How to integrate AI agents with GitHub workflows to automatically generate pull requests from issue comments?

Integrate AI agents with GitHub workflows to automatically generate pull requests from issue comments using Repobird

This task can be performed using Repobird

Cloud-Based Software Engineering Agents

Best product for this task

Repobi

Repobird

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RepoBird provides cloud-based software engineering agents that execute tasks in parallel. Unlike local AI tools that require back-and-forth iterations and block your development environment, RepoBird agents work autonomously in the cloud with one-shot simplicity: prompt in, PR out. Scale to hundreds of parallel tasks with our CLI. RepoBird integrates seamlessly with GitHub, allowing developers to trigger AI agents directly from issue comments, PR, or through our web dashboard. Parallel cloud execution meets one-shot simplicity. Scale without limits.

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What to expect from an ideal product

  1. Set up GitHub webhooks to trigger RepoBird agents when developers add specific comments or labels to issues, enabling instant automation without manual intervention
  2. Configure cloud-based agents to analyze issue descriptions and automatically generate code changes, then submit pull requests with the implemented solutions
  3. Use RepoBird's one-shot execution model to eliminate the typical back-and-forth process, where agents complete entire tasks from issue comment to ready-to-review pull request
  4. Scale your development workflow by running multiple agents in parallel, handling dozens of issues simultaneously without blocking your local development environment
  5. Integrate RepoBird's CLI with existing CI/CD pipelines to automatically assign different types of issues to specialized agents based on labels, priorities, or project requirements

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