Coding with Coding Agents
Master AI-Powered Development
Khalid Alharthi
AI Expert | Engineer
Duration
20 hours
Sessions
10 sessions
Platform
Zoom
Language
Arabic
About This Course
This course teaches you how to work effectively with AI coding agents. You'll learn the agent loop, context engineering, verification mindset, and practical workflows used by professional developers. Each session combines theory with hands-on practice. You'll build, debug, refactor, and deploy code using AI agents as your assistant.
What You'll Learn
- Understand the agent loop: Plan, Execute, Observe, Reflect
- Master context engineering for better results
- Develop verification mindset: Tests, Types, Diffs
- Apply systematic debugging workflows
- Refactor code safely with golden tests
- Build custom MCP tools to extend agent capabilities
- Choose the right AI tool for each task
Syllabus
Why This Changes Everything
The agent loop, LLM basics, first AI-assisted bug fix
Context Engineering
CLAUDE.md, task summaries, token budget
Verification Mindset
Tests, types, diffs, and reviewing AI code like a pro
Debugging Workflow
Reproduce, minimize, hypothesize, patch, regression test
Week 1 Review
Diff practice, peer review, consolidation
Refactoring Patterns
Golden tests, mechanical changes, controlled scope
Claude Code Deep Dive
Skills, permissions, workflows, best practices
MCP: Concepts & Building
Building custom tools for your agent
The Agent Landscape
App builders, IDE-integrated, terminal tools
Capstone Project
Build a complete feature showcasing all learned skills
Requirements
- Basic programming knowledge (any language)
- Familiarity with command line / terminal
- Git basics (clone, commit, push)
- Computer with Node.js installed
Who This Is For
- Developers looking to boost productivity with AI
- Engineers interested in AI-assisted development
- Tech team leads evaluating AI tools
- Anyone who writes code and wants to work smarter
Early bird pricing ends January 20
Questions? Contact Us