How Snap Built a Production System Where Agents Write 90% of Code

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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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