Exploring a Geo Data Tool Built with AI-Assisted Development and Real API Discovery

I’m working on a project called [FindGeoData.dev](http://FindGeoData.dev) — a searchable hub that helps you discover geospatial APIs and datasets without hunting through scattered docs or portals. I built it using an iterative workflow where I leaned on AI to generate parts of the site, wire up search filters, and prototype the UI faster, especially when it came to fetching and categorizing API metadata. I wasn’t just auto-generating final code — I was guiding the prompts, testing what worked, and adjusting interactively, which felt very much like *flow state building with assistive tools.*

Some technical bits:

* I used large language models to help bootstrap UI components and parse documentation. * I tested execution results and iteratively refined prompts for better output quality. * Backend indexing and categorization logic were guided by prompt-driven exploration and manual refinement.

It’s not fully “vibe coded” in the sense of zero understanding — I still reviewed and structured a lot of the logic — but the AI really sped up scaffolding and idea exploration.

If you’re curious about how I pushed AI-generated prototypes toward a usable portal for real APIs and data sources, I’m happy to share more about the tools and prompts I used.