"Writing code is only a small part of the job. Most of the work is everything around it—making sure dependencies are stable, environments are consistent, and the system behaves the same way under pressure as it does in testing. You don't assume things will work. You verify them, because eventually something will change."
"What's happening with a lot of AI-driven development right now pushes in the opposite direction. It encourages speed over understanding. Prompt, generate, ship. That works fine for getting a demo together, but it skips the part where someone takes responsibility for how the system holds up over time."
"When you combine that with how easy it is to distribute apps today, you end up with a flood of software that technically works in the moment but hasn't been thought through. And that's where things start to break down."
Many systems built for longevity operate seamlessly without constant attention. In contrast, the current software landscape is filled with disposable apps that often lack readiness and stability. The focus on rapid development, especially in AI-driven projects, encourages quick releases without thorough understanding or responsibility for long-term performance. This results in a significant amount of software that may function temporarily but is not designed for sustained reliability, contributing to what is termed 'app litter.'
Read at App Developer Magazine
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