How I use AI smartly in development

I don't use AI in development as a magic wand, but as an accelerator. The difference is in the mindset.

Where it genuinely helps

• Repetitive code: boilerplate, data models, the first version of tests.
• Code analysis: debugging, refactoring ideas, security review.
• Content: first draft copy that a human then edits into its final form.

Where a human is needed

Architecture, business logic and the quality gate are always human decisions. AI suggests, and I'm accountable for the result.

My principle

Every AI-related step is transparent and supervised. Speed can never come at the cost of quality: the system has to work, not just get finished.