Path 1: Use AI Tools
Master AI coding assistants to code 2-3x faster with Cursor, Copilot, Claude CLI, and Gemini CLI.
Overview
This learning path transforms you from a traditional developer into an AI-augmented engineer who codes 2-3x faster. You'll master the most powerful AI coding assistants and learn to write prompts that generate production-quality code.
What You'll Achieve:
- ⚡️ 2-3x faster coding with AI autocomplete and generation
- 🐛 Debug in minutes instead of hours with AI assistance
- 📚 Learn new codebases rapidly with AI explanations
- ✨ Generate boilerplate instantly (components, tests, configs)
AI Coding Tools Landscape
Before diving in, understand the 5 levels of AI coding assistance:
| Level | Capability | Example Tools |
|---|---|---|
| L1 | Code-level completion | GitHub Copilot, Tabby |
| L2 | Task-level code generation | Cursor, Claude CLI, Copilot Chat, Continue |
| L3 | Project-level generation | v0, Sweep, Pythagora |
| L4 | PRD to production | bolt.new, Lovable, Devin |
| L5 | AI development team | MetaGPT, AutoDev |
This path focuses on L1-L2 - the tools you'll use daily as a frontend engineer.
Path 1: Use AI Tools
Master AI coding assistants to code 2-3x faster.
Tool Setup & First Prompts
Choose your primary tool (Cursor, Copilot, or Claude CLI) and learn to write effective prompts for code generation.
Effective Prompt Engineering
Learn the CRISP framework (Context, Requirements, Input/Output, Style, Pitfalls) to generate production-quality code.
Advanced Patterns
Master iterative refinement, context loading, and multi-file operations. Generate code that matches your codebase style.
Real-World Projects
Apply AI coding to actual development tasks: form builders, API clients, and comprehensive test suites.
Next Steps
Ready to add AI features? → Path 2: Integration
Explore all tools? → AI Coding Tools