AI coding is accelerating software production by integrating into core development loops, with AI-powered IDEs and agentic assistants driving efficiency. Developers are shifting from manual coding to overseeing autonomous agents that use APIs and testing environments, particularly streamlining legacy code migration. As code output grows, review has become a bottleneck, prompting AI-driven summary validation and changes to PR workflows. Development tools like Git and documentation systems must now adapt to real-time, agent-led processes. Context engineering and new tooling—such as sandboxes and specialized models—are critical for agent performance. The DevTools market may expand into trillions, with emerging metrics like token usage replacing traditional commit counts. Startups that treat agents as users and reinvent workflows stand to gain the most, with rapid execution and team quality determining success in this fast-evolving domain.