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Agentic Engineering: Build Software with AI Coding Agents
New
Rating: 5.0 out of 5(2 ratings)
6 students

Agentic Engineering: Build Software with AI Coding Agents

Learn to plan, build, test and ship real software with Claude Code, subagents, skills, MCP and spec-driven development
Created bySahinur Islam
Last updated 10/2026
English

What you'll learn

  • Plan, build and test real software with AI coding agents using the explore, plan, implement, verify, commit loop
  • Write a CLAUDE memory file, build subagents and a code reviewer, and create reusable skills for React, Laravel security and databases
  • Add hooks and MCP servers such as Playwright, and build and change features with spec-driven development using OpenSpec
  • Build a full-stack Support Desk app with Laravel 13, React and PostgreSQL, using GitHub pull requests, CI and git worktrees

Course content

5 sections • 36 lectures • 7h 44m total length

  • Course Trailer: What You'll Learn2:56

    All course code, prompts, skills, specs and the capstone app: https://github.com/SahinurDEV/agentic-engineering-course

  • From Autocomplete to Agent7:32
  • Claude Code 101: How Claude Code Works7:37
  • Claude Code Controls: Modes, Commands, Models, Shortcuts9:34
  • From Prompt to Commit: One Complete Session7:43
  • Context Management Basics11:01
  • Controlling Context and Writing Good Prompts11:28

Requirements

  • No prior AI coding agent experience needed: the course starts with how coding agents work and how to run a real Claude Code session

Description

This course contains the use of artificial intelligence.

AI coding agents can write a lot of code fast. The hard part is steering them so the code is correct, tested and something you would actually ship. This course teaches you that skill, step by step, from your first session with an agent to a finished full-stack app.

You will start with how coding agents work and how to run a real Claude Code session. Then you will learn to manage context, write prompts that work, and follow a simple loop: explore, plan, implement, verify, commit. You will write a CLAUDE memory file that keeps the agent on track, build your own subagents and a code reviewer, and create reusable skills for React, Laravel security and databases.

Next you will add hooks, connect MCP servers such as Playwright for browser testing, and use spec-driven development with OpenSpec to build and change features from a written spec. You will also see how to work with GitHub pull requests and CI, and how to run parallel work with git worktrees and Conductor.

The course ends with a capstone project: a Support Desk app built with Laravel 13, React and PostgreSQL. You will go from requirements to data modeling to core features and an admin area, with 133 passing tests and all 12 requirements done.

What you get:

  • 36 lectures, from a short trailer to the course finale

  • Every prompt, config file, skill, subagent and spec shown in the course

  • The full capstone source code in a public GitHub repository, linked in the first lecture

Who this course is for:

  • Developers who want to use AI coding agents on real projects, not just demos

  • Full-stack and web developers who want a repeatable workflow with Claude Code

  • Anyone who wants AI-written code that is planned, tested and reviewed

Screens in this course are drawn walkthroughs with an AI voiceover.

The scripts, slides and AI voiceover were produced with the help of AI tools, and the course code examples were generated with AI coding agents as part of what the course teaches.

Who this course is for:

  • Developers who want to use AI coding agents on real projects, not just demos
  • Full-stack and web developers who want a repeatable workflow with Claude Code
  • Anyone who wants AI-written code that is planned, tested and reviewed

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