A startup rebuilt its RAG pipeline, ditching fixed-size chunks for adaptive methods and Bayesian optimization to boost recall and cut latency.

A new protocol lets AI models directly interact with email infrastructure, enabling autonomous operations and raising new security questions.

More capable AI models are creating more complex tasks, driving up costs even as efficiency improves.

Python CLI tool envalign ensures your .env, .env.example, and code usage stay synchronized, preventing costly outages.

Autonomous agents accelerate development but introduce 'agentic technical debt' faster than teams can manage.

An AI agent automates the complex, costly process of identifying why key metrics change, slashing investigation time and cost.

As AI systems grow, specialized agents and robust infrastructure are key to managing complexity and expanding capabilities.

EF Core 10 introduces Named Query Filters, enhancing support for multiple query filters on a single entity.

A follow-up benchmark reveals the true value of progressive disclosure for AI agents: consistency, not just speed.

Coordinated AI agents can perform complex tasks, drastically reducing per-task costs and enabling new business models.