Patched Features

Patched is an open-source workflow automation framework that uses AI to accelerate mundane development tasks like code reviews, documentation, and security patching.
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Key Features of Patched

Patched is an open-source workflow automation framework that uses AI to streamline development tasks. It offers customizable patchflows for code reviews, documentation generation, dependency upgrades, and more. Patched integrates with existing development tools and LLMs, allowing teams to create complex, multi-step workflows while prioritizing privacy and flexibility.
Customizable Patchflows: Create and customize AI-powered workflows for various development tasks using code, no-code builder, or text prompts.
Privacy-Focused Deployment: Deploy within your own infrastructure using your own LLM API keys for complete data privacy and control.
Extensive Integrations: Seamlessly integrates with 21+ development and security tools, including GitHub, GitLab, Jira, and various LLM providers.
Open-Source and Free: Fully open-source project that can be used for free, with optional managed service available.

Use Cases of Patched

Automated Code Reviews: Use the PRReview patchflow to automatically summarize and comment on pull requests, improving code quality and saving developer time.
Documentation Generation: Leverage the GenerateREADME patchflow to automatically create and update documentation for project folders.
Dependency Management: Employ the DependencyUpgrade patchflow to automatically update vulnerable dependencies while mitigating breaking changes.
Custom Development Automation: Create tailored patchflows for specific team needs, such as issue triage, planning, or specialized code maintenance tasks.

Pros

Highly customizable and flexible
Privacy-focused with on-premises deployment option
Free and open-source with extensive integrations

Cons

Requires some technical setup and configuration
Dependent on external LLM APIs for full functionality

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