Learn iOS Engineering for the AI Era.
Master modern iOS engineering by combining timeless software engineering principles with AI-powered workflows used in real production environments.
Hi, I'm Shamkhal Guliyev.
For more than thirteen years, I've been building iOS applications.
I've worked on products used by millions of people. I've led engineering teams. I've interviewed developers. I've mentored more than one hundred students. I've built enterprise banking applications. I've built startup products from scratch.
And over the last few years, I've witnessed something unlike anything I've seen before.
Artificial Intelligence is changing software engineering faster than any technology in my career.
But here's what surprised me.
The biggest difference isn't between developers who use AI and those who don't.
It's between developers who understand engineering and those who don't.
AI doesn't magically create great engineers. It amplifies the engineer already sitting behind the keyboard.
A great engineer becomes dramatically more productive. A weak engineer becomes dramatically more dangerous.
That's why I created this Framework.
Not to teach AI. Not to teach Swift. Not to sell another online course.
But to help engineers build software the way modern engineering teams actually do.
My goal isn't to create developers who generate more code.
My goal is to create engineers who solve better problems.
— Shamkhal Guliyev, Founder of The AI-Powered iOS Engineering Framework
Real Engineers. Real Results.
“I thought I knew how to use AI as an engineer. Module 4 showed me I was skipping the most important step stress-testing architecture before writing a single line. My last feature shipped with zero architecture rework. That's never happened before.”
“The testing prompt alone was worth it. I generated 52 tests for a ViewModel in 13 minutes 3 of them caught real bugs I had already reviewed and missed. I use this prompt before every PR now.”
“I had Cursor, I had Claude, I had Copilot and I was still getting generic output. The .cursorrules setup in Module 2 changed everything. Now AI writes code that fits my codebase, not some random tutorial project.”
Engineering First.AI Accelerated.
This is more than a slogan.
It's the philosophy behind every lesson, every workflow, every project, every prompt.
Engineering always comes first. Artificial Intelligence comes second. Never the other way around.
If you understand engineering, AI becomes your greatest accelerator.
If you don't, AI simply helps you create mistakes faster.
Who This Framework Is For
- Junior iOS Developers
- Mid-Level Engineers
- Senior Engineers adapting to AI
- Team Leads
- Freelancers
- Computer Science Students
- Engineers switching to iOS
- Engineering Managers who want to modernize workflows
Who It Is NOT For
People looking for shortcuts. Developers who only want copy-paste code. Anyone expecting AI to replace engineering knowledge. People unwilling to practice. The Framework rewards curiosity not passive watching.
Before and After.
- Watching random tutorials.
- Searching Stack Overflow.
- Copying ChatGPT answers.
- Following outdated YouTube videos.
- Learning disconnected topics.
- Using AI as an answer machine.
- Feeling overwhelmed by changing technologies.
- Thinking like an engineer.
- Using AI intentionally.
- Building production-ready apps.
- Writing maintainable code.
- Understanding architecture.
- Shipping confidently.
- Becoming the engineer companies look for.
A Progressive Engineering Journey.
8 modules. 47 lessons. Every module builds upon the previous one. Students don't simply learn Swift. They learn how professional iOS engineers think, design systems, collaborate with AI, and build production-ready software.
AI Mindset for Engineers
Why AI is a multiplier and how to think about it like one.
Outcome: Stop treating AI like a search engine. Start treating it like a tool you control.
Prompt Engineering for Swift Developers
Prompts are code. Learn to write ones that actually work.
Outcome: Write prompts that get production-quality Swift on the first try.
AI Coding Tools Mastery
Copilot, Cursor, Claude Code know which tool to reach for and why.
Outcome: Stop switching tools by habit. Start switching tools by strategy.
AI-Assisted Architecture & Design
Design systems AI can build from not just code AI can generate.
Outcome: Make architecture decisions AI can execute without babysitting.
Testing, Debugging & Code Review with AI
Let AI handle the grunt work. You handle the judgment.
Outcome: Ship code you trust faster, with fewer regressions.
On-Device AI & Apple Intelligence
Build features that run on-device fast, private, and offline.
Outcome: Ship on-device AI features without waiting on a server.
AI for Product Development
Engineering doesn't stop at the code. Neither should you.
Outcome: Think like the founder shipping the product, not just the engineer building it.
Capstone: Ship an App with AI
Everything comes together one real app, brief to App Store.
Outcome: Prove you can take an idea to the App Store with AI as your engineering partner, not your crutch.
Not ready to buy? Get 10 free prompts from the framework first.
No commitment. Just 10 production-ready AI prompts pulled straight from the Framework's prompt library.
Five Principles Behind Every Lesson.
Engineering Before AI
AI is not the engineer. You are. Before asking Claude or ChatGPT anything, you should already understand the problem, the constraints, the architecture, and the desired outcome. AI becomes dramatically more valuable when guided by an engineer who knows how to think.
Think Like an Architect
Good engineers don't jump into implementation. They first understand business requirements, user problems, scalability, maintainability, and trade-offs. This Framework teaches engineering decisions before code generation.
AI Is Your Pair Programmer
AI should feel like working with a senior teammate. You ask better questions. You review every answer. You challenge every implementation. You improve every solution. Never blindly copy. Always engineer.
Build Production Software
Toy projects don't prepare developers for real jobs. Every project inside this Framework is designed to resemble real production work. You'll learn how engineers actually build software inside companiesnot how tutorials simplify it.
Learn Systems, Not Tricks
Frameworks change. AI models change. Swift evolves. Engineering systems survive. Instead of teaching isolated prompts, the Framework teaches repeatable workflows that continue creating value regardless of which AI model becomes popular next year.
More Than Educational Content.
The Framework is an engineering operating system. Every component is designed to solve a real problem that modern iOS engineers face.
8 Modules. 47 Lessons.
A structured, self-paced PDF course from AI fundamentals to a full production capstone. Delivered instantly, read on any device.
A Real Capstone Project
Module 08 takes you from brief to App Store submission across 7 real phases not a toy project.
AI Workflow Library
Production-ready workflows for Claude, Claude Code, Cursor, GitHub Copilot, and ChatGPT.
30+ Prompt Templates
Ready-to-use prompts for architecture, code review, refactoring, debugging, and documentation. Copy, paste, ship.
Templates & Checklists
.cursorrules templates, validation checklists, and ADR templates the operating system behind the lessons.
Lifetime Updates
As Swift, Apple's APIs, and AI workflows evolve, so does the Framework at no extra cost.
Traditional Learning vs The Framework.
Common Questions.
One Price. Lifetime Access.
One-time payment. No subscription. Lifetime updates included.
- 8 modules, 47 lessons
- 30+ production-ready prompt templates
- Templates & checklists .cursorrules, ADRs, validation
- Full capstone project ship an app with AI
- Instant delivery via Gumroad
- Lifetime updates, forever
14-day money-back guarantee no questions asked.
Still On the Fence?
“I thought I knew how to use AI as an engineer. Module 4 showed me I was skipping the most important step stress-testing architecture before writing a single line. My last feature shipped with zero architecture rework. That's never happened before.”
“The testing prompt alone was worth it. I generated 52 tests for a ViewModel in 13 minutes 3 of them caught real bugs I had already reviewed and missed. I use this prompt before every PR now.”
“I had Cursor, I had Claude, I had Copilot and I was still getting generic output. The .cursorrules setup in Module 2 changed everything. Now AI writes code that fits my codebase, not some random tutorial project.”
Become the Engineer AI Can't Replace.
Not because you write more code.
Because you make better decisions.
Because you understand systems.
Because you know how to think.
The future doesn't belong to developers who use AI. It belongs to engineers who know how to think with AI.