From Concept to Production with Claude and Guinness, or How AI Brought the Fun Back to Development [ukr]

When you build a product yourself alongside an AI agent, the code is no longer the bottleneck. The agent writes code quickly but makes mistakes with confidence: it cites laws that don’t exist or invents founders for the “About Us” page. I’ll share how I went from an idea in a bar to Jurly—a live, two-sided legal marketplace with AI-powered insights for clients and a workspace for lawyers—and what I had to build around the agent to make its “done” status trustworthy.

Let’s break it down:
• - How one person at Claude Code takes a product from concept to launch: specs, TDD, dev reviews, AGENTS.md, and personal skills for verifying specs and code
• - AI harness
• - Hallucinations in the product: a nonexistent law, a real article with fictional content, and a “pure hallucination” that even the automated check missed; how RAG, code-based citation verification, a critic, and a golden set reduce the risk
• - The cost of this approach: accountability without a team, PII and security, the agent’s error log—and what worked and what didn’t

Key takeaway: An AI system is only as reliable as the checks surrounding it. An engineer’s role is shifting from writing code to designing these checks—from software engineer to product engineer.