People keep saying that AI now handles most software development tasks, leaving humans with only a small fraction of the work. Whether or not that is exaggerated, I still want to get hired as a developer. Generic advice like "adapt" or "learn new skills" is not very helpful, and simply experimenting with prompts does not seem like a reliable career path. What practical skills or portfolio work would actually help me land a job in the current market?
3 Answers
AI is putting the most pressure on repetitive entry-level coding, but it has not eliminated the need for capable developers. Build fundamentals around debugging, databases, APIs, testing, version control, and deployment. Also practice reviewing AI-generated code critically, because a fast incorrect solution can create more work than writing the feature carefully yourself.
A useful portfolio project is to work on real bug fixes instead of only building polished demo apps. Find an open-source project with an unresolved bug, reproduce the problem, investigate the cause, and submit a tested fix. Being able to show that you can read an unfamiliar codebase, interpret stack traces, and prevent regressions gives employers something concrete to evaluate.
Companies still need developers who can inspect, debug, and maintain the code AI produces. Prompt-only roles are likely to be crowded, but people who understand systems, testing, performance, and failure modes are valuable. Treat AI as a tool that speeds you up, not as a replacement for knowing what the code is supposed to do.
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