no-mistakes vs e2e
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.
no-mistakes
Local git proxy that runs AI review, tests and lint before opening a PR
e2e
AI-driven end-to-end testing framework for web and mobile apps
Verdict
no-mistakes ranks higher, 71 to 67. Of the 5 score parts we measure for both, no-mistakes leads on 2, e2e on 2 and 1 is even.
- Adoptione2e leads by 9 points, 60 to 51.
- FreshnessEven at 100.
- Maintenancee2e leads by 10 points, 94 to 84.
- Easy to runno-mistakes leads by 17 points, 50 to 33: a wide gap.
- Agent-readyno-mistakes leads by 40 points, 85 to 45: a wide gap.
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
Pick e2e if you are
Teams writing end-to-end tests for web and mobile apps in TypeScript
- Recorded agent actions replay with no model calls until the app changes
- Tests without agent steps need no model at all
| What we compare | no-mistakes | e2e |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 51, popular | 60, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 84, healthy | 94, healthy |
| Easy to run | 50, easy | 33, some setup |
| Agent-ready | 85, ready | 45, minimal |
| Facts from GitHub and the README | ||
| Stars | 8.9k | 10.7k |
| License | MIT (permissive) | Apache-2.0 (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Sep 2026 | Oct 2026 |
| Language | Go | TypeScript |
| Docker | No | No |
| GPU | Not stated | Not needed |
| arm64 or Apple Silicon | Mentioned | Not stated |
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
e2e
TypeScript test runner where an agent carries out natural-language goals in the app, and ordinary locators and assertions verify the result in the same test. Agent steps that a later assertion checks are recorded and replayed on the next run without model calls until the app changes. Web runs use Playwright (Chromium, Firefox, WebKit); mobile runs use iOS simulators and Android emulators.
Who it is for: Teams writing end-to-end tests for web and mobile apps in TypeScript
Strengths
- Recorded agent actions replay with no model calls until the app changes
- Tests without agent steps need no model at all
- Web via Playwright; iOS and Android via simulators and emulators
- Examples for Next.js, Vite, Astro, Expo, SwiftUI, Compose, Flutter
Weaknesses
- APIs and config can still change between minor releases before 1.0
- CLI sends anonymous telemetry by default; opt-out required
- Agent steps need a model subscription, API key, or local model
- Hosted browser and simulator options depend on third-party services
- no GPU
- Needs Node.js, Playwright, agent-device, iOS simulator or Android emulator (mobile)
- Models: Bring your own subscription, API key, or local model
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