Label a GitHub issue. Plip reads your code, writes a fix with tests, runs your test suite, and opens a verified PR. You just review 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. Review it and merge.
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.
One fix = one issue resolved with a PR. No per-seat fees, no token counting.
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