The Shift in How I Work
AI tools haven't replaced my thinking — they've amplified it. I spend less time on boilerplate and more time on architecture and business logic.
My Daily Workflow
- Architecture first — I design the solution in my head (or on paper) before touching AI
- Copilot for boilerplate — CRUD endpoints, DTOs, mapping code
- Claude for complex logic — algorithm design, edge case analysis, code review
- n8n for automation — repetitive tasks, notifications, data pipelines
What AI Does Well
- Generating boilerplate (controllers, DTOs, migrations)
- Writing unit tests from existing code
- Explaining unfamiliar code or APIs
- Suggesting edge cases I might have missed
What AI Gets Wrong
- Business domain knowledge — it doesn't know your domain
- Architecture decisions — it optimises locally, not globally
- Security — it often omits auth checks in generated code
💡
AI is a force multiplier, not a replacement. The developers who thrive are those who use AI to go faster while applying their own judgment on what matters.
My Prompt Template for Code Generation
Context: [describe the system and tech stack]
Task: [specific thing to generate]
Constraints: [must use X pattern, must handle Y edge case]
Do NOT: [common mistakes to avoid]
Output format: [C# class / SQL / YAML etc]Conclusion
AI Won't Replace Developers. But AI-Augmented Developers Will Replace Those Who Don't Adapt.