implement-issue

Automating GitHub issue implementation involves creating a feature branch, launching a devcontainer, and using an AI agent to write and test code. This Skill manages the full cycle from code generation to commit and pull request preparation autonomously.

To run a devcontainer for automated code generation, you need git, Docker, and the devcontainer CLI installed in your environment. These dependencies are required to launch the controlled Docker container and execute the AI agent commands.

Yes, you can use AI to automatically create feature branches and pull requests for bug fixes. The Skill creates a new branch based on the issue number and title, implements the changes using an AI agent, and prepares a pull request.

Devcontainer integration works with an AI coding agent by launching a pre-configured Docker development container that provides a controlled environment. The AI agent executes commands within this container to generate, test, and commit code changes safely.

Limitations of automating GitHub issue resolution include the strict dependency on git, Docker, and the devcontainer CLI for execution. Without these specific environment tools installed, the AI agent cannot launch the container or manage the code generation cycle.