You now need both arms: engineering + AI. Become an AI-native developer.

Think like an AI-native builder - and see where the industry is going

• - How AI changed software engineering forever - and the new leverage you now have
• - The mental model that separates 10x AI-native builders from prompt tourists
• - Where the industry is heading and how to position yourself ahead of it

A map of every tool that actually matters - with real-world examples

• - The full landscape: editors, terminals, agents, MCPs - what each is for
• - When to reach for which tool (and which ones are hype)
• - Real-world examples of each tool shipping real work

Autonomous agents and rapid builders

• - Autonomous agents that build for you
• - Mentoro tools - head-to-head comparison
• - Google AI Studio for fast prototyping
• - Devlingo and the rapid-build stack

Ship inside Cursor, Cline and Lovable

• - Lovable for fast, production-grade frontends
• - Cursor 1-3 plus Cursor 2.0 - the full power-user workflow
• - Cline for agentic edits straight in your editor
• - Running tight AI sprints that actually ship

Claude Code, Codex and multi-agent builds, hands-on

• - Claude Code: setup, context, and full builds
• - Codex for terminal-driven development
• - Slash commands and plan mode for controlled, reviewable output
• - Multi-agent workflows and the Ralph pattern
• - A real Laravel project, built end to end from the terminal

Wire AI into your real tools and data

• - What MCP is and why it changes everything
• - MCPs inside Cursor
• - The MCP bank - including the Zapier MCP
• - Connecting AI to your databases, APIs and files

Why prompts fail - and how to make them reliable

• - The real reasons prompts fail in production
• - Content: what to put in (and leave out)
• - Structure: framing prompts the model can actually execute

Understand the stack you are building on

• - The AI stack, demystified
• - The concepts that actually move the needle
• - How models reason, so you can steer them

The flagship module - spec-driven, agent-orchestrated delivery from PRD to production

• - Spec-driven development with Spec Kit - specs the agents actually follow
• - The BMAD method for AI-driven agile delivery, start to finish
• - Orchestrate AI agents end to end: PRD → UX design → architecture → build → review
• - The 'AI Tools Atlas' project: brainstorm → PRD → UX → architecture
• - Context engineering that makes agents 10x more reliable (no more 'works in the demo')

Ship a complete product, end to end

• - Parts 1-5: build a real full-stack product from scratch
• - Apply orchestration, MCPs and context engineering together
• - Deployment as part of the capstone

Take it to mobile from your frontend

• - Turn your web frontend into a real app
• - Mobile-ready builds driven by AI

Get it live

• - Ship to production with confidence
• - Go from local build to a live URL your users can hit