专为开发者设计的AI辅助软件工程课程，涵盖7阶段工作流，30小时实战，4大技术栈，助你掌握Claude Code与CI/CD，构建商业级应用。
原始标题：Claude Code for Developers: 4 Apps, 4 Stacks, 1 Workflow
本课程针对有基础的开发者，旨在将“提示词碰运气”升级为严谨的 7 阶段 AI 辅助软件工程工作流，围绕 Claude Code、MCP 协议及自动化钩子，构建标准化生产体系。在 30 多小时的实战中，学员将跨越四大技术栈，完成包括 Next.js 看板、RAG Agent、MERN 电商及 React Native 记账 App 在内的商业级项目，掌握将 AI 嵌入现代工程团队的实力。
Published 8/2026
Created by Ghulam Abbas
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 97 Lectures ( 13h 3m ) | Size: 7.7 GB
Ship Next.js app, LangChain AI agent, MERN ecommerce store and an Android app on Google Play using Claude Code and CI/CD
What you’ll learn
⚡ Run a seven-phase workflow that works on any stack
⚡ Build a real AI agent with RAG, LangChain and vector search
⚡ Ship a signed Android app to Google Play Console
⚡ CI/CD with preview environments and human-reviewed merges
⚡ Pull live library docs so Claude never guesses an outdated API
⚡ Delegate work to Claude Code sub agents in isolated contexts
⚡ Wire up MCP servers for live docs and AI-driven browser QA
⚡ Build custom Claude Code skills that plan, build and test features
⚡ Automate your standards with pre and post tool-use hooks
⚡ Design four ways, from screenshot to clickable mobile prototype
⚡ Build and deploy four full applications, start to finish
⚡ Auth four ways: NextAuth, Clerk, JWT roles, Supabase
⚡ Unit tests plus a committed end-to-end suite in CI
⚡ Deploy on Vercel, Railway, Heroku and Google Play
Requirements
❗ Comfortable writing JavaScript or TypeScript
❗ Familiarity with React and the command line
❗ A Claude account with access to Claude Code
Description
The code was never the hard part.
You describe a feature, the AI writes it, and it works. Beautiful. You ask for the next one, and somewhere in those two hundred lines it quietly invents asecond way to handle authentication. Three features later: three naming conventions, two error patterns, zero tests, and a growing suspicion that you’re no longer driving.
The demos always stop at the moment the code appears.
Here’s what nobody tells you. The developers getting real leverage out of AI aren’t writing better prompts. They’re running aprocess. Plans before code. Docs the AI actually reads. Tests before the pull request. A human on the merge button, every time.
This course teaches that process, then runs it four times on four different stacks, because a workflow that only works on Next.js isn’t a workflow, it’s a coincidence.
Every app ships. Not to localhost. To a live URL, and in the final project, into theGoogle Play Store.
== 4 Apps, 4 Stacks, 1 Workflow ==Linkbase(Nextjs, NextAuth, MongoDB, on Vercel) Drop a screenshot into Claude Design, watch a design system fall out of it. Then build auth, a handle system, a dashboard, a public profile. This is where the foundations go in: your first CLAUDE md, a docs system that keeps AI output consistent, custom skills, your first hook, AI-driven QA with Playwright MCP, and a preview URL on every pull request.
grep-pdf(FastAPI, React, pgvector, LangChain, on Railway) Upload an eighty-page PDF. Ask a question. Get an answer with a citation chip that jumps tothe exact page it came from. Real RAG, built from nothing: parsing, chunking, embeddings, vector search, streamed cited answers. This is also where you stop doing everything yourself and build acode-reviewer sub agent that reviews your branch in isolation against your own docs
Kicks(MERN, TypeScript, Stripe, on Heroku) A store that actually takes money. Catalog, per-size stock variants, cart, Stripe and cash on delivery, plus the half most courses skip: a full admin panel behind role-based access. This is the stress test. Zero repetition, parallel plan mode, and QA that levels up to acommitted end-to-end suite running in CI.
Spendly AI(React Native CLI, Supabase, on Google Play) An expense tracker you can talk to. Design it as a clickable prototype first, tap through the navigation before any code exists. Supabase with row-level security enforced at the database. An Edge Function keeps your API keyoff the user’s device. Then ship it: signed AAB, GitHub Actions, Play Console internal testing, human promotion to production.
Four apps. Four stacks. One workflow you’ll still be using long after the last lecture. Enroll today.
Who this course is for
⭐ Developers who already code with AI and want a disciplined workflow instead of prompt-and-hope
⭐ Engineers joining teams where AI-assisted development is now the baseline
⭐ Full-stack developers who want one workflow across web, backend and mobile
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