How AI Agents Are Changing How We Build Software
AI agents aren't replacing developers. They're making good developers faster. Here's how we actually use them at Vision Labs.
What Works Today
Code generation for boilerplate. Setting up API routes, database schemas, component scaffolding — AI handles this in seconds. What used to take 30 minutes of copy-paste-modify is now a prompt away.
Code review and bug detection. AI catches things humans miss: edge cases, type mismatches, security vulnerabilities. It's like having a tireless junior reviewer who's read every Stack Overflow answer.
Documentation. Nobody likes writing docs. AI generates comprehensive documentation from code comments and function signatures. We review and refine, but the heavy lifting is done.
What Doesn't Work (Yet)
Architecture decisions. AI can suggest patterns, but understanding the business context, scale requirements, and team constraints that drive architectural choices — that's still a human job.
Novel problem solving. When you're building something genuinely new, AI's pattern matching breaks down. It's great at variations on known problems, less great at true innovation.
Client communication. Understanding what a client actually needs vs. what they say they need is an art. AI can draft emails, but the strategic thinking behind them is human.
Our Workflow
We pair AI agents with senior developers. The AI handles velocity — generating code, running tests, suggesting optimizations. The human handles direction — choosing what to build, how to architect it, and when to ship. It's a multiplier, not a replacement.