How To Solve It With Code
Released 3/2026
By Jeremy Howard and Eric Ries
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lessons ( 23h 24m ) | Size: 6.5 GB

Don't outsource your thinking to AI. Instead, use AI to become a better problem solver, clearer thinker, and more elegant coder.
Across 10 lessons, which you can watch at your own pace, we'll be learning to apply the SolveIt method to
Classic data structures and algorithms applied to coding puzzles, looking at some fun Advent of Code problems
More advanced methods applying a functional style of programming, accelerated algorithms using numpy and pytorch, graph algorithms, and so forth
Web programming using FastHTML, HTMX, and foundational HTML/HTTP/CSS basics
Writing, including long form writing (with Eric Ries), blog posts, articles, and actually useful meeting notes
Reading, including academic papers and Eric Ries's latest book
Using web APIs
System administration and devops
Web scraping
Building startups that take advantage of what we've learned (with Eric Ries).
These are normally each full-semester-length topics of their own, so naturally we can't cover them top-to-bottom in this 5 week course. Instead, we'll be providing an introduction to each topic, showing some key ideas, and explaining how to use Solveit to continue on your learning journey without our help. (But of course, you'll still have the community to help you.)
The course fee includes access to the Solveit platform (with no quotas) for 30 days. After this, you will be able to subscribe for $10/month to maintain access.
You can sign up anytime here.
Introduction
There is a grain of discovery in the solution of any problem.
- George Pólya (1945), How to Solve It
Ever tried to build something with AI and gotten stuck? You're not alone.
Something interesting happens when people start using AI for coding. At first, it feels magical - like Keanu Reeves in The Matrix suddenly knowing kung fu. You can create an app in 15 minutes that would have taken weeks before.
But then reality hits: you need to make changes, add features, fix bugs. The magic starts to fade, and many hit a wall they can't get past.
I want to share with you something that, for me at least, has turned out to be an effective antidote: the "solveit method", a modern approach to building software, writing, solving problems, and learning, inspired by George Pólya's How to Solve It and the fast.ai top-down education tradition of learning by doing.
We're running a 5 week course teaching this approach, and are providing access to our new software platform which supports it. Tl;dr-what's included (also see the course details page)
5-week (10-lesson) course teaching the Solveit method through real projects, web apps, data tools, article writing, and more (all sessions recorded, watch anytime)
Free access to all 16 lessons from the first preview course
30 days free access to the SolveIt platform: your private, cloud-based Linux dev/writing environment with AI integration
Live support from Jeremy, Johno Whitaker (fast.ai veteran), and the fast.ai team
Thriving Discord community, even more supportive than the fast.ai forums
Early access to Eric Ries's new book + lessons on how the Solveit method applies to writing, startups, and organizational learning. (Lean Startup and the Solveit method are two sides of the same coin: shorten feedback loops & learn fast.)
If you'd like to join us, click the Sign Up link in the top right. The cost is $500. Or read on, to find out more about what we're doing, and why.
Is this course for me?
The preview version of this course had folks from a wide variety of backgrounds. Although very experienced coders and AI researchers were the most common, attendees included a professor of English, high school students, physicists and astronomers, and more.
You should feel at least somewhat comfortable writing code, but you definitely don't need to be a full-time software engineer. You should be at least somewhat familiar with Python, but you needn't be an expert at it. Just like in fast.ai courses, you'll come away from the experience with a much deeper appreciation of programming ideas that weren't previously in your toolbox.
We found that the most successful students were those that wanted to understand their code, not just copy-paste. They had a deep desire to build enduring things, not just experiment. Some students had spent a lot of time with AI coding tools, and were already very aware of their limitations-but students with no background in AI coding told us they got a lot from the course too.