Claude by Anthropic
A family of foundational AI models
5.0•655 reviews•39K followers
A family of foundational AI models
5.0•655 reviews•39K followers
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.
This is the 29th launch from Claude by Anthropic. View more
Claude Code Review
Launching today
Claude Code now dispatches a team of agents on every PR to catch bugs that skims miss. Available in research preview for Team and Enterprise. It is an AI-powered multi-agent code review that analyzes every pull request like an expert team. It detects bugs, security issues, and hidden logic flaws in AI-generated code, verifies findings to reduce false positives, and delivers high-signal feedback before code reaches production.
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Launch Team
ChatGPT by OpenAI
Gemini
We started using Claude at the agency for client briefs and first-draft copy. The multi-agent review is a smart addition AI-generated code ships faster than anyone can review manually, so having agents check each other makes sense.Curious about the false positive rate. That's usually where automated review tools lose the team's trust.
Built my entire SaaS with Claude Code, so this is relevant to me. The biggest challenge with AI-generated code isn't writing it, it's trusting it at scale. When you're integrating multiple ML models and wiring up payment flows, a missed edge case can cost you. Excited to see multi-agent review applied to this problem.
Documentation.AI
Seems like Caude killed a lot of code review products from YC. They may have to pivot.
Who has a Team or Enterprise subscription?
Huge launch, the multi-agent approach for PR reviews makes a lot of sense. Catching logic bugs, security issues, and subtle AI-generated code mistakes before production is exactly where teams need help.
Coincidentally, today I launched something related as well: Blocfeed.
While tools like Claude Code analyze the code itself, Blocfeed focuses on what happens after software reaches real users. Bugs often appear only on specific systems or edge cases where everything works fine on the developer’s machine.
Blocfeed aggregates user feedback and reports to surface:
Bugs that only occur in certain environments
Issues that slip past internal testing
Patterns in what users are complaining about
Feature requests users repeatedly ask for
I can imagine a strong synergy here:
Claude Code → prevents bugs before merge
Blocfeed → detects real-world issues and user needs after release
Congrats on the launch, excited to see where this multi-agent review direction goes. 🚀
Copus
Multi-agent code review is a great concept. Having different agents specialized for different types of issues — security, performance, logic errors — should catch things that a single-pass review would miss. Really like the approach of catching bugs early in AI-generated code specifically, since that is becoming the default way people write code now.
So we have AI writing the code, and now a team of AI agents reviewing the code. Are we humans just here to pay the AWS server bills now?Haha. Brilliant launch!