Smart Context Engineering Slashes AI API Costs by 78%

Current AI coding assistants like Cursor operate with fragmented context—unable to see database schemas, configurations, or architectural patterns—forcing them to solve problems blindly. Entroly's mathematical approach to context optimization reverses this fundamental inefficiency by automatically selecting the most information-dense code fragments within a token budget, delivering complete codebase visibility while reducing API costs by 78%. This breakthrough transforms the economics of AI-assisted development, making sophisticated AI tools accessible and economically viable for teams of all sizes.