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A hands-on, engineer-to-engineer workshop that teaches Claude Code with planning, tests, Git discipline, and production thinking. No random prompt gambling.
Claude Code for
Real Engineers
Project-driven · Payment after registration
Who is this course for?
Stop using AI like a chat agent. Start using it like a peer engineer.
Online courses are great for ideas and exposure. Real engineering needs more — judgment, structure, discipline, and confidence in real-world delivery.
This workshop is for engineers who want to move beyond prompts and demos, and learn to use AI in a way that holds up in production.
| Online Course | Hands-On, Engineer-to-Engineer |
|---|---|
| Learn by watching | Learn by building |
| Good for concepts and exposure | Built for practical execution |
| Limited real-time feedback | Direct guidance from practicing engineers |
| Easy to consume | Easier to internalize through live practice |
| Focused on features and prompts | Focused on workflow, judgment, and delivery |
| Shows what AI can do | Shows how to use AI properly in real engineering |
We train engineers to use AI like engineers.
Engineer to engineer
Taught by practitioners who build software daily, in a language developers actually respect.
Physical and hands-on
Not passive video watching. Not abstract AI theatre. Real workspace, real code, real practice.
Project-driven
The workshop centers around a real build flow, not disconnected demos or isolated exercises.
Production mindset
Requirements, implementation, tests, change requests, and iteration. Ship-ready, not demo-ready.
TDD-aware
Use AI to accelerate confidence, not bypass it. Test case generation and controlled iteration.
Structured Claude Code usage
Plan mode, context shaping, CLAUDE.md, Git discipline, CI/CD awareness, and engineering judgment.
7 modules. One real workflow.
Claude fundamentals
What an LLM is, token thinking, strengths, limits, and safe expectations.
Setup and tooling
Installation, VS Code integration, terminal mode, and workflow basics.
Planning before coding
Requirement gathering, context shaping, CLAUDE.md, and plan mode.
Building with discipline
Development kick-off, task decomposition, and safe delegation to AI.
Testing and feedback loops
Test case generation, TDD-oriented use, and controlled iteration.
Change management
Add features, adjust direction, handle revisions, and keep context intact.
Engineering operations
Git usage, commit hygiene, CI/CD thinking, and production readiness.
Two days. One practical workflow.
Before the course starts, instructors will share project choices with registered participants and ask them to vote. The selected project will be used during the workshop.
Foundation and development kick-off
- Claude fundamentals and safe expectations
- Setup, tooling, and VS Code integration
- Requirement gathering and planning
- Context shaping and CLAUDE.md
- Development kick-off with plan mode
Testing, features, and delivery
- Testing and feedback loops
- Feature work and change management
- Git workflows and commit discipline
- CI/CD thinking and production readiness
- Practical wrap-up and Q&A
Claude Code for Real Engineers
Learn from practitioners, not generic trainers.
Engineers who care about how software is actually built.
Engineering leader with deep experience in delivery management, agile methodology, and hands-on architecture. Has built AI-assisted development workflows and led teams shipping production software across startups and enterprises. Believes engineering discipline is the foundation that makes AI tools actually useful.
LinkedInFull-stack engineer turned technical founder with 18+ years of shipping software. Has built SaaS products from scratch, maintained hands-on coding practice while scaling teams, and developed deep expertise in dynamic software delivery, CI/CD pipelines, and growth engineering. Brings real-world implementation rigor to every session.
LinkedInReady to use Claude Code without
dropping your engineering standards?
Only 1 seat remaining in the current batch. Register now or join the interest list for the next one.
Frequently asked questions.
Why does this course exist?
Claude Code can dramatically boost developer output, but speed without discipline creates fragile systems and expensive rework. This course teaches engineers how to use AI inside a real engineering workflow — plan, build, test, and ship with accountability.
Is this a beginner course?
It assumes you have programming experience. No prior AI tool experience is needed, but you should be comfortable with a code editor, terminal, and Git basics.
Why is it in-person only?
Hands-on AI-assisted coding is much harder to teach effectively over video. The in-person format allows instructors to observe and correct workflow habits in real time.
What should I bring?
Your laptop with VS Code installed. Detailed setup instructions will be shared with registered participants before the course.
How does project voting work?
Before the course, instructors share a set of project choices. Registered participants vote, and the selected project is used during the workshop.
When do I pay?
Payment is completed after registration. You will receive payment instructions on-screen and by email immediately after registering.
What if the batch is full?
Register your interest and you will be notified when the next batch opens. Interest registrations are reviewed in order.
Can I get a refund?
Please review our refund and cancellation policy for full details on cancellations, transfers, and refunds.
Ask about the course.
Use the contact page for questions about batch timing, course fit, logistics, or enrollment.