AI has changed what it means to write software. Code generation is being commoditized. The hard problems — coordination, verification, architectural judgment, organizational alignment — are not. The bottleneck has moved, but it hasn’t disappeared.
I’ve been tracking this shift closely from both an engineering and leadership perspective: what AI tools actually change about delivery, where the verification and coordination costs accumulate, and what the role of the software engineer looks like in an AI-first world.
What this topic covers
- The shift from code production constraints to coordination and assurance constraints.
- Why verification debt grows faster than teams expect in agent-assisted workflows.
- Which development practices survive in an AI-first environment and which collapse.
Start here
- AI Made Coding Cheap. Coordination Is Still Expensive
- Code Is Cheap. Guarantees Aren’t.
- The Pull Request Is Dead: Surviving the AI Code Avalanche
For adjacent topics, see Engineering Leadership and Platform Engineering, where these AI-driven changes meet team structure and platform design.