A multi-model workflow for building a coding education app
A coding education app called Learn Code was built by splitting work across several AI models. Sonnet handled research, Opus created lessons and quizzes, Fable wrote code inline, worked on the interface, and GPT 5.5 reviewed the code. The app was released as and packaged with Docker.
It includes skill paths, exercises, and optional local . The main problem was that is not enough if the builder cannot understand mistakes or the logic behind the code.
Key points
- Different AI models were assigned different jobs instead of one model doing everything.
- Sonnet, Opus, Fable, , and GPT 5.5 were used in the workflow.
- The result was Learn Code, a coding education app.
- The app includes skill paths, exercises, and optional local .
- The item mentions token saving, but does not provide measured cost savings.