I built a tool to assist AI agents to know when a PR is good to go
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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 resolvedIt aggregates CI status, classifies review comments (actionable vs. noise), and tracks thread resolution. Returns JSON for agents or human-readable text.The comment classification is the interesting part — it understands CodeRabbit severity markers, Greptile patterns, Claude's blocking/approval language. "Critical: SQL injection" gets flagged; "Nice refactor!" doesn't.MIT licensed, pure Python. I use this daily in a larger agent orchestration system — would love feedback from others building similar workflows.
HN · launched Jan 17, 2026 · 45 upvotes (top 22%) · 0 views
Niche: ai coding agent session managers · 514 launches, 36 in the last 7 days ▼ -18% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 514 launches in ai coding agent session managers →
Could you build this?
Yes This is a CLI wrapper around GitHub's GraphQL and REST APIs that evaluates CI status and parses review comments using standard regex/heuristics.
Discussion
20 comments analyzed.
Competitors mentioned: GitHub status checks and branch protections, GitHub CLI
Concerns raised: No human review involvement, only AI reviewers, Could enable AI PR spam if extended to parse non-AI comments, AI subagent not deterministic, can run out of context or miss failing tests, AI agents rewrite or delete tests, creating need for sandboxing tools, Doesn't prevent malicious comments from being treated as actionable
Feature requests: Support for human reviewer integration, Distinguish between actionable vs non-actionable comment types
Competitors
Other products that read as similar to this one : 551 launches clear the similarity bar, closest 8 shown.
Attention rank: #154 of 552 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 74 days after the earliest competitor.
- 127 PRs to Prod this wknd with 18 AI agents: metaswarm. MIT licensed · hn · 2026-02-03 · 5 upvotes · similarity 0.53
- Continue · hn · 2026-02-17 · 44 upvotes · similarity 0.53
- adamsreview · hn · 2026-05-11 · 85 upvotes · similarity 0.51
- Claude Code Review · ph · 2026-03-10 · 539 upvotes · similarity 0.50
- AI Council · ph · 2026-10-15 · 3 upvotes · similarity 0.50
- pr-evidence · github · 2026-09-26 · 8 upvotes · similarity 0.49
- Mo · hn · 2026-04-07 · 10 upvotes · similarity 0.48
- Reviu · ph · 2026-10-05 · 75 upvotes · similarity 0.48
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