AI-Powered Dev

Code 10x Faster with AI Tools

The best engineers don't just write code — they leverage AI to ship faster. Master Claude Code, Cursor, Windsurf, and the entire AI-powered development workflow.

Start AI-Powered Dev Compare AI tools

The AI-Powered Development Workflow

This is how modern engineers work. You'll master this workflow from day one.

Step 1

Describe

Write a natural language prompt describing what you want to build or fix

Step 2

Generate

AI tool generates code across multiple files, following your project conventions

Step 3

Review

Review AI-generated code, iterate with follow-up prompts to refine the output

Step 4

Ship

Run tests, commit with AI-generated messages, push, and deploy via CI/CD

AI Dev Tools You'll Master

Each tool has a different strength. We teach you when and how to use each one for maximum productivity.

Claude Code

Terminal-First AI

The most powerful AI coding assistant for terminal workflows. Edit multiple files, run commands, manage git, and build entire features from natural language. Perfect for backend development, refactoring, and complex multi-file changes.

Best for: Backend development, large refactors, full feature implementation

Key Strengths

Multi-file editing
Git workflow
Refactoring
Feature building

Cursor

AI IDE

VS Code fork with deep AI integration. Inline code generation, multi-file editing with Composer, codebase-aware chat, and tab completion that understands your entire project context.

Best for: Everyday coding, pair programming, exploring unfamiliar code

Key Strengths

Inline generation
Composer mode
Codebase chat
Tab completion

Windsurf

Agentic IDE

AI editor with Cascade, an agentic coding flow that handles complex tasks autonomously. Great for rapid prototyping and when you need the AI to take initiative on implementation.

Best for: Prototyping, autonomous implementation, complex features

Key Strengths

Autonomous coding
Cascade flows
Rapid prototyping
Complex tasks

GitHub Copilot

Inline Completion

Real-time code suggestions as you type. Best for boilerplate, repetitive patterns, and when you know what you want but want to type less. Integrates into any editor.

Best for: Boilerplate code, repetitive patterns, test writing

Key Strengths

Real-time suggestions
Pattern recognition
Any editor
Fast completions

OpenCode

Open Source

Terminal-based AI coding tool for developers who prefer open-source. Lightweight, fast, and works with multiple LLM providers. Community-driven development.

Best for: Open-source advocates, custom setups, multiple LLM providers

Key Strengths

Open source
Lightweight
Multi-provider
Extensible

v0 & Bolt.new

UI Prototyping

Generate complete UI components and full-stack applications from prompts. Ship frontend prototypes in minutes, then refine with your own code.

Best for: UI mockups, frontend prototyping, landing pages, MVPs

Key Strengths

UI generation
Full-stack apps
Rapid prototyping
Component library

AI Tool Comparison

Different tools for different situations. We teach you to pick the right one for each task.

Capability Claude Code Cursor Windsurf Copilot
Multi-file editing ✓ ✓ ✓ —
Terminal commands ✓ ~ ~ —
Inline completion — ✓ ✓ ✓
Codebase awareness ✓ ✓ ✓ ~
Git integration ✓ ~ ~ —
Autonomous tasks ✓ ~ ✓ —
UI prototyping — ~ ~ —
Open source — — — —
✓ Excellent ~ Partial — Limited

Before AI vs. After AI

The same tasks, drastically different timelines. This is why AI-powered development skills are non-negotiable.

Build a new API endpoint

Before AI
2-4 hours
With AI
15-30 minutes

Route, controller, model, serializer, tests — all generated and reviewed

Refactor across 20 files

Before AI
1-2 days
With AI
30-60 minutes

AI handles the tedious changes, you review the diff

Write test suite

Before AI
3-5 hours
With AI
30-45 minutes

AI generates comprehensive tests, you validate edge cases

Debug a complex issue

Before AI
2-8 hours
With AI
15-60 minutes

AI reads the codebase, traces the bug, suggests the fix

Build a UI component

Before AI
2-4 hours
With AI
10-20 minutes

v0 or Cursor generates the component, you customize

Write documentation

Before AI
1-3 hours
With AI
15-30 minutes

AI generates docs from code, you review and refine

Skills You'll Develop

Beyond individual tools — you'll develop the meta-skills that make AI-powered developers exceptional.

Write effective prompts for code generation

Craft prompts that produce exactly the code you need, with the right context and constraints

Debug and iterate with AI assistance

Use AI to diagnose bugs, trace issues, and suggest fixes across complex codebases

Multi-file refactoring with AI tools

Rename, restructure, and modernize code across dozens of files in minutes

AI-assisted code review and testing

Leverage AI to review PRs, catch bugs, and generate comprehensive test suites

Know when to use AI vs. manual coding

Critical judgment about when AI helps and when it hinders — the key differentiator

Building full features with AI pair programming

From ticket to deployed feature using AI tools throughout the entire workflow

Git workflow with AI-generated commits

Meaningful commit messages, PR descriptions, and changelogs — all AI-assisted

Agentic coding and autonomous workflows

Let AI handle complex, multi-step tasks while you focus on architecture and review

Frequently Asked Questions

What AI coding tools will I learn?
You'll master Claude Code (terminal-first), Cursor (AI IDE), Windsurf (agentic IDE), GitHub Copilot (inline completion), OpenCode (open source), and UI prototyping tools like v0 and Bolt.new.
Do I need coding experience to learn AI-powered dev?
Basic programming knowledge is helpful but not required. We teach AI tools alongside fundamentals, so you learn to code effectively from the start with AI assistance.
Will AI tools replace developers?
No. AI tools make developers more productive, not obsolete. Engineers who master AI tools ship 10x faster and are more valuable to employers. The tools still need human judgment, architecture decisions, and code review.
Which AI coding tool is best?
Each tool has different strengths. Claude Code excels at terminal workflows and multi-file changes. Cursor is best for IDE-based pair programming. Windsurf handles complex autonomous tasks. We teach you when to use each one.
What's the difference between AI-Powered Dev and AI Building?
AI-Powered Dev teaches you to use AI tools to write code faster. AI Building teaches you to create AI applications (chatbots, RAG, agents). They complement each other — many students do both.
How quickly will I see productivity gains?
Most students see a 3-5x speed improvement within the first 2 weeks. After completing the program, 10x improvements on many common tasks are typical.

The Future Belongs to AI-Powered Developers

Engineers who master AI tools ship faster, write better code, and are more valuable to employers. The gap between AI-powered and traditional developers grows every month.

Apply Now — Takes 2 Minutes