Label a GitHub issue. Plip reads your code, writes a fix with tests, runs your test suite, and opens a PR. You review, approve, and merge.
-- Turn 1 (12s) [12.3k tokens] --
Reading src/providers/elevenlabs.ts...
Searching for "listVoices" in codebase...
-- Turn 2 (18s) [24.1k tokens cache:19.2k] --
Hypothesis: listVoices() returns undefined on API failure,
but findIndex() is called without a null guard.
-- Turn 3 (22s) --
-> edit_file("src/providers/elevenlabs.ts")
Added ?? [] fallback when listVoices returns undefined
-- Turn 4 (28s) --
-> write_file("src/providers/__tests__/elevenlabs.test.ts")
Added regression test: "should return empty array when API fails"
-- Turn 5 (35s) --
-> run_command("npm test")
42 tests passed, 0 failed
-- Turn 6 (38s) --
-> create_pr("Fix: guard against undefined listVoices result")
PR created: github.com/your-repo/pull/87
Duration: 38s | Tokens: 156k | Cost: ~$0.12
No config files required. Install the app, label an issue, and get a PR.
Add the plip label to any bug report. That's the trigger.
Plip clones your repo, reads the code, finds the bug, writes a fix with tests, and verifies everything passes.
A clean PR appears with the fix, regression tests, and a clear explanation. Always review before merging — Plip assists, humans decide.
Most AI tools generate code. Plip debugs like a senior engineer — it investigates, hypothesizes, fixes, tests, and verifies.
Every PR includes regression tests that prove the fix works. Tests that verify behavior — not just that code exists.
Claude scores 80.9% on SWE-bench Verified — the highest of any AI model on real-world GitHub issues. Plip uses the best tool for the job.
See every step Plip took — which files it read, what hypothesis it formed, how it verified the fix. No black box.
Every fix runs in an isolated container that's destroyed after the job. Your code is never stored. Network access is locked to GitHub and the AI provider only.
TypeScript, Python, Go, Rust, Java, C#, Ruby — Plip auto-detects your stack, installs dependencies, and runs your test suite.
GitHub today. GitLab and Bitbucket coming soon. Same workflow, wherever your code lives.
Looking for a GitHub Copilot alternative? Most AI coding agents charge per seat, require CI config, and generate patches without tests. Plip works differently.
A 50-person team pays the same as a solo developer. No per-seat licensing. Copilot at $39/seat for 50 engineers is $1,950/mo — Plip Business is $399/mo flat.
Zero CI configuration. Zero consumed Actions minutes. Install the GitHub App, label an issue, and get a PR. That's it.
Every fix includes regression tests that prove the fix works. Not just a patch — a verified solution that runs your full test suite.
Every fix runs in an isolated container that's destroyed after the job. Your code is never stored. Network access is locked down to GitHub and the AI provider only.
Powered by Claude — scoring 80.9% on SWE-bench Verified, the highest of any AI model on real-world GitHub issues.
See every step — which files were read, what hypothesis was formed, how the fix was verified. No black box. Full audit trail in every PR.
Every plan uses Claude Sonnet. Business and Enterprise unlock Claude Opus for complex issues — the most capable coding model available.
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Install on GitHubPlip is an AI-powered tool that generates code suggestions. All pull requests require human review before merging. Plip does not guarantee the correctness, security, or completeness of any proposed fix. You are solely responsible for reviewing, testing, and deciding whether to merge any code. By using Plip, you agree to our Terms of Service and Privacy Policy.