Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Massey, who was 30 weeks pregnant and spent four years with the company, was laid off via an e-mail sent to her inbox.

The homelab that talks back.