
Entity-level Git code review using graph-based risk scoring, running locally.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Inspect — Entity-level Git code review using graph-based risk scoring, running locally. Best for Engineering teams with large, complex codebases needing to surface high-risk changes, DevOps engineers embedding structural risk signals into CI pipelines, AI-assisted code review agents using MCP tools for entity-level triage. Free to use.
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Inspect is a no-compromise, locally-run code review tool that prioritizes speed and precision through graph analysis. Its zero-cost core is unmatched for CI integration, and optional LLM review adds depth without lock-in. If your engineering team wrestles with noisy PRs in large codebases, this is by far the sharpest tool available.
Compare with: Inspect vs Pieces for Developers, Inspect vs OpenHands, Inspect vs Draftbit
Last verified: July 2026
Across the latest 4 updates: 2 feature updates and 2 changelog entries.
Parallel graph building enables support for large codebases (previously limited to small repos like sem, weave).
Risk scoring now uses dependents and blast radius as primary signals. AACR-Bench HC recall jumps from ~30% to 48%; HCM recall at 78.2%.
Inspect scores 83.5% high/critical recall on Greptile benchmark (50 PRs, 5 repos), beating Augment, Greptile, CodeRabbit, Cursor, Copilot. Runs locally in milliseconds, no LLM.
New inspect-mcp crate with 6 tools for agent-driven entity review. Adds ReviewVerdict (4 levels) and --format markdown across all commands.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
124 mentions across 8 sources (Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy).
How likely is Inspect to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Inspect is an open-source CLI tool for Git that surfaces structurally risky code changes in milliseconds. It analyzes each function, class, or method in a diff, scores risk based on the dependency graph—dependents and blast radius—and outputs a prioritized list of entities needing human attention. Built by Ataraxy Labs, Inspect runs entirely local: no API keys, no database, no network calls for core triage. It supports 21 programming languages plus 5 data formats via tree-sitter and sem-core. Key features include entity-level diff analysis with graph-centric risk scoring, change classification using the ConGra taxonomy (text, syntax, functional), and tangled-commit untangling via Union-Find on dependency edges. An optional LLM review mode (inspect review) works with Anthropic, OpenAI, Ollama, or any OpenAI-compatible server, sending only critical entities for deeper analysis. The tool also offers an MCP server with 6 tools for AI-agent integration (inspect_triage, inspect_entity, etc.), and outputs in terminal, JSON, or markdown formats. Performance is a highlight: Inspect achieves 95% recall on planted bugs and 83.5% high/critical recall on the Greptile benchmark—beating competitors like Augment, Greptile, CodeRabbit, Cursor, and Copilot—all with zero API calls and millisecond-per-commit speeds. A recent rewrite prioritized graph signals over classification, reducing false positives by half. The four-phase pipeline (Extract, Classify, Score, Group) processes large codebases efficiently, with parallel graph building cutting Sentry's analysis from 40s to 4s. Compared to LLM-first tools such as CodeRabbit or Greptile, Inspect's core signal is structural rather than semantic—ideal for teams that want deterministic, fast, local triage without recurring API costs. It excels in CI pipelines where every millisecond counts and where developers need immediate, trustworthy risk signals. For teams that prefer a hosted UI or conversational review flow, Inspect's CLI-only
When would you pick Inspect? If your team deals with large, complex codebases and PR noise, Inspect gives you a fast, deterministic signal on what truly needs a human eye. It's a natural fit for CI pipelines—just pipe `inspect diff` into your workflow and you'll surface risky changes in milliseconds, not minutes. The optional LLM review is a nice touch: send only the critical entities to an LLM for deeper analysis, keeping costs low and results fast. When would you pass? If your team prefers a collaborative, UI-driven code review platform with dashboards, inline comments, and async discussions, Inspect's CLI-only interface will feel limiting. It's also not for teams that want a fully automated, AI-written code review summary. Inspect's verdict is focused and minimal—you get a risk rating and entity list, not a conversational summary. How does it compare to CodeRabbit or Greptile? The big difference is architectural philosophy. CodeRabbit leans heavily on LLMs for reasoning about changes; Inspect uses the dependency graph as its primary signal, achieving comparable accuracy (83.5% HC recall vs CodeRabbit's 56%) without API calls. For cost-conscious teams, Inspect's core analysis is free and local. Greptile offers a hosted service with deeper repo context, but Inspect's local execution means no data leaves your machine—a security advantage. Real-world caveats: Inspect is a CLI-first tool—there's no hosted SaaS, no browser dashboard, and no mobile app. Onboarding requires installing Brew or Cargo, which may be a barrier for less technical team members. The MCP server integration is powerful but still maturing; AI agent workflows using inspect_triage require configuring the server. Benchmark results (95% recall, 83.5% HC) are impressive, but they reflect specific test
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Common stack mates teams adopt alongside Inspect, with the specific reason each pairing earns its keep.
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