AI Engineer Podcast: Anthropic Scales Code Merges to 30,000 Daily via Claude Review
The AI Engineer podcast releases an episode discussing how Anthropic scaled its software development throughput. Guests Manish Kapur (Sonar) and Addy Osmani (Anthropic) cover the shift from human-paced reviews to AI-assisted workflows, specifically detailing how Anthropic moved from approximately 2,500 to 30,000 merged code changes per day using Claude for first-pass review backed by verification evidence.
The AI Engineer podcast has published a new episode titled "How Anthropic Merges 30,000 Code Changes a Day," featuring Manish Kapur from Sonar and Addy Osmani from Anthropic. The discussion centers on the challenges posed by coding agents generating pull requests faster than traditional human review processes can handle.
According to the episode description, Anthropic scaled its internal software factory from about 2,500 to 30,000 merged changes per day. This increase was achieved by implementing Claude for first-pass reviews, supported by real verification evidence. The guests also discuss the concepts of "light" versus "dark" software factories and findings from Sonar's State of Code survey regarding where next efficiency gains might come from.
The episode covers technical controls such as permissions and sandboxes, and concludes with a lightning round on labeling agent-written PRs and determining when it is safe to merge. This resource offers a specific look at how a major AI organization is restructuring its engineering validation loops to accommodate high-throughput AI-generated code.