You Probably Won't Be a 'Big Shot' Programmer. Then What?

The pressure to be exceptional can leave solid but average engineers feeling like failures; this reflection gives them a grounded alternative: measure progress by your own standards, not by the most famous peers. For AI tool buyers, it's a reminder to evaluate by the time saved on your own tasks and budget, not by what others pay.

After a few years in the field, a front-end programmer concedes they're probably an ordinary engineer, not the legendary 'big shot' they once aimed to be. That admission stings, but it doesn't stop the work or the learning. The open question shifts from 'how do I climb higher' to 'how do I build a sustainable life if the top is never reached?'

One answer is to stop treating every hour as an investment in advancement. The author keeps the skills and experience accumulated as a programmer, but no longer puts every future expectation on that single track. New interests deserve time without guilt, and past effort retains value even without a promotion. The same pragmatism shows up in AI tool selection: no one assistant handles writing, coding, PPTs, and requirements reliably, so tasks are matched to tools and results are checked by hand. Paid models are judged by task complexity, revision load, and whether saved time justifies the cost, not by what peers recommend.

That logic extends to career planning. Other people's paths are reference points, not blueprints, and the right fit changes with needs. To move forward, the author plans to start with a hobby like photography, without demanding it become a side income. The goal is to enjoy the activity and see whether it sticks, leaving room to revisit the question later.