How Snap Built a Production System Where Agents Write 90% of Code
Notes de l’épisode
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More than 90% of the code at Snap is now written by AI agents, and a code review agent checks most of it within ten minutes. Saral Jain, SVP, Head of Engineering and CIO at Snap Inc., built the system that makes that safe for nearly a billion monthly users. He explains the golden path of 14 managed agents, the guardrails that account for more than half of the investment, and why accountability still rests with a named human for every change that ships.
YOU'LL DISCOVER
✅ Why Snap funds 14 blessed agents on a golden path instead of letting every team build its own
✅ How Casper turns a Slack conversation into a sandboxed pull request that CodePal reviews before a human sees it
✅ Why more than half of Snap's agent investment goes into evals, code review and rollback rather than into building
✅ The risk-tiering test that separates an internal dashboard from a privacy-sensitive change
✅ Why Saral says the risk is not AI-generated code, it is unowned code
✅ How Snap measures value on outputs, with commits up 75% year over year and severe outages down 57%
✅ Why context beats model 100 out of 100 times, and what context actually means inside a 15-year-old codebase
✅ Four pieces of advice for CIOs, ending with why adoption has to start at the top
⏱️ TIMESTAMPS
0:00 Agents write the code, engineers own it
7:17 Agents as teammates with defined personas
12:52 Systems for agents, features for humans
16:09 How Snap governs thousands of agents
22:39 Invest in guardrails before building agents
29:46 Output metrics and the coordination tax
33:08 Context you can give, judgment you cannot
38:14 The risk is unowned code
44:58 Working with unpredictable AI systems
47:13 Agents beyond engineering, and human skills
50:24 Token spend and model routing
52:35 Advice for leaders and the risks ahead
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Show notes, transcript, and summary: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scale
Episode 929 | Recorded August 21, 2026
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