💻Prompt Engineering for Devs
A deep dive into prompting from a developer's perspective — from CLAUDE.md to custom commands.
What you'll learn
- Understand context engineering and why it matters more than prompting
- Learn to write effective CLAUDE.md and project-level instructions
- Get templates for code generation, review, and QA
- Master agentic coding and custom commands
Who this is for
Developers who use AI tools daily and want to get the most out of them.
Prerequisites
Syllabus
Context engineering: the real skill behind prompting
Why 'what the model knows' matters more than 'what you tell it' — and how this changes your approach.
CLAUDE.md and project-level instructions
How to write a CLAUDE.md that shapes every AI interaction — from conventions to architecture.
Code generation prompt templates
Proven prompt patterns for feature implementation, bug fixes, and refactoring.
Agentic coding
Plan mode, auto-accept, multi-file changes. When to guide and when to let go.
Review and QA prompts
Security audits, performance reviews, a11y checks — systematic quality checks with AI.
Custom commands and command libraries
How to build reusable command libraries for your team — from slash commands to hooks.
Prompt debugging
Root-cause analysis for bad AI output. Systematic fixes when the model does the wrong thing.
We also offer live workshops and custom training for teams.
Learn more about team training