Description
LiveReview is a comprehensive, risk-aware AI code review harness built for business-critical systems. It integrates advanced risk scoring, review-priority ranking, and a detailed 10-category risk taxonomy, ensuring these standards are applied to every commit. The platform is highly flexible, supporting both self-hosted and air-gapped deployments to meet diverse security and infrastructure requirements.
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The core functionality of LiveReview revolves around its unique risk scoring mechanism. It assigns two scores to each code hunk: a "Risk Score" that measures how far a change can impact the codebase (blast radius, database writes, cross-codebase calls) and a "Review Priority" score that assesses the scrutiny a change warrants based on complexity, subtlety, nested logic, and test coverage. These scores are combined to rank every hunk within a diff, allowing teams to prioritize reviews effectively. This approach enables safe auto-approval of up to 50% of pull requests, freeing human reviewers to focus on high-risk changes.
LiveReview offers a suite of features designed to enhance code quality and engineering efficiency. It helps prevent outages, breaches, and technical debt by enforcing standards on all code, including AI-generated code. Key capabilities include sharp AI-generated pull request summaries, the ability to ask AI for clarification or debate code changes, and customizable review prompts. The platform also provides an Impact Report with 57 charts for tracking engineering excellence, offering insights for executives, engineering managers, product teams, and individual engineers.
Integration is seamless, with support for various git providers like GitHub, GitLab, Bitbucket, Gitea, and Azure DevOps. It offers two CLI tools, `git-lrc` for pre-commit reviews and `claude-lrc`, along with full API access and IDE extensions for VSCode, Cursor, and Antigravity. LiveReview's architecture is designed for control and cost-efficiency, featuring source-available code and flexible deployment options, including a self-hosted enterprise plan for maximum data privacy and security. The platform's pricing is workload-based, charging by reviewed lines of code (LOC) rather than headcount, making costs predictable and scalable.
- CategoryAI Code Review & Testing
- Pricing ModelFreemium
- DeploymentCloud, Self-Hosted, Air-Gapped
- PlatformsWeb
LiveReview's Core Features
Risk-Aware AI Code Review
Auto-Approve Safe Pull Requests (up to 50%)
Review-Priority Ranking per Diff
10-Category Risk Taxonomy (Security, Correctness, Performance, etc.)
Enforcement on Every Commit
Self-Hosted and Air-Gapped Deployment Options
Learns from Production Incidents and Reverts
Policy Simulation on Past Pull Requests
Per-Repository or Per-Path Approval Rules
Approval Decision Explained on PR
Sharp AI-Generated Pull Request Summaries
Interactive AI Chat for Code Clarification/Debate
Customizable Review Prompts
Impact Report with Engineering Metrics
Integration with GitHub, GitLab, Bitbucket, Gitea, Azure DevOps
How to use LiveReview?
Install CLI: Use `git-lrc` for local pre-commit reviews or `claude-lrc` for AI-driven insights.
Connect Git Provider: Integrate with GitHub, GitLab, Bitbucket, Gitea, or Azure DevOps via one-click app or API.
Define Policies: Set up repository rules and CI/CD gates to enforce engineering standards and risk policies.
Review Code: LiveReview automatically reviews commits and pull requests, providing risk scores and feedback.
Interact with AI: Ask the AI for clarifications or debate code changes directly within pull request threads.
Monitor Performance: Utilize the Impact Report and dashboard to track engineering excellence and review outcomes.
Customize AI: Bring your own AI keys or connect private LLMs on your infrastructure for tailored reviews.
LiveReview's Use Cases
- Automated Code Review
- Risk Prioritization
- Enforcing Engineering Standards
- AI-Generated Code Validation
- Preventing Production Incidents
- Reducing Review Costs
- Developer Workflow Integration
- Organizational Code Quality Auditing
- Secure Code Handling
- Custom AI Model Usage
