Show HN: I built a tool to assist AI agents to know when a PR is good to go (dsifry.github.io)

A developer unveiled "Good To Go," a tool designed to enhance AI agents in software development by determining when a pull request (PR) is ready to merge. While AI coding agents can write code and address review comments, they often struggle to discern when all necessary tasks are complete. Good To Go resolves this problem with a single command—`gtg 123`—which evaluates a PR's status across multiple dimensions, including CI check results and reviewer comments. Its straightforward output categorizes PRs as "READY," "ACTION_REQUIRED," "UNRESOLVED_THREADS," or "CI_FAILING," eliminating ambiguity and enabling efficient action. This innovation is significant for the AI/ML community, as it streamlines the development workflow and enhances the capabilities of AI coding agents. By providing actionable insights and tracking what has been addressed across sessions, Good To Go minimizes the back-and-forth typically needed to ascertain PR readiness. The tool integrates seamlessly into existing CI systems and can be set as a required status check, ensuring that only fully vetted PRs are merged. With its focus on supporting AI tooling, Good To Go stands to improve collaboration and productivity in software engineering, particularly in projects heavily reliant on AI assistance.