Chapter 5 Coding, Development, and Debugging with AI

Chapter 5: Coding, Development, and Debugging with AI.

Table of Contents

• Introduction
• The Biggest Coding Myth Among Students
• Why Final-Year Projects Often Stall
• Understanding What AI Does Best
• The AI-Assisted Development Workflow
• Stage 1: Planning Before Writing Code
• AI Prompt for Project Planning
• Stage 2: Learning New Technologies Faster
• Stage 3: Building Efficiently
• The Copy-Paste Trap
• Stage 4: Debugging with AI
• The Systematic Debugging Framework
• Stage 5: Optimising Code Quality
• Security and AI-Generated Code
• Stage 6: Documentation and Thesis Writing
• Common AI Development Mistakes
• Mistake 1: Blindly Trusting Generated Code
• Mistake 2: Prioritising Speed Over Understanding
• Mistake 3: Ignoring Documentation
• Mistake 4: Skipping Testing
• Mistake 5: Building Too Much
• The 80/20 Rule of Development
• Development Success Formula
• Development Action Plan
• Chapter Summary
• Key Takeaways
• References and Citations