The complete workflow for building real software with AI. Not prompting. Not vibe coding. Real engineering.
The tool was never the skill. Knowing how to think when you build with AI is.
$ /develop
→ Builds the feature.
You type "build the login page." You're impressed. Then new features break old ones, the AI contradicts a decision it made an hour ago, and you keep prompting, hoping it fixes itself. It doesn't.
This isn't an AI problem. It's a workflow problem. And no tool, plugin, or subscription fixes that.
The instinct is to give the model everything. The skill is knowing what to leave out, because the wrong 400 lines pull it toward the wrong answer with total confidence.
The model doesn't announce when it's lost the plot. Reading the exact moment output starts degrading, and resetting before it does, is a skill you build, not a setting you flip.
Catch the AI heading confidently the wrong way and steer it back onto the intended path without throwing the whole thing out.
Almost nobody teaches this, and not because they are hiding it, because most people teaching AI coding haven't figured it out yet either.
Loaded every session. They go stale, the window fills before you write a line of feature code.
collapses under its weightSomewhere in between and it took longer to find than I expected.
holds up as projects growMinimal context. That's just vibe coding with extra steps until things get complex.
breaks the moment it scalesOpen-source commands you install into your projects.
Type one line the skill reads your codebase and writes the prompt for you.
Most courses drill the 20% you rarely do. This one covers all three.
An idea, no code yet. The workflow challenges the idea before a line is written, then makes the technical calls for you.
The part others teach. We teach it better but it's not where the value is.
Add payments. Fix search. Build a dashboard. The workflow picks the next feature and runs the loop. No re-explaining, no scope creep.
What you actually do every day at work.
Add a feature without breaking anything. Nobody teaches this. /audit reads the codebase and learns its conventions before you touch a file.
The most underserved scenario in all of AI education.
Run only the workflows a change needs. Different changes take different paths.
Empty folder. Start from scratch, then create the project's context.
Existing project. Understand it first, then plan and build.
80k lines you didn't write. Learn the patterns, then move safely.
Diagnose why before fixing. Take the shortest safe path.
Nine commands you install into your projects. Pick one to see what it does.
/develop
Build track
Builds a feature from its spec, user interface or backend. For UI, it enforces your design system straight from a screenshot.
/develop checkout page
matched 12 components
to your existing tokens
Four quick checks. If the first three sound like you, this was built for you.
Yes: You use AI daily but feel like you're doing it wrong. This is exactly who it's built for.
Yes: Your projects work great for 30 minutes, then fall apart. The workflow fixes the structural problem behind that.
Yes: You're a working developer and the ground is shifting. You don't need to be senior. You don't need TypeScript.
Not you: You've never written a line of code. Not yet — start with the free JavaScript content first.
I ran your six-file context system with a model that's not even Claude-level, and the results were genuinely surprising. It made the model perform closer to Sonnet. That's when your point clicked — it's not about the model, it's about the structure you give it.
I use Claude Code daily and I still feel like I'm not doing it right.
Yesterday I was selected as a junior backend developer without having a degree. I just passed high school. I've learned so much of web development from you.
Big thanks to you, Adrian! You taught me from zero to pro, and now I've built my dream app and got a job. Plus, I just finished creating an AI that understands me perfectly. Thank you for everything!
I've learned production-level skills that I didn't gain from my work experience. We didn't do that in my previous company.
Most developers start AI coding the wrong way. They delegate everything, or they delegate nothing. Both are reactive.
I really love this approach to agentic coding. It boosts confidence of the developer, knowing exactly what to expect from tasks given to AI. Thanks Adrian.
I really love the way you teach — it feels energetic and engaging. You can say one line to teach a topic where others need five. My biggest regret is I couldn't get JSM Pro for lifetime when it was in beta. JSM Pro is a course every developer needs in this AI era.
Recently joined JSM Pro, and got my first real dev job in just a few months. It gave me exactly what I needed to switch careers. Staying subscribed for the community!
JSM makes the best real-world projects out there. I landed a good internship by showing one of the projects he made on his YouTube channel. Also, The Ultimate Next.js course is just unmatchable.
My dev career started by being thrown in the deep end without any previous training, and I struggled for about 2 years just doing YouTube tutorials. After going through all of your courses at my own pace, I found my confidence and abilities scaling to new heights. I recently landed an awesome new job with the exact specs I was looking for.
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Start with the free JavaScript content on YouTube first. This course assumes you already know the basics of coding. It teaches the workflow for building with AI, not programming from scratch.
They had the right system at the right time. This is that system.
Early-bird pricing for waitlist members only. It disappears after the launch window.
This is the lowest price this course will ever be.
This is the lowest price this course will ever be.