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.
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.
Tutorial on using Dremio's AI_GENERATE SQL function to extract structured data from unstructured text like emails and contracts.
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.
A skeptic's detailed journey using AI coding agents for complex projects, including porting scikit-learn to Rust, showcasing their surprising capabilities.
A skeptic's detailed journey using AI coding agents to port scikit-learn to Rust, showcasing the surprising capabilities of modern LLMs.
A monthly roundup of tech links focusing on data engineering, Kafka, AI, and software development, including personal articles and industry news.
Explains why AI data analytics fail without a semantic layer to define business metrics and ensure accurate, secure queries.
Anthropic's Claude Code creator discusses the evolving role of engineers and why developers are still crucial in the AI era.
A daily tech reading list covering AI advancements, API latency fixes, cloud scaling, and the importance of fundamentals over frameworks.
Martin Fowler shares insights from a software retreat on how LLMs impact senior, mid-level, and junior developers, and discusses cognitive debt.
A daily tech reading list covering AI agents, platform engineering, API docs, AI UX, and cloud performance trends.
A critical analysis of why LLMs like Claude Code struggle with complex coding tasks, arguing the real issue is not intelligence but poor software engineering practices.
The New York Times uses a custom AI tool called the 'Manosphere Report' to track and analyze podcast content for news coverage.
Introduces GLM-5, a massive new open-source AI model, and discusses the emerging concept of 'Agentic Engineering' for software development with LLMs.
