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The Vibe Coding Revolution: AI-Assisted Development

How AI coding tools changed my development workflow - from skeptic to convert in the age of Claude Code and Cursor.

Evyatar Bluzer
2 min read

I was skeptical of AI coding assistants. "They'll write buggy code." "You still need to understand everything." "It's just autocomplete."

I was wrong.

The Transformation

Before AI tools:

  • Write code line by line
  • Google for syntax and APIs
  • Debug through manual inspection
  • Slow iteration cycles

With AI tools:

  • Describe what I want in natural language
  • AI writes first draft
  • I review and refine
  • Much faster iteration

My output increased ~3x without sacrificing quality.

Tools I Use Daily

Claude Code

For complex, multi-file changes:

  • Understands project context
  • Makes coordinated changes across files
  • Explains what it's doing

Perfect for refactoring, new features, debugging.

Cursor

For in-editor assistance:

  • Inline completions while typing
  • Quick questions without context switch
  • Code explanation on demand

My default editor now.

ChatGPT/Claude

For conceptual work:

  • Architecture discussions
  • Algorithm design
  • Technology evaluation

Thinking partner, not just code generator.

Changed Practices

Prompting is a Skill

Writing good prompts matters:

  • Clear requirements
  • Relevant context
  • Specific constraints
  • Expected format

Better prompts = better outputs.

Review is Critical

AI writes code; I verify it:

  • Does it do what I asked?
  • Are there edge cases missed?
  • Is it the right approach?
  • Security implications?

Reviewing AI code is different from reviewing human code.

Documentation Changed

AI can generate docs from code:

  • READMEs from implementations
  • Comments from logic
  • API docs from signatures

But I still write key architectural decisions myself.

What AI Can't Do (Yet)

  • Deep architectural judgment
  • User experience intuition
  • Business prioritization
  • Novel algorithm invention

AI amplifies; it doesn't replace thinking.

Implications for the Field

Junior developers: Different skill set needed. "Learning to code" now includes "learning to prompt."

Senior developers: Leverage AI to operate at higher abstraction level.

Teams: Smaller teams can build bigger things.

The economics of software development are shifting. I'm glad to be building in this era.

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