Fck Git — Page 2

Larger context windows make long-running agents worse, not better—here's why.

Organize system prompts in five layers to keep coding agents coherent across sessions.

Agents need real-time production feedback to correct themselves, not dashboards.

Infrastructure built for human developers now bottlenecks when agents drive delivery at scale.

Monolithic DevOps platforms can't handle machine-speed software factories.

AI agents write code faster than humans can review it, so the infrastructure has to change.

Agents need structured transcript logs that conventional logging architectures cannot provide.

Analyzing agent transcripts reveals four repeated waste patterns that drive quadratic token costs.

Realistic testing reveals coding agents perform far worse than leaderboard scores suggest.

Systems for automatically analyzing AI agent work logs at scale.

Transcripts reveal how coding agents actually behave and predict failures early.