Announcing PyCon US 2026 in Long Beach with new AI and security tracks, plus community highlights.
A structured feedback practice for AI-assisted development, turning individual AI interactions into team-wide improvements through shared artifacts.
A critical opinion piece questioning whether the investment in AI is worthwhile, discussing its promises and real-world limitations.
Explores Cosma Shalizi's view of AI as a mechanization of cultural traditions, analyzing how LLMs retrieve and synthesize formulaic information.
A daily tech reading list covering AI, Google Gemini updates, open source trends, agentic engineering, and enterprise AI challenges.
A speaker shares insights from a fireside chat on AI coding agents, stages of AI adoption, and trusting AI output in software development.
A speaker shares insights from a fireside chat on AI coding agents, discussing adoption stages, trust in AI output, and test-driven development with agents.
An analysis of AI's impact on software development, based on interviews with 70+ developers, discussing automation, testing, and the future of coding.
Explores the transformative impact of AI on software development, featuring insights from industry experts on the future of coding.
Discussion on the "We love open source" podcast about the potential threats that AI poses to the open source and free software movements.
A critique of how quantitative benchmarking and evaluation culture shapes and potentially distorts progress in machine learning research.
A designer critiques the commercialization of AI and its ethical risks, especially regarding military applications.
A thought-provoking article questioning which programming languages are best for AI-generated code, including options like machine code and Idris.
Analysis of Anthropic's Pentagon contract and its branding as a 'moral' AI provider in a commodified AI market.
Analysis of Anthropic's Pentagon contract and its strategy to brand itself as the ethical AI provider in a commodified market.
OpenAI announces GPT-5.4 and GPT-5.4-Pro models with enhanced coding, document creation, and a 1M token context window.
A programmer re-examines the idea that consciousness is substrate-independent, questioning if biological bodies are essential for true awareness.
Explores how large language models (LLMs) act as intimate cognitive interfaces, reshaping human thought through language and raising ethical concerns.
Explores the role of humans 'on the loop' in AI-driven software development, balancing automation with human oversight.
Donald Knuth reflects on an AI (Claude Opus 4.6) solving an open problem he was working on, prompting a revision of his views on generative AI.
