Patched
Patched is an open-source workflow automation framework that uses AI to accelerate mundane development tasks like code reviews, documentation, and security patching.
Visit Website
https://patched.codes/
Product Information
Updated:12/09/2024
What 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.
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
How to Use Patched
Install Patchwork: Follow the instructions on the Patchwork GitHub repository (https://github.com/patched-codes/patchwork) to install the Patchwork CLI tool.
Set up API keys: Obtain API keys for the LLM service you want to use (e.g. OpenAI). You can get free API keys from Patched.
Choose a patchflow: Select a pre-built patchflow like GenerateREADME, PRReview, or DependencyUpgrade, or create your own custom patchflow.
Run the patchflow: Use the Patchwork CLI to run your chosen patchflow. For example: 'patchwork GenerateREADME' to generate a README file.
Configure options: Customize the patchflow behavior using configuration options like disable_branch, force_pr_creation, etc.
Integrate with your workflow: Set up Patchwork to run automatically as part of your development pipeline or CI/CD process.
Review and refine: Review the output of the patchflows and refine the configurations as needed for your specific use case.
Patched FAQs
Patchwork is a set of open-source python scripts and LLM prompts that can be run as part of your development pipeline to automate mundane tasks. It's designed for developers who want to automate day-to-day tasks using LLMs.
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Analytics of Patched Website
Patched Traffic & Rankings
6.5K
Monthly Visits
#3315618
Global Rank
-
Category Rank
Traffic Trends: Jun 2024-Aug 2024
Patched User Insights
00:01:07
Avg. Visit DTabsNavuration
2.03
Pages Per Visit
56.8%
User Bounce Rate
Top Regions of Patched
US: 68.3%
IN: 23.59%
DE: 5.08%
TR: 3.03%
Others: NAN%
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