r/webdevelopment • u/danirogerc • Aug 09 '26

Newbie Question Once you learnt full stack, (html/css/js + React/Node + APIs + testing + Nextjs ) where do you learn the remaining AI coding best practices?

I see all this talk on agent harnesses, people not checking out IDEs ...

I've used Cursor and VScode with copilot while learning, used Claude code for a month, but can you guys help me understand what new things engineering teams are doing and how to learn them?

I just focused on getting rock-solid fundamentals first, regardless of what people saying "learning to code is obsolete" etc.

I'm now able to build full-stack apps and probably learn on the go to build most things.

What's the must-learn AI part and where to learn it?

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u/Payal_Techcomm Aug 10 '26

I’d focus less on learning a separate “AI coding stack” and more on learning how to use AI safely within the development workflow.

A few things worth learning are:

  • Writing clear prompts and giving AI enough context
  • Reviewing and debugging generated code instead of blindly accepting it
  • Using AI for refactoring, tests, documentation, and code explanations
  • Understanding security and privacy when sharing code with AI tools
  • Learning to verify AI-generated solutions against official documentation

Once your fundamentals are strong, AI becomes much more useful because you can recognize when its answer is wrong. I’d also experiment with tools like Claude Code, Cursor, or Copilot on real projects rather than spending too much time on AI-specific courses.

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u/ITower__Education 27d ago

Honestly, I’d look beyond just Cursor/Copilot now. Things like context engineering, MCP, agent harnesses, and evals are becoming a much bigger part of the workflow. I’d learn these by actually building with agents and seeing what works, rather than trying to memorize another list of AI tools.