thoughtworks is a platinum sponsor of the 2025 DORA report: https://www.thoughtworks.com/en-us/insights/reports/the-2025-dora-report
Exploring AI agent platforms
If AI agents really are the future of how work will be done — in software engineering and beyond — the platforms on which they are built, run and maintained will be crucial. This is a topic two Thoughtworkers …
Notas do episódio
If AI agents really are the future of how work will be done — in software engineering and beyond — the platforms on which they are built, run and maintained will be crucial. This is a topic two Thoughtworkers, Ben O'Mahony and Fabian Nonnenmacher, are currently writing about.
Although not due to be published until early 2027, the first two chapters of Building AI Agent Platforms are now available as part of O'Reilly's Early Release scheme. Its goal is to provide readers with a complete roadmap for developing AI agent platforms, from agent development to architectural principles to observability and governance.
In this episode of the Technology Podcast, the authors speak to regular host Ken Mugrage about the book, why agent platforms are a critical part of any AI strategy and some of the challenges of developing and maintaining them. Listen for an early look at what looks set to be a valuable book in the world of AI development and to gain a clearer perspective on what agentic AI really means at the start of 2026.
Learn more about Building AI Agent Platforms: https://www.oreilly.com/library/view/building-ai-agent/0642572243906/
Architecture antipatterns and pitfalls: Good intentions, bad habits and ugly consequences
You can grasp the basics of software architecture by learning design patterns, but you probably won't master it — to do that you have to get to grips with antipatterns too. Often these lessons are hard-won …
Notas do episódio
You can grasp the basics of software architecture by learning design patterns, but you probably won't master it — to do that you have to get to grips with antipatterns too. Often these lessons are hard-won through experience, derived from seeing what happens when architectural decisions (or the lack of them) collide with the messy reality of the real world.
While there's obviously no replacement for practical experience, Neal Ford, Mark Richards and Raju Gandhi want to share theirs to give architects the opportunity to avoid common antipatterns and pitfalls and make smarter decisions. That's what they're doing with their forthcoming book (due September 2026) Architecture Patterns, Antipatterns and Pitfalls.
On this episode of the Technology Podcast, host Neal is joined by his co-authors and their editor from O'Reilly, Sarah Grey, to discuss the book and to explore why getting to know on antipatterns and pitfalls matters as much as learning design patterns.
Learn more about Software Architecture Patterns, Antipatterns and Pitfalls: https://www.oreilly.com/library/view/software-architecture-patterns/0642572221119/
Listen to Neal and Mark discuss the various intersections of software architecture on an episode of the Technology Podcast from 2025: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/exploring-intersections-software-architecture
Are we entering the 'age of intent' in digital interaction?
The 'age of intent' is a phrase that's been around for a number of years. However, with the rise of AI agents in 2025 it has the potential to become a key trend for 2026. It describes a new way of thinking …
Notas do episódio
The 'age of intent' is a phrase that's been around for a number of years. However, with the rise of AI agents in 2025 it has the potential to become a key trend for 2026. It describes a new way of thinking about digital interaction in which the gap between human intention and output are reduced even further through AI assistance.
Thoughtworks' APAC CTO Sarah Taraporewalla has been exploring the age of intent in recent months; she's written a series of blog posts that tackle what this new phase of digital interaction means for businesses and how they can prepare themselves.
On the latest episode of the Technology Podcast, Sarah joins host Lilly Ryan to discuss the concept the age of intent and its implications for the future of digital experiences.
Read Sara Taraporewalla's series on the age of intent:
The interface is dead. Time for the age of intent: https://www.thoughtworks.com/insights/blog/generative-ai/the-interface-is-dead-time-for-the-age-of-intent
From prototype to transformation: https://www.thoughtworks.com/insights/blog/generative-ai/the-age-of-intent-from-prototype-to-transformation
What it takes to become an intent-ready organization: https://www.thoughtworks.com/insights/blog/generative-ai/the-age-of-intent-from-prototype-to-transformation
Rethinking value in the AI economy: https://www.thoughtworks.com/insights/blog/generative-ai/the-age-of-intent-rethinking-value-in-AI-economy
AI-assisted software development in 2025: Inside this year's DORA report
This year's DORA report focuses on AI-assisted software development. While one of the key themes is just how ubiquitous AI is today in software engineering, that's only part of the picture. In fact, the report …
Notas do episódio
This year's DORA report focuses on AI-assisted software development. While one of the key themes is just how ubiquitous AI is today in software engineering, that's only part of the picture. In fact, the report outlines many of the challenges the adoption of these technologies are posing and explores the barriers and obstacles that need to be addressed to ensure AI-assistance leads to long-term success.
In this episode of the Technology Podcast, host Ken Mugrage is joined by Chris Westerhold — Global Practice Director for Engineering Excellence at Thoughtworks — to discuss this year's DORA report (for which Thoughtworks is a Platinum sponsor). They dive into some of the reports findings, and explore the risks of increasing throughput, the changing demands on software developers, the importance of developer experience and how organizations can go about successfully measuring AI impact.
You can find the 2025 DORA report here: https://cloud.google.com/resources/content/2025-dora-ai-assisted-software-development-report
Read Chris Westerhold's article on this year's findings: https://www.thoughtworks.com/insights/articles/the-dora-report-2025--a-thoughtworks-perspective
We still need to talk about vibe coding: Reflections on 2025's word of the year
Vibe coding was, remarkably, named word of the year by the Collins English Dictionary at the start of November 2025 — pretty good going for a term that was only coined in February. We first discussed it on the …
Notas do episódio
Vibe coding was, remarkably, named word of the year by the Collins English Dictionary at the start of November 2025 — pretty good going for a term that was only coined in February. We first discussed it on the Technology Podcast back in April, and, given its prominence in the collective lexicon this year, thought we should revisit and reflect on the topic as 2025 draws to a close.
Lots has happened in the intervening months: MCP adoption, the evolution of agentic coding tools and practices like context engineering have had a significant impact on the way the world is thinking about and using AI.
To talk about it all and reflect on the implications, Thoughtworkers and regular podcast hosts Prem Chandrasekaran, Lilly Ryan and Neal Ford reconvened for a follow up to our April conversation. Taking in everything from the term's semantic slipperiness, its security risks and the challenges of maintaining AI-generated code, this is a discussion that, despite going deep into vibe coding, also touches on a huge range of issues in the technology industry today.
Before we enter 2026, looking back on the good, the bad and the ugly of the last 12 months of experimentation is essential if we're to build better software for the world in the future. This episode aims to be a guide through that process.
Listen to our April episode on vibe coding: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/vibe-coding
Read Ken Mugrage's blog post exploring the shift from vibe coding to context engineering in 2025: https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/vibe-coding-context-engineering-2025-software-development
How developers can get the most from new AI coding workflows
One of the biggest stories in software engineering in 2025 is the impact of generative AI on the software development lifecycle. From advances in coding assistance to the emergence of so-called agentic coding …
Notas do episódio
One of the biggest stories in software engineering in 2025 is the impact of generative AI on the software development lifecycle. From advances in coding assistance to the emergence of so-called agentic coding, there's undoubtedly a lot for software developers to process, learn and experiment with — not to mention rapid change to contend with.
On this episode of the Technology Podcast, host Ken Mugrage is joined by Brandon Cook to discuss not only how AI has been shaping the way software developers work but how developers can play an active role in ensuring the technology is leveraged safely and successfully. Taking in everything from sensible defaults and best practices to evaluating how much autonomy you should give up to an agent in any given problem, this episode offers both a snapshot of where we are today and the role we all have to play in deciding what the future will look like.
Explore the Thoughtworks Technology Radar: thoughtworks.com/radar
Listen to Brandon's last appearance on the Technology Podcast from July 2024: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/sensible-defaults-way-think-technology-practices
Themes from Technology Radar Vol.33
In every Thoughtworks Technology Radar we feature three to five themes that represent the core issues and topics that emerged from the conversations we had when putting the publication together. This time (Fall …
Notas do episódio
In every Thoughtworks Technology Radar we feature three to five themes that represent the core issues and topics that emerged from the conversations we had when putting the publication together. This time (Fall 2025) they're all united by AI. They are: infrastructure automation arriving for AI, the rise of agents elevated by MCP, AI coding workflows and emerging AI antipatterns.
On this episode of the Technology Podcast, Bryan Oliver joins Neal Ford and Ken Mugrage to discuss all four of volume 33's themes. They dive into what they mean, how the team arrived at them and what they tell us about the state of software engineering and AI in 2025.
Read the latest Thoughtworks Technology Radar: thoughtworks.com/radar
Volume 33 will be published November 5, 2025.
What does an AI strategy with humans at the center look like?
Everyone knows an AI strategy is important — but how do you build one with humans at the center? That's a question Tiankai Feng, Thoughtworks Global Director for Data and AI Strategy, has been pondering ever …
Notas do episódio
Everyone knows an AI strategy is important — but how do you build one with humans at the center? That's a question Tiankai Feng, Thoughtworks Global Director for Data and AI Strategy, has been pondering ever since the publication of his 2024 book Humanizing Data Strategy. Now, just over a year later, he's outlined his thinking in a follow-up, Humanizing AI Strategy. With the subtitle "leading AI with sense and soul," it's a practical and thoughtful guide aimed at helping the industry rethink the way AI is embedded and leveraged across organizations.
In this episode of the Technology Podcast, Tiankai joins host Prem Chandrasekaran to discuss his new book. He explains why he wrote it, how it compares to his first book and discusses the framework it puts forward. Listen for a fresh perspective on AI in business and some practical strategies for leaders to bring purpose and conscience to AI initiatives.
Learn more about Humanizing AI Strategy: https://www.thoughtworks.com/insights/books/humanizing-ai-strategy
Read a Q&A with Tiankai: https://www.thoughtworks.com/insights/blog/data-strategy/how-put-human-center-ai
What we're talking about when we talk about context engineering
Everyone seems to be talking about context engineering. That was certainly the case in our recent discussions for the upcoming edition of the Technology Radar (volume 33, due early November 2025). And although …
Notas do episódio
Everyone seems to be talking about context engineering. That was certainly the case in our recent discussions for the upcoming edition of the Technology Radar (volume 33, due early November 2025). And although we ran into the term on the Technology Podcast just a few weeks ago, we thought it would be useful to try and tackle exactly what people are talking about when they talk about context engineering. We know context is important when it comes to AI, but what does it mean to engineer it?
On this episode of the Technology Podcast, host and Thoughtworks CTO Rachel Laycock is joined by Thoughtworkers Alessio Ferri (Lead Software Engineer) and Bharani Subramaniam (CTO for India and the Middle East) to discuss what context engineering is, how it's being done and what it tells us about the evolution of AI. This certainly won't be the last word — ours or anyone else's — on context engineering, but it might help clarify and cement your understanding as the term comes to dominate technology conversations.
Aqui estão os 40 episódios mais recentes de 100. Os mais antigos estão no feed do podcast.
Podcasts parecidos
Mais podcasts de Tecnologia
Este podcast é seu?
Confirme com uma entrada no seu feed: você recebe um código aqui, adiciona como podcast:txt no canal do seu feed e nós verificamos. Depois disso, seu podcast aparece como “verificado” no SoundNode.