The development landscape is evolving rapidly, and AI literacy isn’t optional anymore—it’s essential.

Here’s what I’ve learned about integrating AI into my workflow:

Productivity gains are real. Tools like GitHub Copilot and Claude have reduced my time spent on boilerplate code by 40%. But the real value? They free me up to focus on architecture and problem-solving.

It’s about augmentation, not replacement. AI handles repetitive tasks while I make the critical decisions. Code review, testing strategies, and system design still need human expertise and judgment.

The learning curve pays off. Understanding prompt engineering, knowing when to trust AI suggestions, and learning to validate outputs effectively—these are becoming core developer skills.

Stay curious, stay relevant. The developers thriving today aren’t those who resist AI, but those who learn to leverage it effectively while maintaining code quality and best practices. and last but not least

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What’s your experience with AI tools in development? I’d love to hear what’s working for your team.