Review

Code review on your own machine, with your own AI

Developer ToolsArtificial IntelligenceGitHubOpen Source

▲ 62 votes1 commentsLaunched Oct 6, 2026

Daily #22Weekly #55

Free desktop app for reviewing Git branches and GitHub PRs. Comment on any line and keep comments private until you publish. Add AI reviewers with your own models: OpenAI, Anthropic, Gemini, OpenRouter or local via Ollama. Split the review across a team of models, see exactly which rules each one checked, and retry only what was missed. Open source (MIT), no account, for Mac, Windows and Linux.

AI Analysis

📝 Summary

Review is a free, open-source desktop app for conducting code reviews on Git branches and GitHub PRs locally. Core features include private inline comments (published only when ready), AI reviewers powered by user-chosen models from OpenAI, Anthropic, Gemini, OpenRouter or local Ollama, splitting reviews across a 'team' of models, visibility into each model's checked rules, and retrying only incomplete sections. It solves key pain points such as privacy risks of cloud-based code sharing, lack of control over AI models, opaque review processes, and dependency on paid SaaS tools. The value proposition is a private, customizable, no-account AI code review experience that runs on your machine (Mac, Windows, Linux) under MIT license.

📈 Market Timing

In 2025-2026, market timing is highly favorable due to maturing local LLM ecosystems (e.g. Ollama), rising concerns over data privacy and AI sovereignty, increased adoption of AI in developer workflows, and demand for cost-effective alternatives to cloud SaaS. Trends favor local-first tools amid regulatory scrutiny on cloud AI and economic pressures on subscriptions. Excellent Timing.

✅ Feasibility

High feasibility. Technical difficulty is manageable using established frameworks for cross-platform desktop apps, existing Git/GitHub APIs, and AI provider integrations. Development and operation costs are low as it's open-source with no servers needed (local execution). Minimal supply chain or compliance risks for a dev tool; high scalability for individual and team use. Strong potential for community contributions under MIT license.

🎯 Target Market

Main targets: Individual software developers, engineering teams in startups and mid-size tech firms, open-source contributors. Demographics: Tech professionals aged 25-45, primarily male but diversifying. Industries: Software development, web/mobile apps, AI/ML. Geographic: Global, with high adoption in North America, Europe, and Asia (China, India). TAM for AI dev tools ~$15B by 2026; SAM for code review AI ~$1B; SOM for local/open-source niche ~$50-100M. Core pains: Manual review fatigue, cloud privacy risks, high SaaS costs. High willingness to pay for premium models/support despite core being free.

⚔️ Competition

Medium. Direct competitors: 1. CodeRabbit (coderabbit.ai) - cloud AI PR reviews; 2. CodiumAI PR-Agent (github.com/Codium-ai/pr-agent) - AI agent for PRs; 3. Sweep AI (sweep.dev) - AI-powered coding assistant; 4. GitHub Copilot Workspace (github.com/features/copilot). Advantages: Fully local/privacy-first, supports any model including offline Ollama, transparent multi-model rule tracking, completely free/open-source (no subscriptions). Disadvantages: Requires local setup/hardware for Ollama, potentially less integrated for large distributed teams than cloud platforms. Strong differentiation in privacy and customization.

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