Scale the Judgment, Not the Model — Andrew Orobator, Reddit

Scaling software development responsibly requires shifting from manual product engineering to "harness engineering," where the primary focus is building systems that encode institutional judgment. AI models provide raw talent, but they lack the implicit context and judgment experienced engineers acquire over time. By formalizing this judgment into reusable "skills," maintaining "work logs" for continuity, and utilizing "personas" for specialized review, organizations can make their expertise executable. Verification serves as the essential gatekeeper in this process, ensuring that agents only merge code that meets rigorous, automated standards. Rather than relying on a single master brain, a "society of mind" composed of specialized agents can handle repetitive tasks like stale feature flag cleanup, significantly reducing human toil while increasing reliability. Ultimately, the goal is to move judgment out of individual heads and into the codebase, enabling autonomous, self-driving development workflows.