The AI Code Review Platform

Software development as we know it has undeniably, irrevocably changed. With AI coding agents writing almost all of our code, a static-only code review tool is no longer relevant. To serve our customers (and now their coding agents also) better, DeepSource is evolving.

In this changelog, we outline all that's new and changing in DeepSource for you. Here's everything that's new.

Introducing, AI Review

Our all-new AI code review engine now runs alongside static analysis on every pull request. As a result, DeepSource now detects novel code quality and security issues using AI that go beyond what our static analyzers could find on their own. The static analysis results are remarkably better now, with far fewer false positives (thanks to AI filtering) and better descriptions.

AI Review is enabled by default for all new customers. If you're an existing customer, you can enable it by switching on the "Enable AI Agents" flag in Policies → AI on your dashboard. You can review how the pay-as-you-go billing works for AI Review in the docs.

Inline review comments on pull requests

In addition to per-analyzer checks on your pull requests, DeepSource now posts inline review comments for issues detected directly on the diffs. Each issue comes with a detailed explanation of the code quality problem or security vulnerability found along with its severity, making it easier for developers to understand and take action on the feedback without leaving the SCM's interface.

Inline review comments are supported on GitHub, GitLab, Bitbucket (Cloud and Data Center), and Azure DevOps Services. It's enabled by default for all new customers. If you're an existing customer, you can toggle it in each repository's Settings → Quality Gates.

PR Report Card

Code review is not only about catching bugs. It's a feedback loop that helps the creator of the pull request improve their code. True for human developers, now true for AI coding agents.

Each pull request now gets a report card with structured, second-order feedback on the code across five dimensions — Security, Reliability, Complexity, Hygiene, and Coverage. All of these dimensions put together, provide a comprehensive view of the code quality and security of the pull request. The grade (A through D) gives a overview of how "good" the code is, and the detailed feedback gives the developer or the AI coding agent pointers on what they could do better.

Pricing plans and entitlement changes

With all these substantial changes to DeepSource's platform, we're also making some substantial changes to our pricing plans and entitlements to serve our customers more sustainably:

• We're deprecating the Free plan, and replacing it with the new Open Source plan, which gives open-source organizations free access to our static analysis capabilities. If you're currently on our Free plan, your account will be migrated to the Open Source plan on March 23, 2026. If you'd like to continue using DeepSource for your private repositories, we recommend upgrading to the Team plan.
• We're deprecating the Starter plan, and won't be offering it to new customers. If you're a current customer on the Starter plan, nothing is changing for you and you can continue being on this plan for as long as you want to. However, we won't be offering AI Review on this plan, and we recommend migrating to the new Team plan if you wish to use everything new that DeepSource has to offer.
• We're migrating the Business plan to the new Team plan. If you're a current customer on the Business plan, nothing is changing for you, and you can migrate to the new plan from your dashboard to get access to AI Review without any changes to your cost. As part of the new plan, you'll also get $120/seat/year (or $10/seat/year if billed monthly) bundled AI Review credits included in your subscription.
• There are no changes to our Enterprise Cloud and Enterprise Server plans. If you'd like to use AI Review, you can reach out to your point of contact and we'll get you onboarded.
• Going forward, DeepSource will review only those pull requests which are created by a member of the team on DeepSource. For all other pull requests, the review will be skipped and the developer can request to join the team using the link in the pull request's comment left by DeepSource. Once they're added to the team, the pull request will be automatically reviewed.

If you have any questions about any of the billing changes, please reach out to support and we're happy to assist.

Fixes and Improvements

• You can now export code review results of a PR from the detail page on DeepSource. Look for the Copy as Markdown button. This makes it easier for you to share findings with your AI coding assistants by copy-pasting and asking them to fix everything in a pull request.
• The team's home view is now simpler, and features a section for you to view all recent pull requests reviewed by DeepSource.
• Performance: We've made several improvements to the entire dashboard, and you should notice that the initial loading when opening the dashboard is much snappier, with several performance improvements across the dashboard.
• API: New types are now available in our GraphQL API for retrieving AI issues, OSS vulnerabilities, and PR report card.

If you've made it this far, thank you for reading this! This is one of the biggest product releases our team has pulled off and it took a good few months for us to make sure we transition all our customers smoothly. If you run into any issues, please reach out to support, or give us feedback on @deepsource.