QodoAI is an AI-powered code intelligence platform rebranded from CodiumAI in 2024. It integrates multiple AI agents across the software development lifecycle to help developers produce higher-quality, more secure code with advanced automation and deep codebase understanding.

What are the key components of QodoAI?

The key components of QodoAI include Qodo Aware, which is the core code intelligence engine that indexes your entire codebase across multiple repositories and understands the architecture to enable advanced reasoning about code, dependencies, and system behavior. Another component is Qodo Gen, an AI coding assistant integrated inside IDEs like VS Code and JetBrains that helps generate code, fix bugs, write tests, and explain or improve parts of your codebase. Qodo Merge is an AI agent that reviews pull requests with inline feedback, flags issues, checks compliance, and automates PR summaries to aid human reviewers without replacing them. Lastly, Qodo Command allows scripting, scheduling, and automating custom AI workflows from the terminal or CI/CD pipelines, offering flexible developer automation.

What can Qodo Aware do?

Qodo Aware can index all your repositories to create a deep structural and semantic map. It can provide context-aware answers to questions regarding function usage, impact analysis for changes, tracing session management end-to-end, or service dependencies. Additionally, it can conduct multi-agent reasoning on dependencies, intent, and tradeoffs like a senior engineer, and support large-scale system-level analysis beyond simple code search.

What are some common example questions for Qodo Aware?

Common example questions for Qodo Aware include: "Where is this function used across our repos?", "If I change this API response format, what breaks?", "How does session management work end-to-end?", and "What services call this shared utility?"

What are key features of Qodo Gen?

Key features of Qodo Gen include AI-powered code generation and improvement suggestions. It can generate or improve docstrings and unit tests, and simplify onboarding by explaining complex code parts. Additionally, it allows free-text querying about code with contextual awareness based on the current file or selected components.

Does Qodo Merge replace human reviewers?

No. Qodo Merge assists human code reviewers by automating reviews and surfacing issues but is intended as an aid, not a replacement.

What are the security and deployment options?

QodoAI offers enterprise-grade security with options for SaaS, on-premises, VPC, or fully air-gapped deployment. It is SOC 2 Type II audited with strict data retention and auto-purging policies.

What are the pricing and plan options?

Qodo offers a generous free tier with basic features, while advanced enterprise features require custom pricing.

What are the additional capabilities?

Additional capabilities include agentic coding, where the AI breaks down prompts into plans and executes them. It also features iterative test generation for comprehensive coverage of happy paths and edge cases, along with API and embedding models to build internal bots or analytics atop the code graph.

QodoAI

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Qodo is an AI platform that helps software development teams improve their code quality and speed. It uses artificial intelligence to review code directly in your development tools, checking for errors, making sure rules are followed, and suggesting fixes. This allows teams to ship better, more reliable code quickly and consistently.

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Overview Features Use Cases FAQ Integrations Pricing

About QodoAI

Who It's For

Qodo helps engineering teams, especially large ones with many code projects. It ensures all developers, from new to experienced, maintain high code quality and work faster.

What You Get

You get an AI that reviews your code as you write and before merging. It finds bugs, suggests fixes, and enforces security and quality rules. This means cleaner code, fewer issues, and faster reviews.

How It Works

Qodo's AI understands your entire codebase, even across many projects. It works inside your development tools, like your code editor. The AI automatically checks code, offers smart feedback, and helps resolve problems early.

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Features & Capabilities

⚙️ Core AI Review Functionality

Agentic Code Suggestions

Qodo provides context-aware code suggestions to detect critical issues, logic gaps, and enforce standards.

Real-time Local Code Review

Offers built-in review intelligence for your IDE with guided changes and instant resolution while you code.

Automated Issue Resolution

Fixes issues at the source with precise, automated resolutions and verified code updates before commit.

AI Pull Request Pre-checks

Automatically scans pull requests for bugs, logic gaps, and security issues, summarizing important findings for human reviewers.

🛡️ Code Quality & Governance

Automated Compliance Enforcement

Validates pull requests against enterprise security policies and enforces organization-specific compliance rules automatically.

Configurable Coding Standards

Allows encoding and automated enforcement of custom coding standards, architecture guidelines, and compliance rules across teams.

Continuous Quality Assurance

Ensures consistent code quality by continuously enforcing coding, security, and compliance policies across the SDLC.

🧠 Advanced Codebase Understanding

Multi-Repository Context Engine

Provides deep intelligence by understanding connections, dependencies, and impacts across dozens or thousands of repositories.

Enterprise-Scale Code Search

Leverages state-of-the-art context engineering for advanced agentic code search and retrieval at enterprise scale.

SDLC-Wide Review Layer

Acts as a dedicated AI code review layer across the entire SDLC, from IDE to pull requests and CLI.

🤝 Seamless Workflow Integration

Broad Development Environment Integration

Integrates automated code review into IDEs, GitHub, GitLab, and CLI workflows.

Scalable Agentic Workflows

Offers 15+ specialized review agents to automate tasks like bug detection, test coverage checks, and documentation updates.

AI Model Compatibility

Designed to work with any AI model, allowing integration with existing tools and preferred AI setups.

Use Cases

Real-time Code Quality and Improvement for Developers

Developers often struggle to ensure high code quality, write comprehensive tests, and adhere to coding standards while coding, especially in complex projects. Qodo integrates directly into the IDE, providing real-time AI-powered suggestions, bug detection, test generation, and code explanations, enabling developers to produce cleaner, more compliant code from the start.

Software DevelopmentFor: Software Developers

Streamlining and Automating Pull Request Reviews

Engineering teams face bottlenecks with slow and inconsistent pull request reviews, leading to backlogs and potential quality issues. Qodo automates the initial review process by scanning PRs for bugs, logic gaps, security concerns, and compliance issues, providing high-signal feedback and suggested fixes directly within the Git workflow, significantly accelerating the review cycle and reducing manual effort for human reviewers.

Software DevelopmentFor: Software Development Teams

Enterprise Code Governance and Compliance Enforcement

Large engineering organizations need to maintain consistent code quality, adhere to security policies, and enforce compliance rules across a multitude of repositories and development teams. Qodo's platform provides a centralized mechanism to define and automatically apply these standards throughout the SDLC, catching non-compliant changes early in the IDE or during pull requests, thereby ensuring enterprise-grade governance and reducing risks.

Enterprise ITFor: Engineering Leadership

Advanced Codebase Understanding and Cross-Repo Impact Analysis

In complex, multi-repository environments, understanding dependencies, tracing system behavior, and accurately assessing the impact of code changes is a major hurdle. Qodo's advanced context engine (Qodo Aware) indexes entire codebases to provide deep structural and semantic understanding, allowing engineers to ask complex questions, perform impact analysis, and reason about system behavior across dozens or thousands of repositories, facilitating safer and more informed development decisions.

Enterprise ITFor: Senior Engineers

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