AI-Assisted Software Development
Using AI coding assistants responsibly — planning, prompting, reviewing, testing and keeping humans accountable for quality.
- AI tools
- Productivity
- Code review
Planned: A planned subject in the curriculum roadmap. The outline below is a proposed structure, not a finished course.
Learning outcomes
By the end, learners will be able to:
- 01
Integrate AI assistants into a professional workflow
- 02
Write effective, context-rich prompts for coding tasks
- 03
Review and test AI-generated code critically
- 04
Manage security, licensing and privacy considerations
Proposed module outline
A proposed structure — refined during curriculum development.
Where assistants help and where they don't.
Context, constraints and iteration.
Verifying correctness and catching subtle bugs.
Secrets, data privacy and licensing.
Build a small feature end-to-end with AI support.
Course enquiry
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