{"slug": "show-hn-n3mo-better-roi-than-coderabbit", "title": "Show HN: N3MO better ROI than CodeRabbit", "summary": "N3MO, a code review automation tool, claims to provide better ROI than CodeRabbit by parsing repository ASTs and building a call graph to trace transitive blast radius of pull request changes. In a benchmark, N3MO indexed TensorFlow in 14.06 minutes, covering 14,611 files, 79,523 symbols, and 480,851 edges. The tool supports 27 languages via GitHub's Tree-sitter and integrates with AI agents through a native MCP server.", "body_md": "# Automated PR Review — Know What Breaks Before You Push\n\nN3MO is a code review automation tool that parses your repository's ASTs and builds a call graph to trace the transitive blast radius of any pull request change instantly.\n\n**Benchmark:** Indexed TensorFlow in 14.06 minutes (14,611 files, 79,523 symbols, 480,851 edges)\n\n**3**\n\n**8**\n\n## Powerful Features for Automated Code Review\n\nStop guessing what your pull requests will break. N3MO builds a relational knowledge graph of your codebase to empower engineering teams with precise impact analysis.\n\n```\nTransitive Blast Radius\n\nTraces call links recursively to arbitrary depth, showing you direct and indirect downstream\n                            impacts of any refactor or deletion. Find hidden dependencies that standard search tools\n                            miss.\n\nRoot: auth.py\nTransitive Depth: 5\nDB Resolution: Scope-Aware\n\nSELECT symbol, file_path FROM callers WHERE\n                                    target = 'db_pool';\n> Found 12 matching transitive callers across 4\n                                    service layers.\n```\n\n### 27 Languages*\n\nPowered by GitHub's Tree-sitter. We parse Python, TS/JS, Java, Go, Rust, C++, Ruby, PHP, and\nmore locally.\n\n*Tree-sitter parsing supported for\n27 languages. Deep semantic call graph mapping currently optimized for Python, JS/TS,\nand Java.\n\n### Native MCP Server\n\nIntegrate N3MO directly into Cursor, Claude Desktop, or Windsurf. Allow AI agents to trace structures without hallucinations.\n\n```\nGitHub Webhook\n\nEnforce codebase size-aware checkpoints on every Pull Request, posting a comprehensive impact\n                            markdown report directly to PR comments in under 2 seconds.\n\n github-actions bot\n                                commented on PR #124\n                            \n\n◈ N3MO Impact Check: PASSED\n                                • Modifying auth_user affects 3 downstream components.\n                                • Transitive blast radius: High Impact (8 caller nodes).\n```\n\n## Who is N3MO Built For?\n\nA concise breakdown of our ideal user profiles.\n\n### Staff Engineers\n\nArchitects managing large, legacy monoliths who need a reliable way to map sprawling dependencies before initiating major refactors.\n\n### Code Reviewers\n\nSenior developers acting as gatekeepers on PRs who want automated, mathematically-proven impact analysis instead of relying entirely on unit tests.\n\n### AI Code Agents\n\nAutonomous coding bots like Claude and Cursor that require a precise, deterministic knowledge graph to avoid hallucinating file structures.\n\n## How It Works: A Practical Scenario\n\nStep-by-step instructions on catching breaking changes.\n\n### Install the GitHub Webhook\n\nNavigate to your repository settings and grant N3MO read access to your source code. You don't need to configure CI/CD pipelines or write custom workflows.\n\n### Open a Pull Request\n\nA junior developer opens a PR modifying a seemingly isolated utility function, `format_date()`. Unbeknownst to them, this function is indirectly used by the core billing service.\n\n### Review the Impact Report\n\nWithin 2 seconds, N3MO intercepts the webhook, parses the entire AST, and posts a comment on the PR detailing the exact downstream services that depend on `format_date()`. You catch the breaking change before it hits production.\n\n## Native MCP Server Integration\n\nGive AI agents like Cursor and Claude deterministic structural context instead of random file chunks.\n\n### Claude Desktop\n\nAutomatically configure N3MO as an MCP tool for Claude to map blast radius before it writes code.\n\n``` bash\n$ cd /path/to/project\n$ n3mo mcp install\nCursor IDE\n\nAdd N3MO directly to Cursor settings to enable instant\n                            transitive impact queries during refactoring.\n\nGo to Settings -> Models -> MCP\nType: command\nCommand: n3mo mcp start\n```\n\n## Plans & Pricing\n\nScale N3MO's PR impact check capabilities dynamically to fit the size of your team's codebases.\n\n### No seat-based pricing. Ever.\n\nN3MO prices by repositories, not users, so your entire engineering team can collaborate without buying additional licenses. Each repository receives continuous indexing, dependency analysis, PR impact detection, and code intelligence. Start free with local MCP — upgrade only when you want automated PR checks across your team.\n\n### Standard Plan\n\nFor solo devs and small projects\n\n- Up to\n**1 repo** -\n**30,000** LOC per repo -\n**30,000*** max total LOC - Real-time PR Impact Analysis\n- Interactive Dependency Graph\n- Community support\n\n### Pro Plan\n\nFor small teams (2–5 devs)\n\nIncludes 15-Day Free Trial\n\n- Up to\n**3 repos** -\n**100,000** LOC per repo -\n**300,000*** max total LOC - Everything in Standard Plan\n- Multi-repo dashboard\n- Email & community support\n\n### Team Basic\n\nFor growing teams (6–20 devs)\n\n- Up to\n**5 repos** -\n**200,000** LOC per repo -\n**1,000,000*** max total LOC - Everything in Pro\n- Slack notifications & RBAC\n- Priority SLA support\n\n### Team Pro\n\nFor advanced engineering teams\n\n- Up to\n**7 repos** -\n**500,000** LOC per repo -\n**3,500,000*** max total LOC - Everything in Team Basic\n- Custom webhooks\n- Advanced Org RBAC\n\n### Enterprise\n\nFor large orgs (20+ devs)\n\n-\n**Unlimited** repos -\n**Unlimited** LOC - Everything in Team Pro\n- Self-hosted & Offline JWT\n- SSO/SAML & Audit logs\n- Dedicated Success Engineer\n\n**Fair use applies. Repository limits are intended for typical engineering teams. Extremely large\nmonorepos may count against your codebase quota. Contact us for larger\ndeployments.*\n\nWorks with\n\nSupports\n\n### Why repositories instead of seats?\n\n### Frequently Asked Questions\n\n#### What counts as a repository?\n\nAny GitHub repository that you connect to N3MO and actively analyze using our webhook integrations.\n\n#### Can I invite unlimited teammates?\n\nYes! Once a repository is indexed, anyone on your team can view PR impact reports and use the interactive graph without needing their own license.\n\n#### What is a monorepo?\n\nA single repository containing multiple distinct projects or services. Monorepo support on the Team plan ensures we index all nested dependencies properly.\n\n#### What happens if I exceed the limit?\n\nYou'll get a heads-up before any repo stops syncing, with a one-click upgrade — no PRs are ever silently blocked without warning.\n\n## Local CLI Reference\n\nN3MO is fully functional locally right from your terminal.\n\n### 1. Installation\n\nInstall the N3MO CLI package directly from PyPI.\n\n```\npip install n3mo\n```\n\n### 2. Setup Database & Crawler\n\nSpin up N3MO's PostgreSQL docker container and verify local variables in one command.\n\n```\nn3mo setup\n```\n\n### 3. Index the Workspace\n\nIndex AST structures and build the relational call links inside Postgres.\n\n```\nn3mo index\n```\n\n### 4. Run Impact Queries\n\nTrace the impact chain and launch the orbital interactive visualizer in your local browser.\n\n```\nn3mo impact \"symbol_name\" --graph\n```\n\n──────────────────────────────────────────────────\n\nTarget: authenticate_user\n\n──────────────────────────────────────────────────\n\n◉ Direct Callers (3 symbols)\n\n▸ login_endpoint api/auth.py:12\n\n▸ refresh_token api/token.py:23\n\n▸ validate_session middleware/auth.py:89\n\n◎ Ripple Effects (5 symbols)\n\n╰─▸ POST /login routes.py:67\n\n╰─▸ admin_login admin/views.py:34\n\n╰─▸ require_auth decorators.py:12\n\n╰─▸ dashboard_view views/dashboard.py:8\n\n╰─▸ settings_view views/settings.py:22\n\n──────────────────────────────────────────────────\n\nTotal impacted: 8 references │ depth ≤ 3\n\n## Privacy and Code Governance\n\nWe believe code should be analyzed where it lives. N3MO is designed from the ground up to respect security boundaries and data governance rules:\n\n##### Zero Stored Source Code\n\nFor SaaS users, N3MO analyzes code entirely in-memory on highly secure, ephemeral GitHub runners. We extract only the structural graph metadata, and the runner is instantly destroyed. We never store your raw source code.\n\n##### Zero-Trust Deployments\n\nEnterprise users run the N3MO CLI natively inside their own private, air-gapped CI/CD pipelines. In this mode, your code literally never leaves your Virtual Private Cloud (VPC).\n\n[N3MO Privacy Policy](https://github.com/RajX-dev/N3MO/blob/main/PRIVACY.md).", "url": "https://wpnews.pro/news/show-hn-n3mo-better-roi-than-coderabbit", "canonical_source": "https://www.n3mo.shop/", "published_at": "2026-08-03 04:35:30+00:00", "updated_at": "2026-08-03 04:52:36.472739+00:00", "lang": "en", "topics": ["developer-tools", "ai-tools", "artificial-intelligence"], "entities": ["N3MO", "CodeRabbit", "TensorFlow", "GitHub", "Tree-sitter", "Claude Desktop", "Cursor"], "alternates": {"html": "https://wpnews.pro/news/show-hn-n3mo-better-roi-than-coderabbit", "markdown": "https://wpnews.pro/news/show-hn-n3mo-better-roi-than-coderabbit.md", "text": "https://wpnews.pro/news/show-hn-n3mo-better-roi-than-coderabbit.txt", "jsonld": "https://wpnews.pro/news/show-hn-n3mo-better-roi-than-coderabbit.jsonld"}}