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
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- Following outdated YouTube videos.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.
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.
Engineering Mindset
Learn how engineers think before writing code.
Outcome: Stop asking 'How do I build this?' — start asking 'What problem am I actually solving?'
Modern Swift
Production-ready Swift. Not interview Swift.
Outcome: Write Swift that's maintainable, scalable, and enjoyable to work with.
SwiftUI Engineering
Build scalable interfaces — not just beautiful screens.
Outcome: Stop building screens. Start building design systems.
Software Architecture
Learn why great products remain maintainable.
Outcome: Learn how experienced engineers organize large applications.
AI-Powered Engineering
Use AI like an engineer — not like a prompt collector.
Outcome: Learn repeatable AI workflows used in real production engineering teams.
Building a Production Application
Everything comes together in one real engineering workflow.
Outcome: Experience a repeatable engineering process you can apply throughout your career.
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 companies — not 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.
The Complete Framework
A structured engineering journey from fundamentals to advanced AI-powered workflows across 6 modules.
Real Production Projects
Learn by building — not by watching. Every major concept is reinforced through real-world projects inspired by production engineering practices.
AI Workflow Library
An ever-growing collection of production-ready workflows for Claude, Claude Code, ChatGPT, Cursor, and GitHub Copilot.
Prompt Library
A curated collection of reusable prompts for architecture discussions, code reviews, refactoring, debugging, documentation, and testing.
Engineering Templates
Templates for project architecture, feature planning, technical design documents, pull request templates, decision logs, and release notes.
Lifetime Updates
As Swift evolves, as Apple releases new technologies, as AI changes engineering workflows — the Framework continues evolving alongside them.
Traditional Learning vs The Framework.
Common Questions.
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.