VibeCheck – AI code handover audit

Give AI-assisted teams a handover-readiness audit before the codebase becomes a black box

Problem

As vibe coding becomes the norm, teammates ship faster with AI but understand the codebase far less: they can't locate issues without AI, can't explain why a component works the way it does, and can't say what its inputs or outputs are. Nobody can fully explain the code, so if the AI session or original author disappears, the project becomes a black box.

Solution

Scan the repo's git history and commit patterns to flag likely AI-generated chunks (boilerplate-like commits, large one-shot additions, thin contextual comments), then produce a handover-readiness score and a risk list. Require a short human-written rationale for each high-risk module and track how much remains undocumented.

Users

Small/mid dev teams using Cursor or Claude Code, tech leads handing off projects, outsourcing teams inheriting code

MVP

Connect to a GitHub repo and read commit history; score with heuristics (commit granularity, comment density, repetitive generation traces); output a single-page HTML report highlighting risky files; auto-comment on PRs to request rationale; run locally, never upload source

Revenue

Per-repo subscription for teams, or open-core with paid self-hosting; charge extra for CI integration

Why now

Vibe coding is mainstream while teams are just now hitting the handover disaster of code nobody understands—a fresh pain point with no standard tooling; heuristics alone give useful value to a solo dev without model training