How AI Removed the Execution Barrier for My Hobby Projects

andre

July 28, 2026

I will be the first to admit that AI has its flaws. It hallucinates, overengineers solutions, and loves duplicating code. But despite these quirks, the latest models have genuinely increased my overall motivation to build things.

My brain is always generating ideas for new tools or projects. The problem has never been a lack of imagination. It is the groundwork. Even the simplest website requires boilerplate, configuration, and repetitive tasks. This work is unavoidable and incredibly tedious. It is exactly the kind of friction that kills a hobby project before it starts. AI shines here. If you give it an exact specification, preferably with tests to measure the results, it will churn out decent code for the mundane stuff.

People throw around wild productivity metrics. Some claim a tenfold increase, others say double. My experience is more nuanced. For certain tasks, AI is actually a distraction. But for other tasks, I simply would never have undertaken them without it. The real win is not just doing old things faster. It is doing things I previously avoided.

Take a specific hobby project I have used almost daily for years. I originally built the interface using a niche technology. The community is supportive but tiny. Library updates happen maybe once a year. If I wanted new functionality, I had to wait or write it myself.

Recently, I decided to rewrite the entire interface using a more standard framework. The catch is that I did not know the new framework and had zero interest in learning it. Building interfaces is not my forte.

So, I pointed the AI at my old codebase and told it to replicate the behavior in the new framework. After a short iterative loop, it got the job done. I still had to review the output, catch regressions, and fix inconsistencies. But I reached feature parity with my old app very quickly.

That is when the real fun started. The whole point of the rewrite was to add features I had been putting off. Now, I just tell the AI to build them. It handles the interface framework easily, likely because this is the kind of work it is trained upon. I even pushed it further and generated a complete mobile version of the app. What used to be a web page is now a native mobile application. I have a long list of future plans, and I know the AI will handle the heavy lifting.

This highlights a major shift in how I work. For a long time, the pain of wanting a new feature was not enough to overcome the pain of actually coding it, even when I knew exactly how to do it. Time is always the limiting factor in my rather busy life, so hobby projects are very low on the priority list. Now, the execution barrier is almost gone. As long as I can describe the desired outcome in detail in plain English, I can build it. My imagination is no longer constrained by the physical hours required to sit down and type out boilerplate.

I have been riding this wave of enthusiasm since the middle of last summer. AI coding assistants were decent back then, but they are genuinely amazing today. It makes you wonder what coding will look like in two or five years. Everyone is speculating about the future right now. I remain optimistic that the tools will just keep getting better. Assuming the machines do not decide to destroy us first, of course.