Notes tagged with

ai-agents

Companies are unbundling coding assistants into internal agents, gateways, private inference, tools, and governance. Real deployments show why control often moves in-house before frontier inference does.

Navigable code does not make coding agents more correct, but it can reduce tokens and repeated file visits. This guide turns evidence about names, boundaries, and hidden dependencies into practical coding and review rules.

A reliable harness must optimize the repository for agent navigation and move verification from natural-language instructions into executable, independent, and measurable mechanisms.

AI-assisted programming broke the link between how sophisticated software looks and how well its authors understand it. A practical test for spotting comprehension debt in your own work.

Loop engineering is the new phrase in AI coding circles. Here is what is real, what is exaggerated, and how senior engineers should think about agent loops.