Original Summary

I started Stepwise Foundry because I wanted a more hands-on way to learn programming. Reading documentation wasn't enough for me; I needed to write code, see what happened, and explain it. I used Codex to help build the app and the initial curriculum. It's now a free, MIT-licensed local programming workbench with 408 lessons across Rust, Python, PyTorch, and Hugging Face. The tracks have commented starters, links to official documentation, hints, worked examples, real local checks, and progress you can export. One thing I changed while using it was breaking larger instructions into smaller sections. There's an optional mentor review workflow whose first built-in sequence covers beginner Rust: you submit a prediction or explanation, and a mentor reviews that exact response before the next section opens. The wider curriculum stays freely accessible, and any track's report can be used to get feedback outside the app. I'm open to contributors who want to help expand this for everyone. New lessons and tracks, more guided projects, curriculum reviews, accessibility improvements, and bug fixes are all welcome. You can open an issue or merge request on GitLab. I'm a learner, and the content is AI-assisted, so reviewing accuracy and how well the exercises actually teach would be especially helpful. The app runs locally without accounts or model API keys; it's intended for trusted code on your own machine. Source, MIT license, screenshots, and setup: https://gitlab.com/koraji95coder/stepwise-foundry For anyone who has built a learning tool: what helped you tell whether an exercise taught the concept, rather than just getting someone to pass its checks?   submitted by   /u/OnePrize2387 [link]   [comments]

  • 情报分类：商业与市场研究
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  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/18 08:30:49