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Open source AI code review on GitLab, Azure Repos, Bitbucket DC

If your forge is GitLab Self-Managed, Azure Repos, or Bitbucket Data Center, there are two open source AI code review projects that will run inside infrastructure you control: PR-Agent and Kodus. Everything else with a self-hosted option is a commercial product attached to a contract and a seat floor, which is a different kind of purchase. Both of them review pull requests on all three forges,…

GitLab Self-Managed, Azure Repos, and Bitbucket Data Center each offer two open source AI code review projects that operate within your controlled infrastructure: PR-Agent and Kodus. Commercial products often come with contracts and seat minimums, which distinguishes them from these open source options. Both PR-Agent and Kodus can review pull requests across all three forges, point the model layer at your existing provider, and function offline if you host the model.

The key differences between them lie in their licenses and which features remain available on each provider.

PR-Agent is released under the MIT license, held by the project itself, not a vendor. The README clearly states that this is a community-owned project, separate from Qodo's commercial offering. The supported platforms matrix is crucial, as it outlines where features differ per provider instead of claiming uniform support. The matrix helps you determine the license's limitations and the tool's capabilities on your chosen forge.

Kodus operates under a split license, with filenames containing ".ee." and files under the "ee/" directory falling under the Kodus Enterprise Code License, while the rest of the source is AGPL-3.0. This distinction is vital when choosing a tool for self-managed deployment, as it affects your ability to modify the code and use Enterprise-only features.

Kodus offers Community and Enterprise plans, with the former allowing up to 10 Kody Rules and 3 active plugins, while the latter starts at $10 per active developer per month. The self-hosting floor for Kodus is a Docker container on a VM with at least 2 CPU cores, 8 GB of RAM, and 60 GB of free disk.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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