AI Code Review with DeepSeek

Headless PR review automation that verifies PR descriptions claim-by-claim against real code, checks docs against reality, and flags requirement impact. Open source, runs locally.

View on GitHub Read the guides

PR descriptions lie. Docs go stale. Manual code review is slow and inconsistent. This tool runs a DeepSeek Harness agent that deep-dives into the actual code of every pull request and tells you whether the description matches reality — with file:line evidence for every claim.

PR review dashboard showing each claim from a PR description checked against real code with file:line evidence

The tool reviewing its own pull request. Each sentence of the description becomes a numbered claim with file:line evidence, and the header reports what it found rather than what the author claimed.

What it does

Guides

How to automate PR review with DeepSeekSet up a headless AI code review pipeline for your GitHub repos in 5 minutes Verify PR descriptions with an LLMSplit a PR description into verifiable claims and check each one against the code Detect stale and fabricated docs in your codebaseAutomatically compare repo documentation against real code — Match, Stale, Wrong or Fabricated

Quickstart

curl -fsSL https://raw.githubusercontent.com/nexpeakcore/deepseek-harness-pr-review/main/scripts/install.sh | bash
gh auth login
export DEEPSEEK_API_KEY=sk-...

harness-pr-review doctor                                  # check readiness
harness-pr-review https://github.com/owner/repo/pull/123  # review one PR
harness-pr-review owner/repo 123                          # or owner/repo + number
autoreview --daemon                                       # auto review every 2 min
harness-pr-review web                                   # dashboard at :6789