The code runs. You have no idea why.
AI hands you 400 lines in six seconds. It works — until it doesn't. Then you're staring at a stack trace you can't read, in a file you didn't write, with no idea what to even ask.
Vibe Coding · Prompt Engineering
Stop watching tutorials.
Start shipping software.
DevFound is where you learn to vibe code real, production-grade applications with AI — and prompt it well enough that the code actually works, actually scales, and actually goes live. Not toy demos. Not another 12-hour course you'll never finish.
- No CS degree required
- Real apps, not toy demos
- Prompts that hold up in production
The reason you're stuck
AI didn't make you a developer.
It made you fast at getting lost.
Your prompts work in the demo, not in the build.
"Make me a login page" is fine on day one. On day thirty it's a tangled codebase, a rewritten auth flow, and an AI that's confidently editing the wrong file.
You keep starting. You never ship.
Eleven half-built projects. Zero live URLs. The gap was never motivation — nobody taught you the boring parts between "it runs locally" and "people are using it."
Vibe coding without prompt engineering is just gambling with extra steps. DevFound fixes the second half.
Inside the classroom
What you'll actually learn
Every module exists for one reason: to get a working, deployed, production-grade app out of your hands and in front of real users.
Prompt engineering that compounds
The actual mechanics — specificity, constraints, examples, role framing, output contracts. How to ask so you get the right answer the first time instead of the fourth.
Context engineering for real codebases
The skill nobody teaches. What to feed the model, what to withhold, how to keep it oriented across dozens of files — and why your AI gets dumber as your project grows.
Spec-first AI workflows
Plan, then build. Write the spec the AI works from, break features into shippable slices, and stop the endless "actually, change everything" loop that eats your weekends.
The production layer
Auth, databases, environment variables, error handling, and deployment. The unglamorous 20% that separates a localhost screenshot from a product people can pay for.
Debugging AI-generated code
Read it, trust it, or tear it out. How to review code you didn't write, isolate what broke, and feed the model the exact context it needs to fix it instead of flailing.
Ship, iterate, repeat
Get it live. Then handle real users, real feedback, and real changes — using AI to move fast without knocking over everything you already built.
Three doors, same room
Who DevFound is built for
The non-technical builder
You have the idea. You've never had the hands.
You're a founder, a marketer, an operator — someone who has been paying developers or waiting on them for years. You're leaving with the ability to build and ship the thing yourself.
The working developer
You can already code. You're not fast enough.
You've used AI and hit the ceiling where it stops helping and starts costing you time. You're leaving with a workflow that holds up on a real codebase, not a blank folder.
The career switcher
You want out. You need something to show.
Courses gave you knowledge and nothing to point at. You're leaving with deployed projects, a real workflow, and the vocabulary to defend both in a room.
What you get
It's not a course.
It's a room full of builders.
Courses end. Communities compound. Everything below lives inside the DevFound Skool — one link, one login, everything in it.
Join DevFound →- Structured classroom Step-by-step modules taking you from your first prompt to a deployed, working application.
- Real builds, start to finish Full walkthroughs of actual applications — including the parts that break and how they get fixed.
- Feedback on your code and your prompts Post what you're stuck on. Get unstuck by people who've already been through it.
- A prompt library you can steal Battle-tested prompts and patterns for planning, building, debugging, and reviewing.
- Tooling that stays current The AI landscape shifts monthly. What's taught shifts with it — you're not stuck with a course recorded two years ago.
- People building alongside you The single biggest predictor of whether you finish is whether anyone notices you stopped.
Who's behind this
Built by someone who actually ships
I'm Talha Awan. I've spent 6+ years building production-grade software — SaaS products and mobile apps that real people use, not portfolio pieces. I've watched AI go from a novelty autocomplete to the single biggest leverage multiplier in software, and I've watched almost everyone use it wrong.
I've shipped highly scalable mobile applications built with Flutter and Firebase — the kind where architecture decisions actually bite you at scale. Right now my biggest ongoing project is a deep agent-based SaaS product, which means I'm not teaching AI workflows from the sidelines. I'm using them on production code every single day.
I built DevFound because the gap isn't access to AI anymore. Everyone has the same models. The gap is knowing how to drive them — and that's a skill, not a subscription. That's what I teach here, and I'm in the community every week doing it.
Before you ask
Questions, answered
Do I need to know how to code?
No. That's the entire point. A large part of the community started with zero programming background — you'll learn to read and direct code long before you'd ever be able to write it from scratch. If you can already code, you'll move faster and go deeper, but you're not the prerequisite.
What actually is "vibe coding"?
Describing what you want in plain language and letting AI write the implementation, while you steer, review, and correct. Done badly it produces a fragile mess. Done well — with real prompt and context engineering behind it — it's the fastest way to build software that has ever existed. DevFound teaches the second version.
How much time do I need per week?
A few focused hours will move you. The material is built in shippable chunks rather than one 40-hour marathon, so you can make real progress in evenings and weekends. What doesn't work is watching without building — that's true here and everywhere else.
Which AI tools and models do you use?
The current best-in-class ones — and they change. The principles you'll learn (specificity, context control, spec-first planning, review discipline) transfer across every model and every editor, which is exactly why they're taught first. Tool-specific walkthroughs get updated as the tools do.
Is this just another course I won't finish?
Courses fail because nothing happens when you stop. This is a community with people in it, work getting posted, and feedback on what you build. You still have to do the work — nobody can hand you that — but you won't be doing it alone in a browser tab.
How do I join?
Hit any button on this page. It takes you to the DevFound community on Skool, where you can see the full details and get in. You'll have access to the classroom and the community the moment you're through the door.
Last thing
The tools are already on your machine.
The skill is the only thing missing.
Every week you wait, someone with the same idea and worse tools ships before you. Come learn to build the thing.