This is something I ve been thinking about a lot lately. As a developer, it's both exciting and a bit overwhelming to see how fast tools like Cursor/Codeium/Replit/Bolt/etc are evolving.
Personally, I believe the key to staying relevant isn't just about writing raw code anymore it's about shifting towards problem-solving, system design, and understanding how to effectively communicate with these tools.
Here s what I ve been focusing on:
Prompt engineering: Learning how to instruct AI tools to get the output I want.
Reading and reviewing AI-generated code: To ensure I still understand the logic, patterns, and performance implications.
Learning product thinking: The better I understand the "why" behind features, the more valuable I am beyond just code.
Keeping up with AI updates: Not just tools, but the broader ecosystem (LLMs, APIs, automation, etc.)
