Kiro’s structured, agentic workflow challenges the Copilot model, offering a spec-first IDE with hooks, task orchestration, ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Kiro is positioned as an agentic IDE, an environment where AI agents collaborate throughout the software development ...

The key to more powerful plugins may be the graphics processor that you already have in your computer. We discover how three ...

Vivek Bhogaraju and Mayank Gandhi shared the lessons they've learned about shepherding AI initiatives across an organization ...

Learn how to claim a full year of Gemini Pro with Gemini 2.5 Pro for free. This easy, step-by-step guide walks you through ...

Data flow diagrams (DFDs) help visualize data movement and identify inefficiencies or bottlenecks. Data lakehouses combine data lakes and warehouses to handle both structured and unstructured data.

Google’s NotebookLM makes it easier to go through sources for research, analysis, and study. And this review covers the ...

Data architecture is typically documented using data models, data dictionaries, data flow diagrams, and data quality metrics. Add your perspective Anil Patil ...

The Model Context Protocol (MCP) provides a modern, semantically rich way for AI to interact with enterprise systems.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...