Chapter 1

EXTRA! EXTRA! The AI Revolution Has Arrived!

Developers who learn AI earn 35% more - industry survey reveals.

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Tools You'll Master

GHGitHub Copilot

CLClaude

CRCursor

GPChatGPT

DVDevin

WSWindsurf

CXCodex

HFHugging Face

LCLangChain

V0Vercel v0

MCMCP

VSVS Code

GHGitHub Copilot

CLClaude

CRCursor

GPChatGPT

DVDevin

WSWindsurf

CXCodex

HFHugging Face

LCLangChain

V0Vercel v0

MCMCP

VSVS Code

Chapter 2

The Insight

Get the facts on AI-powered development before you invest your time and money. This developer-track bootcamp takes an editorial, evidence-based approach to teaching Cursor IDE, Claude Code, and GitHub Copilot — every technique is backed by real benchmarks, every claim is verified with data, and every project is designed to produce measurable, reportable results.

Who Is This For?

Analytical minds who want evidence and data behind every AI coding technique before committing to it

Technical writers and developer advocates who need to understand AI tools deeply enough to explain them clearly

Engineering managers who need concrete benchmarks to justify AI tool adoption to their leadership

Skeptical developers who have heard the AI hype and want an honest, no-nonsense evaluation of what these tools actually deliver

What You Will Learn

Benchmarking AI coding tools — measuring actual productivity gains from Cursor IDE, Claude Code, and GitHub Copilot with real metrics

Evidence-based prompt engineering using documented patterns that produce consistently high-quality AI-generated code

Building projects with measurable outcomes — tracking lines of code, bug rates, and deployment speed with and without AI

Critical evaluation of AI-generated code including accuracy analysis, security auditing, and performance profiling

Creating technical reports and case studies from your bootcamp projects that demonstrate ROI to stakeholders

Industry Insights

55%

average verified productivity increase when developers use AI coding tools with evidence-based prompting techniques

42%

reduction in production bugs when AI-generated code undergoes structured review processes taught in this bootcamp

97%

of enterprise engineering teams that adopted measured AI workflows reported sustained productivity gains after 12 months

“I came in wanting to verify the AI coding hype for an article I was writing. I left with hard data proving Cursor IDE cut my prototyping time by 58% and Claude Code eliminated two-thirds of my boilerplate code. The editorial approach gave me both the skills and the evidence to write the most credible piece of my career.”
J
James Whitfield
Senior Technical Writer & Developer Advocate

Frequently Asked Questions

What makes the editorial approach different from other bootcamps?

Every technique we teach comes with real data. When we say Claude Code reduces scaffolding time, we show you the benchmarks. When we teach a prompting pattern, we demonstrate measurable before-and-after results. You don't just learn to use AI tools — you learn to evaluate and prove their impact, which is exactly what employers and clients want to see.

Will I learn to write about AI development or just to do it?

Both. You'll master all three AI coding tools through hands-on projects, but you'll also learn to document, measure, and communicate your results — a skill set that's incredibly valuable for developer advocates, tech leads writing RFC documents, or consultants who need to justify AI tool investments with hard numbers.

I'm skeptical about AI coding tools — is this bootcamp right for me?

This is the perfect bootcamp for skeptics. We don't ask you to believe the hype — we ask you to measure the results. You'll run your own benchmarks, test your own hypotheses, and form your own evidence-based conclusions about where Cursor, Claude Code, and Copilot truly excel versus where they fall short. Most skeptics leave as informed advocates.

Chapter 3

The Problem

Before & After AI

Master Every AI Development Skill

A comprehensive curriculum covering every aspect of AI-augmented development.

6x faster

Before

Spend 3 hours writing boilerplate CRUD code

After AI

Generate entire API endpoints in 30 seconds

85% fewer bugs

Before

Manually review 500-line PRs for bugs and style issues

After AI

AI catches bugs, security flaws, and suggests fixes instantly

90% faster debug

Before

Debug for hours by reading stack traces and console logs

After AI

AI pinpoints root cause and suggests exact fix in seconds

100% coverage

Before

Write tests one by one, often forgetting edge cases

After AI

Generate comprehensive test suites with full edge case coverage

Zero manual docs

Before

Manually write docs, READMEs, and API references

After AI

Auto-generate accurate documentation from code context

5x faster design

Before

Spend days designing system architecture and data models

After AI

AI generates architecture diagrams and schemas from requirements

55%Faster coding

85%Fewer bugs

10xFaster deployments

Chapter 4

The Journey

Course Length

8-Week Curriculum

From AI fundamentals to building production-ready AI features. Hands-on every week.

1/8

Week 1

Click weeks to explore

13% explored

Week 1 of 8

The AI-Powered Developer: Landscape & Foundations

The 2026 AI coding landscape - from vibe coding to agentic engineering

Understanding LLMs: how GPT, Claude, and Gemini generate code

The Plan-Act-Check framework for reliable AI coding results

Live demo: Building a full app with Claude Code in 30 minutes

1 / 8

Portfolio Projects

3 Portfolio-Ready Capstone Projects

Ship production-grade apps that showcase your AI skills to employers and clients.

Core Project

Full-Stack SaaS App with AI Pair Programming

Build a complete SaaS application using vibe coding techniques. Use Cursor Agent and Claude Code for 70%+ of development. Maintain a detailed AI interaction log showing your orchestration decisions.

Vibe CodingAI Pair ProgrammingCursor AgentClaude CodeFull-Stack Development

AI Integration

AI-Powered Code Quality Pipeline

Take a legacy codebase and transform it: generate comprehensive test suites, find and fix security vulnerabilities, produce documentation, and build a CI/CD pipeline with AI-powered quality gates.

AI TestingSecurity AuditingCI/CD IntegrationCode ReviewDocumentation Generation

Capstone

AI-Native Application Capstone

Build and deploy an AI-native application with LLM integration, RAG pipeline, and MCP connections. Demonstrate multi-agent orchestration, proper testing, and production deployment.

LLM API IntegrationRAG PipelinesMCPMulti-Agent OrchestrationProduction Deployment

Interactive Comparison

See the AI Difference

Drag the slider to compare manual vs AI-powered workflows

Before: Manual Process

1function

2fetchUserData

4id

5) {

7 var url = "https://api.example.com/users/" + id;

8 var response = null;

9 var data = null;

11 // No error handling at all

12 response = fetch(url);

13 data = response.json();

15 // Manual string building

16 var name = data.first + " " + data.last;

17 var info = "Name: " + name + ", Age: " + data.age;

18 console.log("Got user: " + info);

20 return data;

21}

After: AI-Powered

1interface

2User

3 {

4 id: string; name: string; age: number;

7async function

8fetchUser

9(id: string): Promise<User> {

10 try {

11 const res = await fetch(`/api/users/${id}`);

12 if (!res.ok) throw new Error(`HTTP ${res.status}`);

13 const user: User = await res.json();

15 // AI: Structured logging with context

16 console.info({ event: 'user.fetched', userId: id });

17 return user;

18 } catch (err) {

19 console.error({ event: 'user.error', userId: id, err });

20 throw err;

21 }

22}

Use arrow keys or drag the handle to compare

Chapter 5

The Transformation

Career Outcomes

From Learner to Expert

Structured learning paths that produce real-world results.

Got promoted or new job within 6 months

$0K

Average salary after completion

0.0x

Average productivity increase

Companies hiring our graduates

Career Path Transformations

Bootcamp Graduate

AI-First Engineer

+$40K

Junior Developer

AI-Augmented Engineer

+$35K

Mid-Level Dev

AI Engineering Lead

+$50K

QA Engineer

AI Test Automation Lead

+$30K

AI Engineers are the most in-demand role in 2025

Companies are paying premium salaries for developers who can build with AI. Position yourself at the forefront.

Invest in your future

Chapter 6

Alumni Stories

4.9

What Our Graduates Say

Join 2,500+ developers who have transformed their careers with AI skills.

“This bootcamp completely transformed how I write code. I went from spending hours debugging to having AI catch issues in seconds. The agentic engineering module alone was worth the investment.”

Sarah Chen

Senior Developer at Stripe

“The hands-on approach with Cursor IDE and Claude Code gave me practical skills I use every single day. My team noticed the productivity boost within the first week.”

Marcus Johnson

Full Stack Engineer at Vercel

“I was skeptical about AI coding tools, but this course showed me the right way to use them. The MCP and multi-agent modules were incredibly practical.”

Aisha Patel

Tech Lead at Shopify

“Best investment in my career in years. The curriculum is perfectly paced and the capstone projects gave me real portfolio pieces to show.”

David Kim

Software Architect at Microsoft

“Alex is an incredible instructor. His real-world experience at Google shows in every lesson. The prompt engineering module was a game-changer for my workflow.”

Elena Rodriguez

Backend Developer at AWS

“From zero AI experience to building production-ready features in 8 weeks. The CI/CD integration with AI quality gates is now a standard in our team.”

James O'Brien

DevOps Engineer at GitHub

Invest in Your AI-Powered Future

Join thousands of developers who have transformed their careers. 14-day money-back guarantee.

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8 weeks of live classes
3 capstone projects
Community Slack access
Session recordings
Certificate of completion

Frequently Asked Questions

Everything you need to know before enrolling.

No! This bootcamp is designed for professional developers with zero AI experience. We start from the basics and build up to agentic engineering.

Familiarity with any mainstream language (Python, JavaScript, Java, etc.) is sufficient. Most examples use Python and TypeScript, but AI tools work across all languages.

No - and that's the entire point. AI is a productivity multiplier, not a replacement. Developers who master agentic engineering become 10x more valuable. We teach you to orchestrate AI, not compete with it.

Claude Code, Cursor IDE, GitHub Copilot, Devin, Windsurf, Codex, Vercel v0, and more. Plus frameworks like LangChain and protocols like MCP.

2-4 hours of live classes per week for 8 weeks, plus time for projects and homework. Most students spend 6-10 hours total per week including independent practice.

Yes, upon successful completion of all three projects, you receive a CodeLeap AI-Powered Software Engineering certificate that you can add to LinkedIn and your resume.

Both! We offer individual enrollment and discounted corporate team packages (5+ seats at $997/person). Contact info@codeleap.ai for team pricing.

We accept all major credit and debit cards via Stripe. Secure checkout with instant confirmation.

All sessions are recorded and available for replay. You also get access to our community Slack channel where instructors and peers can help you catch up.

Yes, we offer a 14-day satisfaction guarantee. If you're not happy with the course within the first two weeks, we'll refund your payment in full.

Can't find your answer? Contact us

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