ninthwave
Reduces code review bottlenecks and accelerates feature delivery by distributing coding work across parallel AI agents while maintaining human oversight thro…
Orchestration layer for parallel AI coding. Turns a plan into small work items (~200-400 lines of change each) via a /decompose command, runs multiple native AI coding sessions in parallel in isolated git worktrees, and coordinates implementation, CI, review, rebase, and merge into stacked, reviewable PRs. Works with Claude Code, OpenCode, Codex CLI, Kimi Code CLI, and Copilot CLI; installed via Homebrew, run with the nw command.
- Parallelize schema migration across 10+ related database models
- Generate test coverage for multiple unrelated modules simultaneously
- Split large feature implementation across independent code paths
Reduces code review bottlenecks and accelerates feature delivery by distributing coding work across parallel AI agents while maintaining human oversight through structured PR workflows.
Engineering teams managing large codebases seeking to speed up feature development without sacrificing code quality standards.
https://github.com/ninthwave-io/ninthwave
By ninthwave-io
How to Get It
brew install ninthwave-io/tap/ninthwave
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me parallelize schema migration across 10+ related database models
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Ninthwave items — Reddit · 3 pts
- Show HN: Orchestrating AI into reviewable PRs you can reason about — Hacker News · 2 pts
- Remembering the Future- Deluxe Edition(2011)[NASA][Ninthwave Media] — Reddit · 1 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Auto-assessment from April sweep — baseline scores pending hands-on review.
2026-04-18: Approved in April sweep: New and small but has a clear description and recent commits — worth tracking.
Things to check
- Merging parallel outputs requires careful conflict resolution; cross-cutting concerns (shared utilities, imports) may need manual cleanup. Best results when work can be cleanly decomposed into independent tasks.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.