Anthropic makes Claude Code Review generally available for Team and Enterprise plans, with faster reviews and three depth levels per repo
Code Review is now generally available for Claude Team and Enterprise plans. Reviews are now faster, catch more of the bugs that matter, and admins can pick from Quick, Standard, or Deep review levels for each repo.
Context
Automated review is becoming the bottleneck as AI writes more code, and a faster built in reviewer could change how teams merge changes.
This is a first hand launch post from Anthropic's Claude developer account. The speed and bug catching claims are Anthropic's own.
Deep dive
On October 15, the ClaudeDevs account posted that Code Review is now generally available for Claude Team and Enterprise plans. It said reviews are faster, catch more of the bugs that matter, and that admins can pick Quick, Standard or Deep review levels for each repository.
The attached image shows an example where Claude flags a billing bug: an amount already stored in cents is multiplied by 100 again, so a customer would be charged 100 times the intended amount.
Anthropic's announcement and documentation describe a setup where admins enable the feature, install a GitHub app and choose repositories, after which reviews run automatically on new pull requests. Reports summarizing the launch say most reviews now take about 6 to 10 minutes, roughly three times faster than during the research preview, with Standard as the default level.
The next day, Anthropic said Claude now writes about 90% of Claude Code's own code and described how it changed code review internally to keep up, as covered in the October 16 deck.
Anthropic did not publish numbers on how many bugs the reviewer catches or misses.
What to expect next
Watch for independent comparisons with other AI review tools from GitHub, OpenAI and startups such as CodeRabbit on real pull requests.
Also watch pricing and usage limits for the Deep level, whether Code Review expands beyond GitHub to other code hosts, and how often teams let AI reviews gate merges without a human reviewer. Reports of false alarms will show whether teams trust it.