GeekyAnts warns that delaying AI product modernization in enterprises incurs rising maintenance costs, slower AI deployment, and widening competitive gaps, with technical debt in the US reaching $1.52…
GeekyAnts co-founder Sanket Sahu discussed the AI-native shift in software development, highlighting that while AI accelerates code generation, human review and validation remain bottlenecks. The podc…
GeekyAnts engineering team argues that architectural choices like cloud-native vs. cloud-agnostic should be based on business stage, not ideology. Early-stage startups benefit from cloud-native speed …
GeekyAnts reports that AI-powered intelligent automation is cutting healthcare's $600 billion annual administrative waste by streamlining revenue cycle management, prior authorizations, and clinical s…
GeekyAnts published two deep dives exploring AI implementation and explainability in insurance workflows, highlighting that a model with 99 percent accuracy is useless if compliance teams cannot audit…
This article reviews two technical approaches from GeekyAnts: AI-driven end-to-end testing using Playwright 1.56’s agentic loop, and custom mobile image processing in React Native using the Expo image…