Goatfied predicts your next edit, rewrites code from a sentence, and runs agents that open pull requests while you sleep.
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Explorer
Works with the stack you already have
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Predicts the next edit, not just the next token — including edits in files you have not opened yet. Trained on real multi-file refactors rather than isolated snippets.
Select anything, describe the change, review the diff. Applies across the file or across the repository, and never touches your working tree until you accept.
Agents run in an isolated sandbox with scoped credentials, compile and test their own work, and retry against the failure. What arrives has already survived your checks.
Built for real teams
The model is the easy part. What decides whether a team can actually adopt this is where it runs, what it retains, and what it has to prove before you look at the result.
The same workspace in a native app or a browser tab. Start on your laptop, finish on a borrowed machine.
Type II audit underway, targeting Q3 2026. Ask for the current report status and we will tell you exactly where it stands.
Self-host the inference plane on your own Kubernetes cluster. Source and prompts never leave your network.
Connect your own tools through the Model Context Protocol. Agents use them the same way they use the shell.
Zero retention by default. Prompts and completions are dropped when the request finishes, and never used for training.
Drive agents from a shell or a pipeline. Trigger a run from a workflow and get the result back as a pull request.
Median of the p95 across our production regions over the last 30 days.
Tree-sitter grammars bundled for syntax-aware retrieval.
Inference regions available for data-residency pinning.
Default policy. Prompts and completions are dropped when the request completes.
Use cases
Point an agent at the old call sites. It works through them in batches, keeps the test suite green at every step, and opens one pull request per module so review stays possible.
Learn more Backlog triageSmall, well-specified bugs go to an agent overnight. Each one comes back as a pull request with the failing test that reproduced it and the passing run that fixed it.
Learn more Daily flowTab handles the mechanical edits and Cmd+K handles the ones you can describe faster than you can type. No chat window, no copying code out to a browser.
Learn moreWe wrote the comparisons we would want to read — including the cases where the other tool is the better choice, and the date each page was last checked.
Start free. Every paid plan includes generous model usage, then bills usage-based — pay-as-you-go at API rates only when you exceed it.
For the working dev
For heavy individual use
For power users
For organizations
For scaling orgs
For regulated teams
All plans include zero-retention by default. Compare plans in detail
Prompts and completions are dropped when the request finishes, and are never used to train a model.
Underway now, targeting Q3 2026. We will say where it stands rather than imply it is finished.
Incorporated 2024. A real company with a real address, a DPA and named sub-processors.
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Free to download, free to try, and it runs on your own hardware if that is what your security team needs.
macOS · Windows · Linux · Web · No credit card
