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Patched

Free

Improve your coding workflow with Patched, an AI-driven platform that automates code debugging, optimization, and error detection for developers.

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Inputs: codeOutputs: code, text
Starting Price
Free
Type
Saas
Company
Patched

About Patched

Patched is an open-source framework designed to automate IT and development workflows. It allows development teams to create custom AI workflows (patchflows) to automate tasks such as code reviews, documentation, and patching. These workflows can be self-hosted and integrated with preferred LLMs, ensuring privacy and control. Patched aims to reduce costs and improve SLAs by using agentic workflows to fix bugs, patch vulnerabilities, update documentation, and troubleshoot system issues.

How to Use

Users can try Patched by clicking the 'Get Started' button or following the instructions on the GitHub repository to use the Command Line Interface (CLI). They can use ready-to-go patchflows or create their own using available steps and prompts, or use the patchflow generator without writing code.

Key Features

  • Open-source workflow automation
  • Customizable AI workflows (patchflows)
  • Self-hosting with LLM integration for privacy
  • No-code, low-code, and all-code patchflow generation
  • Integration with Gitlab, GitHub, Jira, and more

Use Cases

  • Automate code reviews
  • Generate documentation
  • Patch vulnerabilities
  • Upgrade dependencies
  • Triage issues
  • Improve code quality
  • Fix bugs
  • Create tickets

FAQ

Is Patchwork free? Patched Discord Here is the Patched Discord: https://discord.com/invite/XDxA3mJyhE. For more Discord message, please click here(/discord/xdxa3mjyhe). Patched

Key Features

Open-source workflow automation
Customizable AI workflows (patchflows)
Self-hosting with LLM integration for privacy
No-code, low-code, and all-code patchflow generation
Integration with Gitlab, GitHub, Jira, and more

Pros & Cons

Pros
  • AI-powered automation saves development time
  • Appears to offer free access to core features
  • Helps catch errors early in the development cycle
  • Provides optimization recommendations to improve code quality
  • Open-source availability (via GitHub) enables community contributions
  • Integrates into existing developer workflow
Cons
  • Specific language support should be verified on the official site
  • Free tier likely has usage limits that may affect heavy users
  • AI-generated suggestions may not always be optimal or context-aware
  • Requires internet access for cloud-based processing
  • May not replace thorough manual testing and code review

Best For

Automate code reviewsGenerate documentationPatch vulnerabilitiesUpgrade dependenciesTriage issuesImprove code qualityFix bugsCreate tickets

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