Building an AI Learning SaaS in Just 2 Days with Next.js, Supabase, and Claude API
product#saas📝 Blog|Analyzed: Apr 13, 2026 07:03•
Published: Apr 13, 2026 04:19
•1 min read
•Zenn ClaudeAnalysis
This development log provides a thrilling look into the incredible speed of modern AI application deployment. By brilliantly leveraging the Claude API alongside Next.js 16 and Supabase, the creator transformed the common problem of disconnect between technical reading and actual coding into an interactive learning platform. It perfectly highlights how powerful Large Language Models (LLMs) can be when used to personalize education and bridge the gap between theoretical concepts and a developer's own codebase.
Key Takeaways
- •CodeSensei is an AI learning platform built in just two days, using user-provided GitHub repositories to teach software engineering concepts drawn from 95 technical books.
- •The platform runs on a cutting-edge tech stack including Next.js 16, React 19, Supabase, Upstash Redis, and utilizes the Claude API for highly contextual educational interactions.
- •The core philosophy is to prioritize experiential learning over static analysis, allowing users to deeply understand coding principles like those in 'Clean Code' directly through their own projects.
Reference / Citation
View Original"The problem wasn't 'the motivation to read books,' but rather that the examples in the books and my own code were not connected. So, what if I replaced the book's examples with my own code? That is the concept behind CodeSensei."
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