AI-Native Engineering Leader · 25 years in SDLC · Building production-grade agent systems with LangGraph, CrewAI, and circuit breakers · ex-Microsoft · WBD
Engineering leader with 25 years building CI/CD platforms, developer experience tooling, and cloud infrastructure at Warner Bros. Discovery, Microsoft, and Nordstrom. Currently building production-grade AI agent systems — circuit breakers, model routing, cost boundaries, and reliability patterns for LLM agent loops. Author of ai-loopguard, an open-source circuit breaker for agent loops.
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Grunz_ai
the intern framing works, with one catch we hit building grunz (coding agent): interns keep their onboarding, agents can lose it mid shift. when the context gets summarized to make room, the onboarding and even the original task can get squashed into something vague, and the agent starts the job over like it's day one. we tried fixing that by stuffing the onboarding back into the system prompt, which counted toward the limit and made it compact even more often, basically a loop. curious whether ai-loopguard would catch that kind of loop, since every step looks like progress from the inside