Production-Grade AI Coding with Claude
Production-Grade AI Coding with Claude
Go from zero to running autonomous coding loops that ship real features. You'll set up Claude Code properly, learn how to steer it with project context, and scale it into your daily engineering workflow.
Hosted by
Amr Mohamed
Software Engineer
What you'll learn
Set up Claude Code with project context, rules, and custom skills- Use the Plan, Execute, Clear loop to build features end to end
- Write AGENTS.md files and PRDs that actually steer output
- Run the Ralph Loop for autonomous, human-supervised coding
- Plan and build larger systems with tracer bullets and AI-assisted architecture
- Wire up CI, tests, and review skills into a tight feedback loop
This course includes:
Course requirements
Claude code installed- A real codebase to practice on (personal project or work repo)
- Basic programming experience in any language
- Comfortable with git and the terminal
Description
A 3-Week Intensive Cohort with Amr Mohamed
AI tools can generate code. But most engineers are still babysitting them. You ask for a feature, get half a solution, manually fix the gaps, and something else breaks. The cycle repeats. You're doing the engineering while AI acts as a glorified autocomplete that needs constant supervision.
This cohort changes that.
Over three intensive weeks, you'll learn how to design structured AI engineering systems that operate with controlled autonomy. Not better prompts. Actual execution loops, validation layers, and AI-optimized documentation that let models perform real engineering tasks under guardrails you define.
What This Course Is Really About
This is a systems course, not a hype course.
You will design workflows where AI executes tasks in loops instead of one-shot prompts. Where it validates its own output through tests and runtime feedback. Where it generates structured pull requests and operates within clear architectural boundaries.
The goal is not full automation. The goal is intelligent delegation.
You'll learn how to balance human-in-the-loop review with autonomous execution so AI handles the repetitive, mechanical work while you focus on architecture, judgment, and high-leverage decisions. By the end, you'll have a working framework for deciding when AI should run supervised and when it can safely operate on its own.
What You'll Build
Everything happens on your own repository. No sandboxes.
AI Feature Executor: Convert backlog items into structured, AI-executable tasks using a production-ready PRD framework
Self-Correcting Feedback Loop: Connect AI to tests, linting, and runtime validation so it detects and fixes its own mistakes
Autonomous PR Workflow: Automate feature execution, validation, and pull request creation with structured review checkpoints
These are not toy examples. Everything is designed to be practical, production-grade, and extensible beyond the cohort.
What You'll Walk Away With
Concrete assets you'll keep using long after the cohort ends:
A production-ready AI-optimized PRD template
A feedback loop architecture that integrates testing and validation
A structured AI workflow playbook for personal and team projects
Clear decision-making models for supervising and scaling AI execution
You'll stop prompting randomly and start designing execution systems intentionally.
How It Works
Every week has a live session where we build together, plus open office hours where you bring your questions, blockers, or code and we work through them in real time. You also get a 1:1 session with Amr to go deep on your specific codebase, workflow, or team setup. This isn't a course where you watch and forget. You show up, you build, you get direct feedback.
Weekly live session: Structured lesson with hands-on coding. Recorded if you can't make it.
Weekly office hours: Open Q&A. Bring your repo, your bugs, your weird edge cases. Nothing is off limits.
1:1 with Amr: A dedicated session to review your setup, debug your workflow, or plan how to roll this out on your team.
Who is this course for
Frontend, backend, and full-stack engineers who are comfortable reading and debugging code. Especially valuable for senior engineers and tech leads who want to leverage AI without sacrificing engineering rigor.
If you're frustrated with manually steering AI tools, constantly correcting partial outputs, or unsure how to integrate AI into real production workflows, this is built for you. This is not beginner programming training. It does not promise shortcuts. It teaches structured thinking.
Senior engineers wanting AI leverage
Tech leads exploring AI workflow
Engineers frustrated with manual AI prompting
Who is this course for
Frontend, backend, and full-stack engineers who are comfortable reading and debugging code. Especially valuable for senior engineers and tech leads who want to leverage AI without sacrificing engineering rigor.
If you're frustrated with manually steering AI tools, constantly correcting partial outputs, or unsure how to integrate AI into real production workflows, this is built for you. This is not beginner programming training. It does not promise shortcuts. It teaches structured thinking.
Senior engineers wanting AI leverage
Tech leads exploring AI workflow
Engineers frustrated with manual AI prompting
Course syllabus
3 Weeks • 3 Modules • 12 lessons (5 live lessons)
Designing AI-Executable PRDs
AI Workflow Playbook
Building the Execution Loop (Implementation Walkthrough)
Walkthrough + live coding + Q&AWeek 1 Office Hours
Project 3: Autonomous PR WorkflowAmr Mohamed
Software Engineer
Amr is a software engineer at AWS, based in Berlin. 8+ years across frontend and full-stack, these days mostly shipping production systems that have to stand up to real teams and real traffic, not just look good in isolation.
He is founding engineer behind zomra.io, an online learning platform built end-to-end with AI-assisted workflows.
He is also the founder of stackmy.ai and tadween.me. Across all of these, AI isn't a side tool for him, it's the core of how he builds. He designs systems where AI handles execution under structured guardrails, and has shipped production software this way at scale. This course is a distillation of how he actually works every day.
Frequently Asked Questions
If you still have questions, contact instructor or Zomra on LinkedIn
All live sessions are recorded and available for replay within 24 hours. You can watch them at your convenience.
You're one step away from learning new skills, achieving your career goals, & earning a certificate.
Certificate of Completion
Production-Grade AI Coding with Claude
Graduated from Production-Grade AI Coding with Claude at Zomra, with strong grasp of its fundamentals, completed all coursework and activities.