Code review/audit tool
Project description
auditview
A line-level code review and audit tool. Track review coverage across an entire codebase, survive live edits, and annotate with notes — until every line has been seen by a human.
Why this exists
Vibe-coded projects are fast to build but hard to trust. LLM-generated code can have subtle bugs, bad patterns, or security issues that only become visible on careful reading. There was no good tool for systematically tracking "have I actually read this line?" across a whole codebase.
auditview was built to fill that gap. The workflow it enables:
- Open a project directory in auditview.
- Review lines — mark them as reviewed, leave notes, flag issues.
- Reach 100% coverage.
- Announce the project as "AI-generated, 100% reviewed by human" — not just vibe coded.
This matters for security engineers auditing unfamiliar codebases, and for developers who want to take ownership of code they didn't write line by line.
Core concept: review coverage
Coverage is the primary metric — reviewed lines / countable lines. Blank lines and (optionally) comment-only lines are excluded. The goal is a clear, honest percentage that means "a human has read this."
Review state is content-based, not line-number-based. When files change, the reconciler migrates marks to their new positions on a best-effort basis. The invariant is strict: a line is never falsely marked as reviewed. Ambiguous cases are dropped rather than migrated.
Roadmap direction
VCS integration — once 100% coverage is reached, a snapshot of that state can be tagged as a trusted version. Future changes then reduce to a git diff against the trusted tag — only the delta needs review. Line-level reconciliation becomes unnecessary for stable, version-controlled codebases.
Human + AI collaboration — the MCP endpoint allows AI agents to read file state, leave comments, create and resolve issues, and participate in the review process alongside humans. The long-term vision is a platform where humans and agents review code together, with full audit trails.
See also
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