Patched Introduction
Patched is an open-source workflow automation framework that uses AI to accelerate mundane development tasks like code reviews, documentation, and security patching.
View MoreWhat is Patched
Patched is a set of open-source Python scripts and LLM prompts designed to automate repetitive development tasks. It allows developers to create and run intelligent 'patchflows' - AI-powered workflows that can handle code reviews, generate documentation, upgrade dependencies, and more. Patched integrates with existing development tools and can be deployed on-premises or used as a managed service, providing a flexible solution for teams looking to streamline their software development lifecycle.
How does Patched work?
Patched works by executing predefined or custom patchflows. These patchflows are sequences of steps that leverage large language models (LLMs) and integrate with various development tools like GitHub, GitLab, Jira, and more. Developers can use ready-made patchflows for common tasks or create their own using a combination of code, no-code builders, or even text prompts. The system can be run via a command-line interface or through a web-based GUI in the managed service. Patched connects to LLM APIs (which can be self-hosted or provided through the service) to generate intelligent responses and actions based on the context of the development task at hand.
Benefits of Patched
By using Patched, development teams can significantly reduce the time spent on repetitive tasks, allowing developers to focus on more creative and complex aspects of software engineering. The customizable nature of patchflows means teams can tailor the automation to their specific needs and workflows. The privacy-first approach, with options for on-premises deployment and use of proprietary LLM APIs, ensures sensitive code and data remain secure. Additionally, the open-source nature of Patched means it's free to use and can be extended by the community, while the managed service option provides convenience for teams that prefer not to manage the infrastructure themselves.
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