CodiumAI

High-precision review on every change

Specialized review agents reason over full codebase context to flag real bugs, rule violations, and requirements gaps with less noise. Context-aware PR review runs on every pull request, surfacing critical issues and logic gaps.

Accelerate reviews with accurate, actionable insights and reduce noise.

Deterministic, enforceable standards

Self-learning rules turn organizational knowledge into machine-readable standards every developer, reviewer, and AI agent can follow. Rules are automatically discovered from your codebase and PR history, and their effectiveness is measured continuously.

Consistent, measurable standards that adapt as your code and teams change.

Centralized visibility into code quality

Track critical findings, resolution rates, and open issues across every repo and pull request in one view. Risk intelligence, audit trails, and repo relationship mapping provide a system of record for code quality decisions.

Full traceability and insight into risk and quality history across teams.

State-of-the-art context engineering

Purpose-built for agentic code review, Qodo's context engine pulls from rules, codebase structure, PR history, and business requirements to provide a continuous, multi-dimensional understanding of complex coding environments.

Deep, relevant context for every review, improving accuracy and reducing false positives.

Shift-left review skills

Review skills run inside the developer's agent, surfacing rules, findings, and fixes earlier in the lifecycle. Local review workflows let developers resolve issues in context without leaving the editor.

Catch potential gaps before they become significant and ship faster.

Git + IDE integrations

Qodo integrates with Git and IDE environments, enabling context-aware PR review, local review workflows, and pre-PR review skills. Enterprise plans add Gerrit support and custom agentic workflows.

Seamless review across the SDLC, wherever developers and agents work.

• High-precision, context-aware code reviewQodo provides agentic PR review that reasons over full codebase context, flagging real bugs, rule violations, and requirement gaps with less noise. It also offers shift-left review skills that run inside the developer's agent, and local review workflows in the IDE.
• Deterministic, enforceable rules systemQodo's self-learning rules turn organizational knowledge into machine-readable standards. Rules are automatically discovered from your codebase and PR history, and their effectiveness is continuously measured, with conflicts and decay surfaced before they erode trust.
• Centralized governance and visibilityQodo provides a single portal for visibility, control, and audit across every repo, team, and AI tool. It includes risk intelligence, audit trails, repo relationship mapping, and a system of record for findings and decisions.
• State-of-the-art context engineeringQodo's context engine pulls from multiple sources—rules, codebase, PR history, and business requirements—to provide a continuous, multi-dimensional understanding of complex coding environments. This is used by NVIDIA, as highlighted in their case study.

• Pricing model based on creditsQodo uses a credit-based pricing model ($0.012/credit, pooled across the team). Reviews draw credits from a monthly pool, and usage is metered. There are no rate limits on the Pro Team plan, but you need to manage credit consumption.
• Plan limitationsThe Pro Team plan (up to 30 users) does not include advanced self-learning, custom agentic workflows, Gerrit support, advanced analytics, SSO/SAML, audit logs, BYOK, single-tenant SaaS, on-prem/air-gapped deployment, priority support/SLA, dedicated CSM, or annual contracts/negotiated pricing. These are only available in Enterprise plans.
• Enterprise features require custom planFor 30+ users, you need a custom Enterprise plan. Enterprise includes everything in Pro Team plus SSO/SAML, audit logs, advanced self-learning, BYOK, single-tenant SaaS or on-prem, priority support, and dedicated CSM. You must book a demo to get pricing.
• No annual commitment on Pro Team, but Enterprise is annualThe Pro Team plan offers monthly billing with no annual commitment, but Enterprise plans require annual contracts and negotiated pricing. Also, Enterprise includes MSA/DPA agreements.

Standardize Code Quality Across Teams

Qodo's Living Rules System lets engineering teams define, edit, and enforce coding standards in one place. Rules are self-learned from patterns, conventions, and architectural decisions in your codebase and PR history, turning tribal knowledge into deterministic, machine-readable standards that every developer, reviewer, and AI agent follows.

High-Precision PR Review with Full Context

Qodo runs specialized review agents on every pull request, surfacing real bugs, rule violations, and requirement gaps with full codebase context. It detects breaking changes, dependency conflicts, and repo relationships, so reviewers see the system, not just the diff, and can focus on accurate, actionable insights.

Shift-Left Review Inside Developer Agents

Qodo provides review skills that run inside the developer's agent, surfacing rules, findings, and fixes earlier in the lifecycle. Developers can resolve issues in context—fixing flagged code, validating changes, and shipping faster without leaving the editor.

Govern AI-Generated Code at Scale

Qodo acts as a quality counterpart to coding agents, making review, organizational context, and rules available wherever agents work. It provides centralized visibility into risk, resolution rates, and quality history across every repo and team, building a system of record for code quality in the agent era.

Sign up for a CodiumAI account on their official website.

Choose the appropriate pricing plan that suits your business needs.

Integrate CodiumAI with your preferred IDE or development environment.

Start using CodiumAI's features, such as automated code analysis and unit test generation, to improve your code quality and reduce manual testing time.