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Qodo

AI code review and context-aware suggestions across the IDE, pull requests and Git workflows (formerly CodiumAI).

Starting price
Pro Team $30 / month
Free trial
14-day free trial, no credit card
Commercial use
Yes
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Overview

Qodo, formerly CodiumAI, is an AI code review and governance platform for engineering teams. A Context Engine indexes each connected repository and a Review Engine uses that standing picture to judge a change against the whole system instead of the diff alone, including cross-repository analysis that surfaces breaking changes before a merge. Its Rule Miner reads past pull requests to work out the standards a team already applies and turns them into rules every later review enforces. Qodo has deliberately deprecated its code generation features and now covers review only.

Our take

Qodo is built for teams where AI already writes much of the code and the bottleneck has moved to reviewing it, so what it sells is consistency across hundreds of pull requests rather than help typing the next line. Anyone shopping for a coding assistant should look elsewhere: the generative side was retired on purpose, not left to rot. Budgeting takes a little homework, because the bill follows review activity rather than headcount, so model a normal month of your own pull requests before committing. Where it stands apart is in regulated engineering organisations, since very few review tools of this kind can be installed behind the firewall at all.

Key Facts

Category
Starting price Pro Team $30 / month Credit-based at $0.012 per credit, with credit packs; up to 30 users. Enterprise is custom.
Free trial 14-day free trial, no credit card
Commercial use Yes
Output AI code review and context-aware suggestions in the IDE, PRs and CLI
API No public developer API; the Agentic Toolbox exposes Qodo to coding agents

Screenshots

Placeholders. They are replaced as soon as the vendor sends material, and both open the same short form.

Features

Where it runs
IDE plugins for VS Code, JetBrains IDEs and Visual Studio, plus pull requests, CLI and Git workflows
Inline completions
No, autocomplete and chat-based code generation have been deprecated; the IDE plugin reviews local changes instead
Agent mode
Yes, agentic pull-request code review with multi-repository context
Model choice
Enterprise can bring its own model: OpenAI, Anthropic, Azure OpenAI or self-hosted
Data control
Bring-your-own-model and self-hosted options on Enterprise
Ecosystem fit
GitHub, GitLab, Bitbucket and Azure DevOps
API
No public REST API or SDK is documented. Programmatic use runs through the Agentic Toolbox, which exposes Qodo's codebase context, standards and review to coding agents and to a local CLI, with API keys issued from account settings

Integrations

  • GitHub
  • GitLab
  • Bitbucket
  • Azure DevOps
  • Visual Studio Code
  • JetBrains IDEs
  • Visual Studio

Deployment and Support

Deployment
  • Cloud (SaaS)
  • Browser-based
  • On-premise
Onboarding
  • Documentation and knowledge base
Company size
  • Small and mid-sized
  • Enterprise

Suitability

Industry FreelancersSmall and mid-sizedEnterprise
Agencies Not stated Not stated Not stated
Architecture & Engineering Not stated Not stated Not stated
Consulting Not stated Not stated Not stated
Media & Creative Not stated Not stated Not stated
Technology Not stated Stated as a fit Stated as a fit

The table combines the industries the vendor addresses with the company sizes the tool is aimed at. An empty cell means the combination is not stated, not that it is ruled out.

Pros and Cons

Strengths

  • Automated, context-aware code review in the IDE and pull requests
  • Bring-your-own-model and self-hosted options on Enterprise
  • Broad Git platform coverage across GitHub, GitLab, Bitbucket and Azure DevOps

Limitations

  • Credit-based pricing can be harder to predict
  • Focused on review and quality more than full IDE autocomplete

Pricing

  • Trial

    $0

    14 days, no credit card. Unlimited reviews and credits.

  • Pro Team

    $30

    Per month, up to 30 users, billed monthly with no annual commitment. Credit-based at $0.012 per credit, pooled across the team, in packs of roughly 2,500, 5,000 or 20,000. Credits do not roll over; overage is charged at the same rate up to a cap you set.

  • Enterprise

    Custom

    For 30+ users. Priority support and a dedicated customer success manager.

Best For

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What users say

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