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Surviving as a Developer When Most Code Is Generated by AI - Learning Roadmap | Nemorize
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Learning Topics
This roadmap covers the following topics:
✅ Maintaining Architecture Under AI Pressure
- ✅ Architectural Erosion Patterns
- ⚪ Architecture Decision Records (ADRs)
- ⚪ The 'One Way to Do Things' Principle
- ✅ Guardrails That Scale
- ⚪ Custom Lint Rules for Invariants
- ⚪ The Approved Stack Concept
- ⚪ Strangler Pattern for AI Sprawl
✅ Mastering Code Review as Core Craft
- ✅ The Seven-Point Review Framework
- ⚪ Spotting Outdated Pattern Tells
- ⚪ Security and Edge Case Review
- ⚪ Domain and Business Logic Review
- ✅ Teaching AI to Generate Reviewable Code
- ⚪ Context Management Techniques
- ⚪ Generate-Review-Reshape Workflow
✅ Building Effective Testing Safety Nets
- ✅ Avoiding the AI Testing Trap
- ⚪ Behavior-Driven Test Design
- ⚪ Integration and Contract Testing
- ✅ Testing as Architectural Feedback
- ⚪ CI Gates That Actually Block
- ⚪ Property-Based Testing for Edge Cases
✅ Managing Dependencies and Technical Debt
- ✅ Dependency Discipline and Hygiene
- ⚪ Platform vs. Library Decisions
- ⚪ Dependency Health Evaluation
- ✅ Tech Debt Budget Management
- ⚪ Comprehension Audits
- ⚪ Automated Debt Detection
✅ Developing Essential Human Skills
- ✅ Deep Code Reading Mastery
- ⚪ System Thinking and Architecture
- ⚪ Pattern Recognition at Scale
- ✅ Platform and Domain Expertise
- ⚪ Staying Ahead of AI's Knowledge
- ⚪ Business Logic as Competitive Edge
- ⚪ Communication and Decision-Making
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