Learning Path
Foundations AI Skips
A prescription for those who can ship AI-generated code but can't explain why it works. This curated path walks you through the universal fundamentals that AI assistance tends to skip — readable code, refactoring, testing, and design — with the dependencies between books backed by cited primary sources. Each connection shows "why read these in this order," giving you the transparent grounding that AI cannot fake.
- Required Books
- 5 books
- Recommended Books
- 4 books
- Target Domains
- Software Design / Backend Development
- Milestones
- 5 stages
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Milestones
5 stages- 1
Basics: Writing Readable Code
Learn the principles of code a human can understand, before handing more of it to AI
- 2
Discipline: A Practitioner's Habits
Learn engineering habits that hold up over time, not reactions to whatever's in front of you
- 3
Design: Improvement and Refactoring
Improve working code without breaking it, and reshape the structure so it withstands change
- 4
Testing: Guaranteeing Behavior
Build the foundation to verify behavior, including code an AI generated for you
- 5
Beyond: Systematizing Design
Move from individual techniques toward the systematic judgment that architecture and domain design demand