Agents Need Feature Flags - Sachin Gupta
AI Engineer · 2026-07-18 · 19м 17с · 934 просмотров · YouTube ↗
Топики: ai-agent-orchestration
Аудио ещё не скачано.
📝 Summary
Summary ещё не сгенерён.
📜 Transcript
Transcript ещё не сделан.
⚙️ Pipeline jobs
Нет job'ов в очереди.
📄 Описание YouTube
Показать
Most AI teams ship behavior changes to 100% of users on every deploy — no canary, no segment, no kill switch. Web teams stopped doing this in 2012. AI teams are about to learn why. Feature flags are table stakes in software engineering. In agent systems they're almost nonexistent — prompts, tool access, model selection, memory policy, and autonomy level all change globally the moment you ship. That's why your "small" prompt tweak just broke 12% of your users and you found out from a Discord screenshot. This talk walks the feature-flag patterns agents specifically need — beyond the standard boolean-toggle. We'll cover segment-targeted prompt variants, per-tool access flags, model-routing flags, autonomy-level flags (suggest vs. auto-approve vs. auto-execute), memory-policy flags, and the kill switch every agent system should have on day one but almost none do. Speakers: - Sachin Gupta: Sachin Gupta is a Staff Software Engineer with 15+ years building backend platforms at internet scale, currently focused on the runtime trust boundaries that LLM coding agents blur and the creator of HeapLens, a Java heap analyzer extension used in 50+ countries. LinkedIn: https://www.linkedin.com/in/guptasachin1/ GitHub: https://github.com/sachinkg12