AI agents in data engineering should be structured with a deterministic correctness layer to ensure reproducibility and trust, according to a new analysis. The article outlines three levels of AI agen…
A Snowflake engineer built four governed Cortex Agents on a semantic layer after a prototype nearly fed the CFO an incorrect revenue figure. The agents—Finance, Sales, Customer Success, and Executive—…
A developer launched a personal website structured as an interactive connected graph, featuring a blog with 200+ posts on data engineering, a second brain with 1000+ interlinked notes on PKM and writi…
Snowflake introduced Horizon Context, a governed meaning layer designed to resolve semantic ambiguity in enterprise AI systems. The product addresses context fragmentation where the same term like "re…
Kilo launched its Agency Partner Program to help agencies and consultancies deliver agentic engineering solutions to clients. The program offers three tiers—Foundation, Advanced, and Enterprise—and in…
A technical writer argues that diverse technical systems—from data engineering pipelines to RAG-based AI products—share a common underlying structure, using stages of refinement to transform raw input…
A developer introduced SQLazy, a tool that compiles natural-language step-by-step logic into auditable SQL, addressing the trust crisis in AI-generated SQL. Research shows LLMs achieve only 64.5% accu…
Confluent Cloud launched a dbt adapter that lets data engineers manage streaming SQL transformations with the same CI/CD, testing, and documentation workflows used for batch data. The adapter, built o…
A developer explains that by 2026, data pipelines must be redesigned for AI agents as primary consumers, requiring context-rich metadata, lineage tracking, and embedding outputs. The post introduces '…
A data engineer created Ghost Skills, a collection of methodology instructions for AI coding agents, to address the gap between model capability and the contextual knowledge needed for real-world data…
A 2026 career guide breaks down the distinct roles of data engineers, who build and maintain data infrastructure and pipelines, and data scientists, who analyze data and build machine learning models.…
Data Workers, an open-source autonomous agent swarm for data engineering, bet on the Model Context Protocol (MCP) to connect its AI agents to dozens of tools in the modern data stack, rather than buil…
Here is a factual summary of the article: The article outlines seven common design mistakes that cause semantic layer projects to fail, emphasizing that failures stem from early design decisions rath…