Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
The New Stack·Sep 3·5 min read
It cost $33 to build a virtual Union Square. Here’s what the agents got wrong.
TL;DR
PhiloLabs successfully built a 3D virtual model of San Francisco's Union Square using AI coding agents, costing only $33. However, the agents struggled to identify visual issues that traditional testing could catch.
✦ Why It Matters
Consider integrating automated testing tools like Playwright to catch visual issues in your projects.
Key Takeaways
- Utilize AI agents for complex 3D modeling tasks.
- Incorporate visual testing tools like Playwright for accuracy.
- Review outputs with specialized agents for better results.
- Be aware of data gaps in geographic modeling.
How It Works
PhiloLabs divided the reconstruction task among subagents, each responsible for different aspects like geographic research and building geometry. Once the initial model was running, Playwright automated the visual testing process by capturing screenshots from fixed camera positions, allowing for systematic comparison with real-world images.