Developer Builds Mapping App for Road Intersections Using Codex and Claude
A developer with no prior mapping experience created Intersection Intelligence, a personal, non-commercial research tool for examining what exists at a road intersection and how that is known. OpenAI's Codex assisted with implementation and verification, while Claude provided architectural review, and the author retained control over product vision, scope, and shipping decisions. The project involved learning MapLibre and PMTiles, converting inconsistent source datasets into usable evidence through custom importers, fuzzy matching, and human review, and tuning rendering and query performance. The app was deployed on a small Linux host, with the author documenting the build in two companion posts, one narrative and one 28-slide interactive presentation. The author concluded that AI made an unfamiliar stack approachable but that defining data meaning, testing user experience, and owning acceptance still required substantial human work.
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