Turn every channel of feedback into a draft pull request.
Lithify collects bug reports, feature requests, and feedback from wherever your users are — web forms, in-app, email, error trackers, MCP — and refines each one with an LLM into a clear, structured brief. When the brief is confident enough, it hands it to a coding agent that opens a draft pull request. A human stays in the loop wherever the AI is unsure. It is early: a private alpha we are building in the open.
Feedback in, draft PR out.
“exporting my clients to csv just spins forever when i have a lot of them, pls fix”
What it actually does.
Intake from anywhere
Web forms, in-app and iOS feedback, email, Sentry, an authenticated API, and MCP. Every channel lands as one brief.
AI enrichment
Each brief gets a clearer title and description, a type, priority, labels, and a confidence score — before a human looks.
Facet extraction
At intake, every brief is distilled into structured facets — theme, sentiment, affected surface, severity. Structure, not prose, is what makes ranking possible.
Cluster into initiatives
Each brief is embedded and matched against existing initiatives by meaning. Close enough, it joins the cluster; otherwise it spawns a new one — the step issue-trackers skip.
Spam pre-screen
A flagging pass catches junk and prompt-injection before enrichment. Only real signal reaches your inbox.
Confidence-gated
Above your threshold, a brief opens for the agent. Below it, a human decides. You set the line, per project.
Feedback → draft PR
A coding agent claims an open brief, works an isolated branch, and opens a draft pull request on GitHub or GitLab.
Reopen with feedback
Not right the first time? Reopen with notes. The next attempt reads every prior one and starts informed.