Develop Yourself #235: 2 Skills You Don't Need Anymore In the AI Era and 3 More You're Going to Need
May 1, 2025
The landscape of software development is rapidly changing due to AI. Traditional skills like basic coding are losing relevance, while new competencies such as debugging AI-generated code are becoming essential. Developers now face challenges in integrating advanced tools, emphasizing the importance of critical thinking and adaptability. This is not just about keeping up; it's an opportunity for significant growth in a tech-driven world.
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Use AI to Generate Tests
- Don't write tests from scratch anymore; use AI to generate your tests quickly.
- Focus on deciding what to test and validate AI-generated tests for relevance and correctness.
Skip Hand-Coding Configurations
- Avoid hand-coding configuration files and scaffolding; use templates and AI tools instead.
- Learn good architecture and patterns to guide AI-generated code towards a robust app structure.
Write Code Manually Initially
- When learning to code, write code manually to build debugging skills.
- Relying too much on AI early can leave you stuck when issues arise and limit your problem-solving.
