AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Overview: Modern .NET productivity depends on libraries enabling resilience, observability, messaging, and clean architectural separation at scale.High-performa ...

GoCardless launched MCP, a tool that lets developers and merchants interact with its bank payment platform using everyday ...

AWS’ Hands-on-Lab at DevSparks Pune 2026 will showcase how AI is transforming full-stack development, from idea to deployed application, much quicker than before. India’s developer ecosystem is ...

At the very recent India AI Impact Summit 2026, the country unveiled its own AI chatbot, called the Indus AI. While OpenAI’s ...

Research reveals that LeapLogic delivers significantly higher conversion accuracy, faster transformation and time ...

Markdown is emerging in VS Code and Visual Studio 2026 as a version-controlled instruction layer that governs AI agents, ...

Unlock the power of event-driven architecture with AWS's innovative pattern for Amazon RDS SQL Server. This approach ...

Architecture’s unseen labor lies in specs and compliance. This article explores how AI like Avoice structures technical ...

Following Anthropic's (ANTHRO) product event, Wedbush (IVES) said that competition risk to software is overblown.

Every engineering leader watching the agentic coding wave is eventually going to face the same question: if AI can generate production-quality code faster than any team, what does governance look like ...