If you’re here, you’re probably deciding which AI code reviewer will scrutinize every pull request your team ships. Below is a direct, in-depth comparison of Kodus and Cursor’s BugBot, focused on the things that matter most: breadth of issue detection, rule flexibility, integrations, quality metrics, and deployment model.
Ultra-custom rules (Kodus) – Write policies in natural language and scope them by repository, folder, file or even individual PR.
MCP & external context (Kodus) – Surface CI results, Jira/Linear tickets, Notion pages, or even test run outputs inside the same review comment.
Cursor IDE integration (BugBot) – BugBot integrates with the Cursor AI editor, offering a “Fix in Cursor” button on each issue.
Cockpit + Kody Issues (Kodus) – Kodus provides a metrics dashboard and an automatic backlog of unresolved suggestions.
Supported Platforms
Github / Gitlab / Bitbucket / AZdevops
Github
AI-powered code summaries
In-line comments
Chat with PR bot
Rules per repo / folder / file / PR
(limited)
External context (MCP & Plugins)
Native IDE plugin
Metrics dashboard
Technical-debt backlog
Noise filters (limit & severity)
Self-host option
(limited)
Pricing
$15 – $24 / monthly
$40 / monthly
Version-controlled guidelines you can scope from the whole repo down to a single file—or import ready-made in one click.
Bring the right context into every review—or get feedback before code ever hits the PR.
Turn review data into team KPIs—or just tally how many warnings you raised.
Bring the right context into every review—or get feedback before code ever hits the PR.
If your team values precision, visibility, and control, Kodus is the clear choice. It lets you:
Enforce your standards – Scope rules from repo-level down to a single file or PR, with every change tracked in Git. This ensures the AI reviewer truly understands and enforces your specific coding conventions.
Bring in full context – Pull real-time context (CI results, Jira stories, Notion specs, test results, etc.) into one authoritative review comment, so suggestions come with evidence and relevance attached.
Track outcomes – See what actually ships with Cockpit’s metrics, and automatically convert unresolved suggestions into a tidy backlog for follow-up. You’ll know if issues are being fixed and where your code quality is improving or slipping.
Deploy on your terms – Run Kodus self-hosted for free (full ownership of your data), or use a flat-price cloud with unlimited seats. No vendor lock-in — you can even inspect or extend the open-source code.
Cursor’s BugBot is a solid, fully managed SaaS tool for teams that want quick “set-it-and-forget-it” AI reviews with minimal configuration. It’s especially attractive if you’re already using the Cursor IDE and primarily need to catch bugs and security issues in GitHub PRs without much customization effort.
However, if you’re looking for deeper customization, richer insights, broader issue coverage, and the freedom to run on-prem or adapt the tool to your workflow, Kodus delivers far more – and does so without locking you into a proprietary ecosystem.
In short, Kodus offers a more comprehensive solution for AI-assisted code review, empowering your team to ship faster and safer with a level of flexibility that BugBot can’t match.
Spin it up in under 2 minutes—cloud or self-hosted, no credit card.