Qodo AI Code Review Platform is an AI-driven code review system designed to integrate quality checks across the software development lifecycle (SDLC). It operates through specialized review agents that share context and work across multiple environments and interfaces. Key components of the platform: - Qodo Git: Integrates with pull requests to deliver automated reviews with organizational and historical context, surfacing issues and enforcing standards across teams. - Qodo IDE: An IDE plugin that performs real-time, local code analysis to detect logic errors, security risks, and non-compliant changes before code reaches a repository. - Qodo CLI: A command-line tool for building and deploying custom quality agents to automate review tasks across environments, tools, systems, and repositories. - Qodo Context Engine: Indexes and understands multi-repository codebases, enabling agents to detect issues that span components, services, and repositories. - Qodo Rules System: Allows organizations to define, enforce, and maintain quality, security, and compliance rules so every code change meets organizational standards. Platform capabilities include: - 15+ automated pull request workflows with explainable feedback - Continuous learning from pull request comments, accepted suggestions, and team best practices - Detection of security risks, logic errors, and compliance violations - Centralized rule management for enforcing coding and security standards - Support for enterprise-scale, multi-repo codebases The platform targets enterprise development teams and is available as a commercial product with an open-source tier for open-source projects.