patchwork

st painful parts of the software development lifecycle. Here is an example PR created by a patchflow that automates SDK generation with complex type information: https://github.com/stack-auth/stack/pull/300. Under the hood, Patched is powered by our patchwork library (https://github.com/patched-codes/patchwork) and an LLM optimization proxy(https://github.com/codelion/optillm) - both of which we have open-sourced. You can run these workflows within your CI/CD pipeline, or from the command line, completely independent of our platform. This gives you full control without being locked in, while allowing us to build a monetizable product around it. While there are some great point solutions for tackling individual tasks, we believe the real solution lies in an open, holistic approach—one that teams can tweak, extend, or self-host. You can try Patched at https://app.patched.codes/signin - we’d love to hear your feedback on our approach and the user experience.

oviding specialized context [3]. Success rates are higher for text-based patchflows like PR Review and Generate Docstring, but lower for more complex tasks like Dependency Upgrades. We are not a coding assistant or a black-box GitHub bot. Our automation workflows run outside your IDE via the CLI or CI scripts without your active involvement. We are also not an ‘AI agent’ framework. In our experience, LLM agents struggle with planning and rarely identify the right execution path. Instead, Patchwork requires explicitly defined workflows that provide greater success and full control. Patchwork is open-source so you can build your own patchflows, integrate your preferred LLM endpoints, and fully self-host, ensuring privacy and compliance for large teams. As devs, we prefer to build our own ‘AI-enabled automation’ given how easy it is to consume LLM APIs. If you do, try patchwork via a simple 'pip install patchwork-cli' or find us on Github[4]. Sources: [1] https://blog.tidelift.com/developers-spend-30-of-their-time-... [2] https://www.patched.codes/blog/patched-rtc-evaluating-llms-f... [3] https://www.patched.codes/blog/how-good-are-llms [4] https://github.com/patched-codes/patchwork [Sample PRs] https://github.com/patched-demo/sample-injection/pulls

ork can serve as a universal open framework for your dev chore automation, unlike point (and closed) solutions that focus on specific tasks. Open-sourcing Patchwork was a no-brainer. Agentic workflows fail far too often and need deep context. We believe that the first generation of truly usable AI agents will need users to define and customize their behavior without constraints. And open source is the best way to enable that. Plus, as a team, we have been part of initiatives like LF/OpenSSF and love the community. We are an early, bootstrapped team and would love for you to try patchwork and give us some feedback. Tell us what chores or tasks you'd like to automate, or what must we add before you can adopt something like this!