We Rewrote JSONata with AI in a Day, Saved $500K/Year | Reco
Summary
Reco reports a case study where gnata, a pure-Go implementation of JSONata 2.x, was built in seven hours using AI-driven methods, eliminating RPC overhead and delivering 25–90x faster evaluation for complex expressions. The result was about $500K/year in savings and a total ROI from reworking the JSONata pipeline, with two-tier evaluation and streaming architecture enabling high throughput. The article also touches on AI-enabled code review and potential future implications.