gtg 0.2.0

Deterministic PR readiness detection for AI coding agents

Good To Go

Deterministic PR readiness detection for AI coding agents

Good To Go helps AI agents (like Claude Code) know exactly when a PR is ready to merge. No guessing, no polling indefinitely, no missing comments.

The Problem

AI agents creating PRs face a common challenge: How do I know when I'm actually done?

• CI is still running... is it done yet?
• CodeRabbit left 12 comments... which ones need action?
• A reviewer requested changes... did I address them all?
• There are 3 unresolved threads... are they blocking?

Without deterministic answers, agents either wait too long, miss comments, or keep asking "is it ready yet?"

The Solution

Good To Go provides deterministic PR state analysis via a simple CLI:

gtg check owner/repo 123

Returns:

• Exit code 0: Ready to merge - good to go!
• Exit code 1: Action required (actionable comments need fixes)
• Exit code 2: Unresolved threads exist
• Exit code 3: CI failing
• Exit code 4: Error fetching data

Installation

pip install gtg

That's it. No other dependencies required.

Usage

Basic Check

# Check if PR #123 in myorg/myrepo is ready to merge
gtg check myorg/myrepo 123

# With JSON output for programmatic use
gtg check myorg/myrepo 123 --json

Authentication

Set your GitHub token:

export GITHUB_TOKEN=ghp_your_token_here

Or pass it directly:

gtg check myorg/myrepo 123 --token ghp_your_token_here

Exit Codes

Code	Status	Meaning
0	READY	All clear - good to go!
1	ACTION_REQUIRED	Actionable comments need fixes
2	UNRESOLVED	Unresolved review threads
3	CI_FAILING	CI/CD checks failing
4	ERROR	Error fetching PR data

JSON Output

gtg check myorg/myrepo 123 --json

Returns structured data including:

• CI status (passed/failed/pending checks)
• Thread summary (resolved/unresolved counts)
• Classified comments (actionable vs non-actionable)
• Action items list

Supported Automated Reviewers

Good To Go recognizes and classifies comments from:

• CodeRabbit - Critical/Major/Minor/Trivial severity
• Greptile - Actionable comment detection
• Claude Code - Must/should/error/bug patterns
• Cursor/Bugbot - Severity-based classification
• Generic - Fallback for unknown reviewers

For AI Agents

If you're an AI agent, use Good To Go in your PR workflow:

import subprocess
import json

result = subprocess.run(
    ["gtg", "check", "owner/repo", "123", "--json"],
    capture_output=True,
    text=True
)

if result.returncode == 0:
    print("Good to go! Ready to merge.")
elif result.returncode == 1:
    data = json.loads(result.stdout)
    print(f"Action required: {data['action_items']}")

Or use the Python API directly:

from goodtogo import PRAnalyzer, Container

container = Container.create_default(github_token="ghp_...")
analyzer = PRAnalyzer(container)

result = analyzer.analyze("owner", "repo", 123)
if result.status == "READY":
    print("Good to go!")
else:
    for item in result.action_items:
        print(f"- {item}")

Documentation

• USAGE.md - Detailed CLI usage and examples
• CONTRIBUTING.md - Development setup and contribution guide

License

MIT License - see LICENSE for details.

Credits

Created by David Sifry with Claude Code.

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Made with Claude Code