- - There's Already a Slur for the AI Taking Peoples' Jobs newsweek.com
- - Why “Context Engineering” Matters dbreunig.com
- - Cursor’s New Bugbot Is Designed to Save Vibe Coders From Themselves wired.com
- - The 14 pains of billing for AI agents arnon.dk
- - AI Has Flipped Software Development lukew.com
- - What You Actually Need to Monitor AI Systems in Production blog.sentry.io
- - Designing Software for AI Agents lukew.com
- - Errors found in US judge’s withdrawn decision stink of AI theverge.com
- - The White House AI Action Plan: a new chapter in U.S. AI policy blog.cloudflare.com
- - Coding with LLMs in the summer of 2025 (an update) antirez.com
- - Nobody Knows How To Build With AI Yet worksonmymachine.substack.com
- - A Comprehensive Guide to Vibe Coding Tools medium.com
- - AI Needs UI odannyboy.medium.com
- - MCP: Bringing mashups back blog.pamelafox.org
- - I'm being paid to fix issues caused by AI' bbc.com
- - OpenAI’s ChatGPT Agent Is Haunting My Browser wired.com
- - OpenAI says ChatGPT users send over 2.5 billion prompts every day theverge.com
- - AI data centres need round-the-clock energy and could be more power-hungry than we think abc.net.au
- - How default mode networks for LLMs are an example of missing capabilities for search and novelty in contemporary AI systems gwern.net
- - How to avoid that your post about AI helps the hype hidde.blog
- - It's rude to show ai output to people distantprovince.by
- - Meta snubs the EU’s voluntary AI guidelines theverge.com
- - Persuading AI to Comply with Objectionable Requests gail.edu
- - ChatGPT advises women to ask for lower salaries, study finds, reinforcing real-world discrimination thenextweb.com
- - We did the math on AI’s energy footprint. Here’s the story you haven’t heard. technologyreview.com
- - This AI-powered lab runs itself—and discovers new materials 10x faster sciencedaily.com
- - How Distillation Makes AI Models Smaller and Cheaper quantamagazine.org
- - AI Overviews Cite AI-Generated Content More Than Human Writing ahrefs.com
- - Introducing Deep Research (Preview), plus Audio-in, Projects, and other updates. mistral.ai
- - source code analysis of Amazon Kiro ghuntley.com
- - Design Patterns For AI Interfaces smashingmagazine.com
- - Delegation is the AI Metric that Matters dbreunig.com
- - AI ecosystem for financial services anthropic.com
- - Artificial Intelligence Appreciation Day daysoftheyear.com
- - Is A.I. the Future of Web Browsing? nytimes.com
- - Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity metr.org
- - The General-Purpose AI Code of Practice (EU) digital-strategy.eu
- - Strategic Intelligence in Large Language Models: Evidence from evolutionary Game Theory arxiv.org
- - How People Use Claude for Support, Advice, and Companionship anthropic.com
- - NoCode Is Dead thenewstack.io
- - AI coding tools may not speed up every developer, study shows techcrunch.com
- - Spending (Too Much) Money on a Coding Agent allenpike.com
- - I’m Losing All Trust in the AI Industry thealgorithmicbridge.com
- - The “Expert Generalist”, emphasising the importance of mastering fundamental principles and patterns martinfowler.com
- - New AI model uses behavior data from Apple Watch for better health predicitons appleinsider.com
- - Positive review only': Researchers hide AI prompts in papers asia.nikkei.com
- - McDonald’s AI Hiring Bot Exposed Millions of Applicants’ Data to Hackers Who Tried the Password ‘123456’ wired.com
- - OpenAI tightens the screws on security to keep away prying eyes techcrunch.com
- - How scientists are trying to use AI to unlock the human mind technologyreview.com
- - Adding a feature because ChatGPT incorrectly thinks it exists holovaty.com
- - The Need for Transparency in Frontier AI anthropic.com
- - A24 Film ‘Heretic’ Features ‘No Generative AI’ Disclaimer decrypt.co
- - “Powered By AI” Is Not a Value Proposition nngroup.com
- - AI Models Mislead Users on Login URLs infosecurity-magazine.com
- - Hidden AI prompts in academic papers spark concern about research integrity japantimes.co.jp
- - Critical RCE flaw in Anthropic’s MCP inspector exposes developer machines to remote attacks csoonline.com
- - Trial Court Decides Case Based On AI-Hallucinated Caselaw abovethelaw.com
- - European CEOs urge Brussels to halt landmark AI Act ft.com
- - UK government demands overhaul at under-fire AI institute politico.eu
- - On AI, News Corp treads a fine line between profit and reporting crikey.com.au
- - Common AI Product Issues lukew.com
- - Design Leadership In The Age Of AI: Seize The Narrative Before It’s Too Late andybudd.com
- - The New Skill in AI is Not Prompting, It's Context Engineering philschmid.de
- - Prompts vs. Context dbreunig.com
- - Context engineering simonwillison.net
- - Meet The New Breed of GenAI Application Engineers deeplearning.ai
- - The Path to Medical Superintelligence microsoft.ai
- - Cloudflare launches a marketplace that lets websites charge AI bots for scraping techcrunch.com
- - The secret of good metaphors doc.cc
- - What I learned trying seven coding agents understandingai.org
- - Denmark clamps down on deepfakes by letting people copyright their own features techcrunch.com
- - What if children could crush academics in 2 hours, 2x faster? 2hourlearning.com
- - OpenAI’s Unreleased AGI Paper Could Complicate Microsoft Negotiations wired.com
- - Understanding the ‘Slopocene’: how the failures of AI can reveal its inner workings theconversation.com
- - AI Trends on the World’s Work Marketplace: How AI Is Reshaping the Way Humans Work upwork.com
- - The concept of “artificial intelligence” is an ideology rather than a technology, perpetuating a system of supremacy that values certain forms of intelligence over others. aworkinglibrary.com
July 2025
AI is a disruptive force rewriting how we build, code, govern, and even understand intelligence itself. From “context engineering” and vibe coding tools to the rise of AI-powered labs and self-directed agents, the boundaries of software development are rapidly dissolving. Meanwhile, critical flaws—like hallucinated court rulings, misleading UI, or energy-hungry data centers—highlight the risks of scaling too fast without clear oversight. Governments wrestle with regulation as CEOs push back, researchers hide prompts, and users report being haunted by buggy agents. Questions of trust, transparency, discrimination, and design ethics surface alongside deeper inquiries into agency, compliance, and the ideology of AI itself. This collection captures a snapshot of the AI moment: messy, contradictory, and deeply consequential.
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