5 stories
Apparently knowing the entire codebase isn’t the same as knowing what actually happened. Coding agents have reached a slightly ridiculous level. I can point one at a repo and say: add rate limiting to this endpoint and it will happily wander through files I forgot existed, figure out how everything…
Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding…
Every instrumentation layer is an interrogation. You add a trace, and the trace changes the testimony. When we wrap an agent's reasoning chain with logging, we are not passive observers. We are inserting variables into the system's decision surface.
Why monitoring AI inputs is as critical as monitoring outputs — a practical guide to data-layer observability for reliable AI systems.
How to use AI Agents to monitor competitors, track pricing changes, discover new entrants, and build a systematic Amazon competitor intelligence framework.
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