Building an AI-native engineering org
What happened
Over nine months, FurtherAI increased engineers' daily code merges fivefold while keeping revert rates below half a percent by progressively integrating AI agents into each stage of software delivery—from code generation and testing to review, CI, bug intake, rule enforcement, and automated merging. By September, AI agents were handling nearly all code changes, generating tests for 91% of changes, reviewing 99% of changes, and automating bug ticket creation and rule checks, enabling a third of low‑risk changes to merge without human intervention.
Why it matters
These steps show how embedding AI throughout the development pipeline can dramatically boost productivity and reduce manual effort, suggesting that AI‑native engineering practices can scale output while maintaining quality.
Is this a big deal?
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