AI is transforming software development from a craft into a coordination problem. Developers who master agent orchestration—managing fleets of AI that plan, write, test, and merge code—are seeing 10x productivity gains, especially at cutting-edge companies like OpenAI. Trust in AI doesn't come from capability but predictability, which requires around 2,000 hours of hands-on use. The real bottleneck has shifted from coding to merging, as simultaneous changes create conflicts that demand AI-mediated serialization. Traditional IDEs are becoming obsolete; the future lies in dashboards that manage autonomous agents working in parallel, communicating via protocols like MCP. Contrary to past wisdom, rewriting systems from scratch is now often faster than refactoring legacy code. Meanwhile, senior engineers with 12–15 years of experience are the most resistant to change, their identities tied to outdated workflows. The next frontier is 'factory farming' code at industrial scale, where even non-programmers can participate through high-level direction. For the next generation, learning syntax is less important than understanding architecture and system design through 'vibe coding.'