I built a tool to assist AI agents to know when a PR is good to go
I've been using Claude Code heavily, and kept hitting the same issue: the agent would push changes, respond to reviews, wait for CI... but never really know when it was done. It would poll CI in loops. Miss actionable comments buried among 15 CodeRabbit suggestions. Or declare victory while threads were still unresolved. The core problem: no deterministic way for an agent to know a PR is ready to merge. So I built gtg (Good To Go). One command, one answer: $ gtg 123 OK PR #123: READY CI: success (5/5 passed) Threads: 3/3 resolved It aggregates CI status, classifies review comments…
I built a tool to assist AI agents to know when a PR is good to go launched on January 17, 2026 with 45 votes, #570 of 14,584 launches that month and more than 95% of that year's launches.
In plain words
gtg (Good To Go) is a command-line tool that helps AI agents determine when a pull request is ready to merge. It aggregates CI status, classifies review comments to distinguish actionable feedback from noise, and tracks thread resolution. The tool returns results in JSON for programmatic use or human-readable text format. It understands comment severity markers from tools like CodeRabbit and recognizes blocking or approval language patterns. Built for developers using AI coding assistants, it solves the problem of agents getting stuck in polling loops or missing critical feedback among numerous automated suggestions.
written from the facts on this page · September 2026
From the sources
Deterministic PR readiness detection for AI coding agents
The missing piece in AI-assisted development: knowing when you’re actually done. AI coding agents are transforming software development. They can write code, fix bugs, respond to review comments, and create pull requests. But they all share one fundamental problem: Think about it. When you ask an AI agent to “fix the CI and address the review comments,” how does it know when it’s finished? Combines all GitHub check runs and commit statuses into a single pass/fail/pending state. Handles the complexity of multiple CI systems, required vs optional checks, and in-progress runs. Not all review comments are created equal. Good To Go classifies each comment as: Distinguishes between truly…from dsifry.github.io
In the maker’s words, at launch
I've been using Claude Code heavily, and kept hitting the same issue: the agent would push changes, respond to reviews, wait for CI... but never really know when it was done. It would poll CI in loops. Miss actionable comments buried among 15 CodeRabbit suggestions. Or declare victory while threads were still…
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