As a senior software engineer, I’ve been integrating AI into my daily workflow, and it’s had a profound impact on how I develop, test, and debug code. Here are 10 insights I’ve learned along the way.
1. AI Can Write Tests More Accurately Than Humans
Using AI to write tests has saved me time and caught bugs that I wouldn’t have found otherwise. By getting a second perspective, I can ensure my code is more reliable.
2. Be Cautious of AI’s Tendency to Reinforce Existing Code
While AI tools can suggest improvements, they can also preserve flawed architectures. It’s essential to challenge the default and push for better patterns.
3. Choose the Right AI Tool for Your Needs
I’ve found that different AI tools suit different needs. Windsurf is great for predictable suggestions, while Cursor offers quick iteration and surprises.
4. Building Trust with AI Requires Time
Initially, I was skeptical about relying on AI suggestions, but trust builds slowly. By articulating problems clearly and working with the tool, I can stay in control while benefiting from its strengths.
5. Debug Panels Can Be a Game-Changer
Temporary debug panels help me visualize state values and identify issues more efficiently. It’s like having a mini-lab for figuring out what’s going wrong.
6. Refactoring Legacy Code with AI Can Save Time
AI shines when it comes to tedious tasks like refactoring legacy code. By reviewing the changes carefully, I can ensure my code is better and still maintain ownership.
7. Ownership Remains Crucial Even When Using AI
Even when AI writes the code, it’s still my responsibility. I must understand every change and make sure it aligns with my goals.
8. Prompting Yourself Before Prompting AI Helps Sharpen Ideas
Before relying on AI suggestions, I take a moment to sketch out what I think. This helps me connect with my ideas and ensures I’m not outsourcing the hard work.
9. Know When to Switch Off AI and Trust Your Instincts
Sometimes, it’s essential to shut off AI tools and trust your own judgment. It reminds us that AI is just a tool and we must re-center ourselves when needed.
10. AI Enhances Productivity, Not Replaces Engineers
AI enhances our productivity by freeing up time for more critical tasks like judgment, communication, and understanding business needs. The future of development still depends on human creativity, responsibility, and collaboration.
Source: https://thenewstack.io/10-insights-from-integrating-ai-into-my-coding-workflow