Towards Self-Driving Codebases

AI agents have shown promise in executing specific coding tasks, but attempts to fully automate software development have largely disappointed, producing questionable code without delivering significant value. The industry is moving beyond simply maximizing token usage toward developing better tools and practices for agent-driven development loops. As automation handles routine coding work, engineers' most valuable contributions will shift toward generating killer ideas, building deep problem domain expertise, and designing sound architecture—areas where human creativity and strategic thinking remain irreplaceable.