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Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Learn how an agent reconstructs distributed systems from code and configs, evaluating behavior under load and failure propagation, and how to improve LLM reliability through constrained extraction.
I built an agent that reads code and deployment configs from multiple repositories to reconstruct a distributed system and reason about its behavior under different scenarios.
The demo shows how the agent extracts structure from real, inconsistent codebases and evaluates system behavior under load, including failure propagation across services.
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