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Tools💻 Code & DevelopmentInspect
Inspect

Inspect

Free

Entity-level Git code review using graph-based risk scoring, running locally.

By Tanmay Verma, Founder · Last verified 06 Jul 2026

0 views
Added 6d ago
69/100Monitor
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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.

Compared withvs Voyage Aivs Spider Cloudvs Temporal Ai

Is Inspect actually worth it?

Live

See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

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Editorial Verdict

Best for
Engineering teams with large, complex codebases needing to surface high-risk changesDevOps engineers embedding structural risk signals into CI pipelinesAI-assisted code review agents using MCP tools for entity-level triageSecurity-conscious teams that want local-only static analysis with optional LLM enrichment
Not ideal for
Teams that prefer a human-centric, conversation-driven code review UI (Inspect is CLI-only)Projects requiring deep code understanding without local setup (no hosted SaaS today)Teams that want a full-featured code review platform with dashboards and collaboration featuresNon-technical stakeholders who cannot use a CLI tool

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

What's new in Inspect

Checked 3 days ago

Across the latest 4 updates: 2 feature updates and 2 changelog entries.

ChangelogChangelog·3 days agoNewest

perf Parallel graph building, large codebase support

Parallel graph building enables support for large codebases (previously limited to small repos like sem, weave).

FeatureChangelog·3 days agoNewest

rewrite Graph-centric risk scoring

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%.

ChangelogChangelog·3 days agoNewest

bench Greptile benchmark: 83.5% HC recall

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.

FeatureChangelog·3 days agoNewest

feat MCP server, review verdict, markdown formatter

New inspect-mcp crate with 6 tools for agent-driven entity review. Adds ReviewVerdict (4 levels) and --format markdown across all commands.

What independent users actually report about Inspect

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).

16% positive84% critical
Recurring strengths
  • +Local execution with no API calls for core triage.
  • +Entity-level diff analysis highlights structurally risky changes.
  • +Graph-centric risk scoring based on dependents and blast radius.
  • +Supports 21 languages plus 5 data formats via tree-sitter.
  • +95% recall on planted bugs benchmark with zero LLM calls.
Recurring frustrations
  • −Very few direct user reviews or community discussions.
  • −App Store version has severe bugs and sync issues.
  • −No cloud version; requires local setup for CI pipelines.
  • −Core signal from dependency graph, not deep code understanding.
  • −Lack of integration with popular CI/CD platforms like GitHub Actions.
Patterns worth knowing
Tool name ambiguity causing irrelevant feedback on multiple platforms.
Seen on Hacker News, YouTube, Bluesky, Stack Overflow
App Store version has critical reliability issues (crashes, sync).
Seen on App Store
Positive interest in MCP inspection and visual testing on GitHub.
Seen on GitHub
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
  • • LLM review requires you to bring your own API key for Anthropic, OpenAI, or Ollama.

Viability Score

69/100
Monitor

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.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Entity-level diff analysis highlighting structurally risky changes
  • Graph-centric risk scoring based on dependents and blast radius
  • Change classification (text, syntax, functional) using ConGra taxonomy
  • Local execution with no LLM or API calls required for core triage
  • Optional LLM review via `inspect review` (Anthropic, OpenAI, Ollama, any OpenAI-compatible server)
  • Supports 21 programming languages plus 5 data formats via sem-core and tree-sitter
  • MCP server with 6 tools for AI-agent integration (inspect_triage, inspect_entity, etc.)
  • Parallel graph building for large codebase support (e.g., Sentry: 40s → 4s)
  • Supports Git diff, PR review, single file review, and repo-wide benchmark
  • Multiple output formats: terminal, JSON, markdown
  • No database required; stateless per commit
  • 95% recall on planted bugs benchmark (141 bugs, 52 PRs, 5 repos)
  • 83.5% high/critical recall on Greptile benchmark
  • Four-phase pipeline: Extract, Classify, Score, Group
  • Untangles tangled commits via Union-Find on dependency edges

About Inspect

FreeAdvancedAPI availableCLI

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

Behind the Verdict

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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Use Cases

  • Triage every pull request in CI by running inspect diff HEAD~1 and blocking merges on critical entities
  • Quickly identify which changed functions are used by many others before merging to production
  • Run inspect bench on your monorepo to measure how often risky changes slip through
  • Use the MCP server to give AI coding agents entity-level risk awareness during automated PR reviews
  • Combine inspect with a local LLM via Ollama for air-gapped code review without sending code to any cloud

Limitations

  • Inspect is a CLI tool with no web UI, so it's not for non-technical reviewers.
  • The LLM review feature requires an API key or local server setup, and the default limit is 10 entities per run.
  • Large codebases (100k+ entities) may take several seconds for full graph builds, though optimizations have reduced Sentry from 40s to ~4s.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Integrations

GitHubAnthropicOpenAIOllamavLLMLM Studiollama.cpp

Resources & Guides

  • Documentationinspect.ataraxy-labs.com

    Docs · Inspect

    Full product docs from inspect.ataraxy-labs.com

Frequently Asked Questions

Tools that pair well with Inspect

Common stack mates teams adopt alongside Inspect, with the specific reason each pairing earns its keep.

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Details

Pricing
Free
Skill Level
Advanced
Platforms
CLI
API Available
Yes
Content updated
3d ago
Pricing & overview verified
3d ago

Categories

💻 Code & Development⚙️ Developer Infrastructure

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AutomationAPICode Generation

Resources

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© 2026 RightAIChoice. All rights reserved.

Built for the AI community.