What began as simple weekend coding projects for learning and fun have ballooned into complex endeavors. Developers find their 'pet projects' now demand significant attention, driven by the rapid evolution of AI tools like agentic coding. The initial joy of building has shifted as these side projects morph into potential products or companies, introducing stakes and ambition that were previously absent.

This evolution is fueled by a changing technical landscape. New AI models and toolsets encourage ambitious builds, pushing developers to explore concepts that once seemed too large for a hobby. The nature of the work itself transforms; less typing code, more describing, steering, and orchestrating AI agents. This shift strains individual capacity, creating a 'pack' of demanding projects where one used to suffice.

Beyond the individual, the entire development scene reflects this trend. Non-coders are building AI-driven projects, and engineers expand their skillsets into design and product management. While exciting, this rapid growth brings burnout and a subtle fear that the very AI tools enabling this expansion could ultimately displace the crafts they serve. The lines between hobby, practice, and product blur as the underlying technology redefines the engineering craft itself.