Data scientists are increasingly expected to work with large language models, build generative AI applications, and deploy models to production, expanding their role beyond classical modeling. The shi…
Data engineering is the foundational backbone of AI systems, requiring new architectural patterns and rigorous data quality to ensure model success in production. Data engineers now co-own reliability…
Neo4j launched Virtual Graph for Databricks, enabling graph-based querying of lakehouse data without moving it. The tool translates Cypher queries to SQL, making relationships explicit for humans and …
A developer open-sourced Polymr, an agent platform for controllable execution and adaptive interaction through dynamically generated tools and interfaces. The platform features standardized preview mo…
ProData AI, a professional automated data science platform integrated with Claude's Model Context Protocol, launched with 14 tools for tasks including AutoML training, time series forecasting, and rep…
A new open-source benchmark, Truth Benchmark, automatically detects when code does not match its documentation claims. The project provides a dataset of 52 labeled examples across multiple programming…
A developer created Quack-Mate, a chess engine built entirely in pure SQL using DuckDB, demonstrating that a modern analytical database can be pushed to play chess despite the paradigm mismatch. The e…
TetherDust, an open-source self-hosted AI analytics engineer, was released on Show HN, enabling AI agents to generate verifiable SQL and build interactive d3.js dashboards by bridging codebases and da…
At a Quito Lambda community event, a developer demonstrated how prompt injection attacks can compromise LLM applications that generate SQL over live databases, using an open-source model accessed via …
The AIchain library introduces "Skill," a Python object that treats prompts as reusable, parameterizable components rather than hard-coded strings. By separating prompt templates from runtime data and…
A new programming paradigm called "annotated prose" is emerging as the next abstraction layer in software development, allowing developers to write full-stack applications using structured markdown do…
Data science and data analytics are distinct career paths with different focuses, skills, and educational requirements. Data analytics interprets existing data to identify trends and inform business d…
A developer has built an AI data analyst that eliminates the need for SQL by allowing users to ask business questions in plain English. The system uses a reasoning model to interpret natural language …
Nearly 40% of active Data Engineer job postings now mention AI, with 17.4% explicitly requiring generative AI skills like LLMs, RAG, and AI agents, according to an analysis of 6,736 listings on Interv…
A senior data architect and machine learning engineer has outlined the essential toolkit for AI development, comparing Python to ghee as a binding foundation and SQL, NumPy, and Pandas to measuring sp…
A developer built "Life Risk Radar," a personal Coral agent that answers plain-English questions about inbox, calendar, and financial data by executing real cross-source SQL joins. The agent, created …
Microsoft Fabric Data Factory has made Change Data Capture (CDC) support for SQL estate in Copy Job generally available, enabling teams to keep analytical data aligned with operational systems as busi…
According to a recent discussion on r/learnmachinelearning, approximately 20% of machine learning theory is responsible for handling 80% of production work. The article identifies four key theoretical…
The article describes the author's experience building AtlasMind, an AI-powered project management assistant designed to simplify data visualization and reporting in Jira. The tool allows users to ask…
The article argues that allowing AI to generate raw SQL queries against ERP databases is a poor architectural choice, despite being a common demo technique. It explains that ERP data is governed by co…