AI-Powered Software Engineer Training.
The bar for junior engineers changed. It's no longer "can you code", it's "can you ship, fast, with AI tools doing the grunt work." I'll get you fluent in both.
AI-Powered Software Engineer Training covers:
- A structured 6-week curriculum built around Claude, ChatGPT and Codex, not generic prompting tips
- Hands-on projects built with real AI coding agents, shipped end-to-end every week
- How to review, debug and own AI-generated code like a senior engineer would
- A portfolio project designed to show employers you're AI-native, not AI-anxious
6 weeks, 6 modules, in order.
Each week builds on the last, run live, with real feedback on real work, not a self-paced video library.
Foundations of AI-Native Engineering
Week 1Get your AI stack running before you write a line of production code
- Setting up Claude, ChatGPT and Codex as one real workflow, not three random tabs
- Knowing which tool to reach for: planning, coding, or debugging
- Prompting for code with the context and constraints an AI actually needs
- Reading AI output critically before you accept a single line
Outcome: A working AI-assisted setup and your first AI-paired feature shipped
Planning & Architecture with AI
Week 2Think before you prompt, a plan an AI can actually execute
- Turning a product spec into a technical plan, using Claude or ChatGPT as a thinking partner
- Scoping tasks small enough for an AI agent to get right the first time
- Spotting where AI planning breaks down and a human decision is required
- Documenting a plan so Codex or Claude Code can pick it up cleanly
Outcome: A technical plan for a real project, broken into AI-executable tasks
Building with Claude Code or Codex
Week 3Let an AI agent write and run code, while you stay in control
- Agentic coding workflows with Claude Code and Codex, multi-file changes, not single snippets
- Using tests as the feedback loop that keeps an AI agent honest
- Navigating and refactoring an existing codebase with an AI agent
- Knowing when to take the keyboard back yourself
Outcome: A real feature built end-to-end using an AI coding agent
Reviewing & Owning AI-Generated Code
Week 4Read AI code like a senior engineer, not a rubber stamp
- The common failure patterns: hallucinated APIs, silent bugs, quiet over-engineering
- A review checklist for every AI-generated pull request
- Debugging systematically when the AI gets it wrong
- Explaining AI-generated code line-by-line, the way an interviewer will ask you to
Outcome: A review checklist you actually use on every AI-generated change
Shipping Real Infrastructure
Week 5From a local demo to something a real user can touch
- Taking an AI-assisted project from localhost to a live deployment
- Handling environment variables, real integrations and error handling with AI tools
- Working through security and data-handling concerns AI tools won't flag for you
- Treating deployment as part of the workflow, not an afterthought
Outcome: A shipped, live project, not a local demo
Your AI-Native Portfolio & Startup MVP
Week 6Package the work, whether that's a portfolio piece or your own startup's first shippable version
- Turning 5 weeks of work into one coherent portfolio project
- Turning the same project into a Startup MVP you can actually launch, not just show
- Talking about your AI-augmented workflow in interviews, proving it's a skill
- Building a repeatable process you keep using after the course ends
- Positioning yourself as AI-native, not AI-anxious, to employers
Outcome: A portfolio project or a Startup MVP, and a workflow you keep using after week 6
Built with the exact workflow taught here.
dadinthemirror.com, a real, live product site, directed and shipped end-to-end with the AI-augmented engineering workflow taught in this track.
Four steps, start to result.
Claim your seat
Head to checkout with a bit of context, no long application, just enough for me to understand your situation.
Get a personal reply
I read every submission myself and reply with next steps, not a generic autoresponder.
Work on AI-Powered Software Engineer Training
We work through it together, whether that's a single focused session or an ongoing engagement.
Walk away with a result
A structured 6-week curriculum built around Claude, ChatGPT and Codex, not generic prompting tips
Early-bird pricing, while it lasts.
6 weeks · 1 class per week
Save $700 (58% off), claim within the next 24 hours to lock in this price.
🔥 Only 10 seats this round.
Claim the Early-Bird Price- This website was directed and shipped end-to-end with the exact AI-augmented workflow taught here
- Includes real infrastructure, lead capture, a CRM, dynamic content, not a demo
- Founder of Ustackschool, training product and tech talent at scale
The Secrets Book
The exact playbook behind this offer, delivered by email. Add it to your order at a one-time discount.
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