CodeRabbit

What it does CodeRabbit reviews pull requests with an AI agent that reads the full diff, the surrounding code, and a per-repo learned knowledge base, then posts inline comments, a walkthrough summary, and committable fix suggestions. It chains in linters and SAST tools so findings are grounded, not hallucinated.

Who it's for Engineering teams that already have PR review as a bottleneck and want the first pass automated — typically 20–500 developer orgs running GitHub, GitLab, Bitbucket, or Azure DevOps. Platform and SRE teams use it to enforce IaC and config-file hygiene at review time.

How platform engineers use it Install the GitHub/GitLab app on infrastructure repos. Every PR gets an AI walkthrough plus inline comments on Terraform, Helm, Kubernetes, and Dockerfile changes. CodeRabbit flags missing resource limits, over-permissive IAM, drift between modules, and secrets in plaintext. The agentic chat lets you ask follow-up questions on the diff, and the autofix bot pushes fix commits back to the branch. Pro Plus adds an issue planner that turns Linear/Jira tickets into scoped implementation plans before the PR is even opened.

Strengths

• Per-repo learning: it stops re-flagging patterns you've told it to ignore
• First-class IaC review (Terraform, K8s, Dockerfile) with security context
• Bundles established linters/SAST so output is auditable, not just LLM opinion
• Free tier is genuinely usable — unlimited public and private repos with summarization

Limitations

• Per-developer billing punishes teams with uneven PR activity
• Review quality and latency degrade on diffs over a few thousand lines
• Self-hosting and SSO are Enterprise-tier only

AI maturity Genuinely AI-native. The product's entire value loop — review walkthrough, inline critique, chat, autofix, issue planning, test generation — is LLM-driven and would not exist without modern agentic models. The deterministic linter integrations are a grounding layer, not the core. Independent assessment confirms the AI is the product, not a feature bolted onto an existing static-analysis tool.