pr-agent vs no-mistakes
Two of the top projects in Code review and testing, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
pr-agent
LLM pull request reviewer that comments via /review, /describe and /improve
no-mistakes
Local git proxy that runs AI review, tests and lint before opening a PR
Verdict
pr-agent ranks higher, 63 to 60. Of the 3 score parts we measure for both, pr-agent leads on 1, no-mistakes on 1 and 1 is even.
- Adoptionpr-agent leads by 24 points, 41 to 17: a wide gap.
- FreshnessEven at 100.
- MaintenanceWe do not score no-mistakes on this; pr-agent has 99.
- Easy to runWe do not score no-mistakes on this; pr-agent has 33.
- Agent-readyno-mistakes leads by 40 points, 70 to 30: a wide gap.
Pick pr-agent if you are
Teams wanting self-hosted AI pull request review in CI or on their git host
- Supports GitHub, GitLab, Bitbucket, Azure DevOps and Gitea
- Model-agnostic via LiteLLM: OpenAI, Claude, Gemini, Bedrock, Ollama and others
Pick no-mistakes if you are
Developers who want agent-checked branches before raising PRs
- Runs in an isolated worktree, so your working directory is not disturbed
- Works with claude, codex, grok, opencode, copilot, cursor and others, with ordered fallbacks
| What we compare | pr-agent | no-mistakes |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 41, known | 17, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 99, healthy | Not scored for this kind |
| Easy to run | 33, some setup | Not scored for this kind |
| Agent-ready | 30, minimal | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 13.4k | 8.8k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Sep 2026 |
| Language | Python | Go |
| Docker | Yes | No |
| GPU | Not needed | Not stated |
| arm64 or Apple Silicon | Not stated | Not stated |
pr-agent
PR-Agent runs as a GitHub Action, CLI, Docker image or webhook service and posts AI-generated descriptions, reviews, code suggestions and Q&A on pull requests. Each tool makes a single LLM call, and a compression strategy handles large diffs. It supports GitHub, GitLab, Bitbucket, Azure DevOps and Gitea, and any model reachable through LiteLLM.
Who it is for: Teams wanting self-hosted AI pull request review in CI or on their git host
Strengths
- Supports GitHub, GitLab, Bitbucket, Azure DevOps and Gitea
- Model-agnostic via LiteLLM: OpenAI, Claude, Gemini, Bedrock, Ollama and others
- One LLM call per tool, about 30 seconds per command
- Review behavior is configurable through a TOML settings file and JSON prompts
Weaknesses
- Described as a community-maintained legacy project of Qodo
- /help_docs is disabled since v0.36.1 over a credential-exposure issue
- Needs your own LLM API key and per-provider setup
- Docker images moved to pragent/pr-agent from 0.34.2, so pinned references break
- no GPU
- Docker + Compose
- Needs LLM API key (e.g. OpenAI), Git provider token
- Models: OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek, Mistral
no-mistakes
no-mistakes places a local git remote in front of your real one. Pushing to it creates a disposable worktree and runs a pipeline (review, test, docs, lint, push, PR, CI) driven by a coding agent CLI such as claude or codex. The branch is forwarded to the real remote only after every gate passes, and a PR is opened for you. Safe fixes are applied automatically; other findings wait for approval in a TUI.
Who it is for: Developers who want agent-checked branches before raising PRs
Strengths
- Runs in an isolated worktree, so your working directory is not disturbed
- Works with claude, codex, grok, opencode, copilot, cursor and others, with ordered fallbacks
- Three entry points: git push, a TUI, or a /no-mistakes agent skill
- Watches CI after the PR opens and auto-repairs failures
Weaknesses
- Requires a runnable coding agent CLI configured for every gate
- Agent calls spend API quota; RAM and cost figures are unknown
- CI repairs may need another full review pass if revalidate_repairs is set
- Auto PR creation and CI watching are documented only for configured push targets such as GitHub
- Needs git, a coding agent CLI (claude, codex, opencode, etc.)
- Models: claude, codex, grok, rovodev, opencode
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