RepoGuide — Verified AI Codebase Onboarding

New developers routinely lose days to weeks reading through an unfamiliar codebase before their first meaningful commit — piecing together tribal knowledge, guessing at architecture, and hesitating to touch anything they don't understand. This onboarding tax is a universal, quantifiable cost for every engineering team, and it compounds every time someone joins a project or returns to old code. RepoGuide solves this with three integrated features built on IBM Bob 2.0. First, point it at any repository (local path or GitHub URL) and it produces a plain-English architecture summary, a real "percent of codebase explained" score, and a ranked list of safe, well-scoped first tasks — actual TODOs and thin-test-coverage files, not busywork. Second, a grounded Q&A system lets a new developer ask anything about the codebase and receive an answer with file:line citations that are independently re-verified by a separate Critic agent against the actual source before being shown as verified or unverified — tested against a real public repository (pallets/flask), it achieved a 100% citation verification rate, and when asked a question the repo genuinely couldn't answer, it honestly said so instead of hallucinating a plausible-sounding fake answer. Third, an Error Triage tool lets any developer paste a stack trace or error log and get back ranked likely causes with confidence scores, using real regex-based extraction across Python, Node/JS, and Java formats plus LLM-driven root-cause ranking. What makes RepoGuide different from a general-purpose AI chatbot pointed at a codebase is the verification loop: it doesn't just answer, it checks its own answers before showing them to you, and admits uncertainty when warranted. Every number shown — files explained, tasks found, citation pass rate — is computed live from the actual run, not hardcoded. RepoGuide turns the slowest, most frustrating part of joining a new codebase into a guided, honest, minutes-long process.