Problem solved

Development teams commonly use multiple AI code review bots to catch different issues, but the resulting flood of comments—many duplicate—creates significant noise in pull requests. Important warnings get buried, and developers waste time hunting through threads. Distill consolidates all bot comments into one summary, intelligently merges duplicates, and surfaces the most critical issues. Its commit review further catches problems that slip past CI, ensuring nothing is missed while restoring sanity to the code review process.

Use cases

• Consolidating comments from 2-4 AI bots (e.g., CodeRabbit, Copilot, Gemini) into one review on a PR to reduce noise.
• Automatically reviewing every pushed commit with an LLM to detect vulnerabilities, logic errors, or style issues that CI missed.
• Identifying conflicts when bots disagree on an issue and presenting both sides for developer decision.
• Generating repo-level reports to understand the volume and sources of bot comments and the potential noise reduction.
• Tracking commit-review findings as GitHub issues and check runs for systematic follow-up and team visibility.
• Using multi-provider failover to ensure commit reviews continue even if one AI provider experiences downtime.

Audience

• Developers
• Enterprise
• Startups

Pros

• Reduces PR noise by up to 68% by consolidating multiple bot comments.
• AI-powered semantic deduplication merges similar issues from different bots.
• Automatic bot detection without configuration.
• Commit review on every push catches issues that slip past CI.
• GitHub-native: findings sync as issues and check runs.

Cons

• Currently in beta; pricing after beta may be a barrier for some teams.
• Only supports GitHub; lacks GitLab/Bitbucket integration.
• Commit review requires user-provided API keys, adding additional cost and setup.