How AI Is Changing the Way We Write Code

A year ago, I was skeptical. "It's just autocomplete on steroids," I thought. Then I started using Copilot daily, and everything changed.

What Actually Changed

1. Boilerplate Disappeared

The mundane stuff — CRUD templates, test scaffolding, type definitions — now writes itself. I spend less time on repetitive code and more time on actual architecture.

2. Exploration Got Faster

Trying a new library? Instead of reading 50 pages of docs, I ask: "Show me how to paginate with Prisma." Instant example, tested context.

3. Code Review Got Smarter

AI catches patterns I miss: unused imports, inconsistent naming, potential null refs. Not a replacement for human review, but a great first pass.

What Still Surprises Me

// I asked Copilot: "parse ISO date string in TypeScript"
const parseDate = (isoString: string): Date => {
  return new Date(isoString);
};

// It suggested: "use Zod for schema validation instead"
import { z } from "zod";
const dateSchema = z.string().datetime();

It didn't just fix my code — it suggested a fundamentally better approach.

The New Workflow

1. Describe the problem → AI suggests architecture
2. Implement the skeleton → AI fills boilerplate
3. Refine the logic → Human reviews and adjusts
4. Test → AI generates edge case tests
5. Document → AI explains what I built

What's Coming Next

The next wave isn't better autocomplete — it's agentic AI that can plan, execute, and debug across entire projects. We're already seeing early versions.

The developers who thrive will be those who learn to collaborate with AI, not compete against it.

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What's your experience with AI coding tools? Reply with what changed your workflow most.