How to automate pull request creation from feature requests and bug reports using AI agents

How to automate pull request creation from feature requests and bug reports using AI agents

This task can be performed using Antfarm

Spin up specialized AI teams. One YAML, zero ops.

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Antfarm

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Antfarm lets you define specialized AI agent teams for OpenClaw in YAML and run deterministic, multi-step workflows from a single install. It turns feature requests, bug reports, and security scans into verified, tested pull requests with automatic retries and zero extra infrastructure.

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What to expect from an ideal product

  1. Define your AI agent teams in a simple YAML file that specifies which agents handle feature requests versus bug reports and what actions each team member takes
  2. Set up automated workflows that trigger when new issues are created, automatically analyzing the request type and routing it to the appropriate specialized AI team for processing
  3. Configure agents to read through feature requests and bug reports, understand the requirements, then generate the actual code changes needed to address each issue
  4. Use built-in testing and verification steps where AI agents run automated tests on their generated code before creating pull requests, ensuring quality output
  5. Enable automatic retry mechanisms so if an AI agent's first attempt fails testing or has issues, it learns from the feedback and tries again until producing working code

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