AI coding tools helped engineering teams ship faster, but faster doesn't mean aligned. CodeRabbit saw this firsthand across millions of code reviews: AI-generated code produces 1.7x more issues than human-written code, and most of those issues trace back to misalignment between what the developer meant and what the agent build to solve it, they built an orchestration layer on Claude that moves the hard decisions upstream, turning vague requirements into structured, reviewable plans before coding agents start executing.
Join CodeRabbit, VP of AI David Loker for a live look at how that system works and what builders can learn from the architecture.

VP of AI @ CodeRabbit

Startups @ Anthropic

Applied AI @ Anthropic
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