What Does Privacy Mean Now?
Explores how LLMs and AI challenge traditional definitions of privacy, analyzing the ethical implications of machine vs. human data observation.
Explores how LLMs and AI challenge traditional definitions of privacy, analyzing the ethical implications of machine vs. human data observation.
A developer explains how they use AI tools like Claude for web development, proofreading, and coding, but not for writing blog content.
Explores the current capabilities and limitations of using Claude Code (AI) to build a dbt project, arguing it won't replace data engineers yet.
Analyzes why Claude AI uses Electron for its desktop app, debating the trade-offs between native development and web-based frameworks.
Explores how modern LLM coding agents adapt to new or private tools, challenging the 'Choose Boring Technology' assumption.
Explores how modern LLM coding agents adapt to new or private tools, challenging the 'Choose Boring Technology' assumption.
A thought-provoking article questioning which programming languages are best for AI-generated code, including options like machine code and Idris.
A practical guide on integrating Generative AI into Security Operations (SOC), covering foundational LLMs, development tools, and automated agentic workflows.
A passionate argument for embracing AI in tech careers, addressing skepticism and highlighting its transformative impact on software development.
Announcement of the second edition of a data visualization book, updated for modern R and ggplot, with discussion on LLMs in coding.
Explores the importance of manual testing by AI coding agents to complement automated tests, with practical patterns for Python, APIs, and web UIs.
Explores the importance of manual testing by AI coding agents to complement automated tests, with practical patterns for Python, APIs, and web UIs.
Argues for rigorous scientific studies on the impact and risks of using LLMs in software development, highlighting current lack of impartial research.
A technical architect explores using local LLMs as junior developers for a blog migration, analyzing their strengths and common pitfalls.
A developer's policy on using AI for writing blog posts, code docs, and proofreading, distinguishing human opinion from AI assistance.
Tutorial on using Dremio's AI_GENERATE SQL function to extract structured data from unstructured text like emails and contracts.
A tutorial on using Dremio's AI_CLASSIFY SQL function to categorize data like customer sentiment and support tickets directly within a data lakehouse.
Tutorial on using Dremio's AI_COMPLETE SQL function to generate product summaries, marketing copy, and translations directly within a data pipeline.
Explores the 'Great Transition' where AI, especially LLMs and skills, is making specialized knowledge public, reshaping knowledge work and expertise.
Discusses the discovery of LLM-generated commits in the CPython repository and the implications for open-source development.