Stop Measuring AI by Lines of Code. Build a Software Factory.
Faster coding can make delivery slower AI can generate code faster than most organizations can review, test, secure, release, and operate it. If the rest of the lifecycle stays unchanged, coding acceleration creates a larger queue. The organization produces more work in progress, not more production value. That is why the strategic shift is bigger than an AI coding assistant. The emerging model is an AI-driven development lifecycle: specifications, architecture, implementation, testing, security, deployment, and operations connected as one governed production system. The software factory is becoming agentic AWS calls this AI-DLC. IBM is coordinating role-based agents across the full SDLC. GitHub is building a control center for directing multiple agents in parallel and preserving the trail of what they attempted and validated. Security sandboxes, autonomous penetration testing, and DevOps agents are becoming factory stations rather than downstream services. The factory metaphor matters...