Description
Building real applications with AI coding assistants — scoping, prompting, reviewing generated code, and the discipline that keeps it maintainable.
How to build working software with AI assistance without ending up with a codebase nobody understands. It covers scoping a project so an assistant can help, prompting for code that fits your architecture, reviewing generated code properly, testing what you didn’t write, and knowing what you must understand yourself.
Who this is for
- Non-developers and career changers building their first real applications
- Developers adopting AI assistants and wanting to do it well
- Founders prototyping without a technical co-founder
- Anyone who built something with AI help and can no longer change it safely
What you’ll be able to do
- Scope a project into pieces an assistant can handle well
- Prompt for code that fits an architecture rather than isolated snippets
- Review generated code well enough to catch the plausible-but-wrong
- Test code you didn't write yourself
- Recognise the parts you must genuinely understand to maintain it
- Ship something real and keep being able to change it
Syllabus — 5 modules, 30 study hours
- What AI assistants are good and bad at (4 hrs)
- Scoping and architecture (6 hrs)
- Prompting for code (6 hrs)
- Reviewing and testing what you didn't write (8 hrs)
- Shipping and maintaining (6 hrs)
Includes a 5-week study plan, practice tasks with stated learning outcomes, an honest readiness self-assessment and a progress tracker.
Independent study material. Completing it does not award a certification or credential.
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