Reco AI Rewrote JSONata in One Day, Saved K Per Year
AI-Driven Code Migration: How Reco Rewrote JSONata in a Single Day
SaaS security company Reco has revealed that it used AI to completely rewrite the open-source JSONata query and transformation library, saving approximately ,000 per year in licensing costs. The announcement comes as the company raises a total of million following its Series B funding round.
The Technical Achievement
JSONata is a JSON query and transformation language widely used in enterprise applications. Reco replaced the original open-source implementation with an AI-generated rewrite that maintains full compatibility while eliminating licensing dependencies.
Broader Implications
This case study illustrates a growing trend of companies using AI to replace expensive third-party dependencies:
- Cost reduction: K annual savings from a single day of AI-assisted development
- Vendor independence: Eliminating licensing dependencies provides long-term strategic flexibility
- Speed: What would traditionally take months of engineering effort was completed in one day
- Quality: The AI-generated rewrite reportedly maintains full functional compatibility
Reco and SaaS Security
Reco focuses on Dynamic SaaS Security, providing visibility into identity and access patterns across SaaS applications. The company recently introduced full AI agent visibility features, recognizing that thousands of AI agents now operate across enterprise SaaS environments with often unknown permissions and connections.
The AI Coding Revolution
As AI coding tools become more capable, cases like this will become increasingly common. Companies are discovering that many expensive software dependencies can be efficiently replaced with purpose-built alternatives generated by AI, fundamentally changing the economics of software development.