10 Insights from Integrating AI into My Coding Workflow
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A senior software engineer shares 10 practical insights from integrating AI tools into daily development work. Key lessons include using AI for test writing to catch blind spots, understanding how AI can reinforce existing patterns versus driving innovation, comparing Windsurf and Cursor development environments, building trust through structured workflows, leveraging debug panels for troubleshooting, maintaining code ownership despite AI assistance, and recognizing when to work without AI. The author emphasizes that AI enhances productivity but doesn't replace human judgment, communication skills, or business understanding.
Table of contents
1. Using AI to Write Tests2. AI Cementing Patterns vs. Driving Innovation3. Windsurf vs. Cursor: First Impressions4. Building Trust in the AI Workflow5. Debug Panels as AI Accelerators6. Refactoring with AI as a Partner7. Maintaining Ownership for the Code8. Prompting Yourself Before Prompting AI9. When to Use the Force10. The Myth of AI Replacing EngineersSort: