Artificial Intelligence has changed the way we write software, but one thing has become clear: AI is a collaborator, not a replacement.
After using coding assistants for months, I've realized they're best at handling repetitive tasks:
- Generating boilerplate code
- Explaining unfamiliar APIs
- Refactoring existing functions
- Writing documentation
- Creating unit tests
- Finding bugs faster
Where AI still struggles is understanding the bigger picture. It doesn't know your product vision, business requirements, or why one architectural decision is better than another. Those are still human problems.
The most productive workflow isn't asking AI to build an entire application from scratch. It's treating AI like an experienced teammate that can help with implementation while you stay responsible for the design and direction.
The developers who will thrive over the next few years won't necessarily be the ones writing the most code—they'll be the ones asking better questions, validating AI-generated solutions, and combining technical knowledge with critical thinking.
AI is changing software development, but it's also raising the value of good engineering judgment.
How has AI changed your development workflow? What's one task you now almost always delegate to an AI assistant?
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