Claude Code For Developers: Real Codebases, Real Workflows

Claude Code For Developers: Real Codebases, Real Workflows
Published 7/2026
Created by Azeem Ullah
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 29 Lectures ( 3h 23m ) | Size: 1.8 GB​

Use Claude Code like a senior engineer: ship features, debug, test, refactor and automate CI/CD on real production code
What you'll learn
Drive the senior engineer loop with Claude Code: plan, constrain, generate, verify - on a real production codebase
Teach Claude your codebase with a project memory file, manage context like a budget, and configure permissions and safety rails
Ship production features and refactor a God class safely behind a characterization-test gate
Debug exception storms, race conditions, memory leaks and N+1 queries with an AI agent
Automate git workflows, PR reviews and CI with headless Claude in GitHub Actions, plus Docker deployment
Extend Claude Code with MCP servers, slash commands, subagents, hooks and skills
Requirements
You are a working developer (any stack), comfortable with a terminal and git
Docker Desktop installed to run the ShopFlow practice codebase locally
A Claude subscription (Pro) or Anthropic API key for hands-on practice; .NET familiarity helps but is not required
Description
Most AI coding courses show someone building a toy app in an empty folder. Your job does not look like that.
You inherit services other people wrote. You fix bugs under time pressure. You review code before it ships to production, where mistakes cost money. This course teaches the missing skill: how to use Claude Code, Anthropic's AI coding agent, on real software, with the discipline of a senior engineer.
You will spend the entire course inside ShopFlow, a deliberately imperfect .NET 8 e-commerce backend with three services, a God class, a race condition, a memory leak, swallowed exceptions and missing tests. Every flaw is planted on purpose. Every flaw becomes a lecture.
What you will learn to do
Drive the senior engineer loop: plan, constrain, generate, verify
Teach Claude your codebase with a CLAUDE-md memory file file and manage context like a budget
Map an unfamiliar codebase in fifteen minutes and generate docs that stay true
Ship production features: CRUD endpoints, JWT auth, validation, hardening
Refactor a 900-line God class safely behind a characterization-test gate
Generate tests that test behavior, not implementation: unit, integration, Playwright
Debug like a pro with an agent: exception storms, race conditions, deadlocks,
memory leaks, N+1 queries
Automate the team: git workflows, PR review, headless Claude in GitHub Actions,
Docker
Extend Claude Code: MCP servers, slash commands, subagents, hooks and skills
Ship a complete capstone feature end to end and know when NOT to use the agent
The demos are .NET 8 because production examples beat generic ones, but every workflow is stack-agnostic: Java, Node, Python and Go developers apply the same discipline directly.
No AI hype. No prompt-engineering theory. Just the workflows that make the tool earn its keep on Monday morning.
Who this course is for
Professional backend, full-stack and DevOps engineers who want AI to accelerate real work, not demos
Developers and tech leads maintaining existing production codebases and deciding how to adopt AI coding agents safely
NOT for complete beginners to programming or anyone looking for a what-is-AI course
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