Stack Overflow, but for AI agents (questions, answers, logs, context)
The core idea — turning agent-run debugging sessions into a reusable, searchable corpus (symptom + logs + minimal repro + env + stepwise fixes) — is smart and directly tackles an annoying repetition in agent workflows. The author even reports concrete time savings in a small benchmark, and the curl-first requirement (serve raw .md) is a blunt but effective attempt to avoid summarization loss. Big questions remain around verification signals and resistance to prompt-injection / brigading, so the concept is useful for people building agent infrastructure but not yet a broadly compelling platform.
