The future state of End-User Computing
Analysis of the future of End-User Computing (EUC), focusing on AI integration, local LLMs, agent sprawl, and evolving security and user experience challenges.
Analysis of the future of End-User Computing (EUC), focusing on AI integration, local LLMs, agent sprawl, and evolving security and user experience challenges.
Merriam-Webster names 'slop' the 2025 Word of the Year, defining it as low-quality, mass-produced AI-generated digital content.
A blog post analyzing a critical bug in Claude Code where a command accidentally deleted a user's home directory.
Bryan Cantrill discusses applying Large Language Models (LLMs) at Oxide, evaluating them against the company's core values.
Wikipedia's new guideline advises against using LLMs to generate new articles from scratch, highlighting limitations of AI in content creation.
A benchmark comparing 9 AI models on their ability to generate SVG images from creative text prompts like 'an octopus operating a pipe organ'.
Analysis of a leaked system prompt for Claude Opus 4.5, discussing its content and the challenges of evaluating new LLMs.
A humorous look at AI model benchmarking using the challenge of generating an SVG of a pelican riding a bicycle, and the risks of labs 'gaming' the test.
Netflix's guidelines for using generative AI in content production, focusing on copyright, data security, and talent rights.
Explores integration methods between Microsoft Copilot and ServiceNow, covering Copilot 365, Copilot Studio agents, and MCP servers.
An engineer argues that software development is a learning process, not an assembly line, and explains how to use LLMs as brainstorming partners.
Explores how GenAI and agentic tools are shifting developer workflows towards rapid prototyping and focusing on output over implementation details.
An analysis of AI video generation using a specific, complex prompt to test the capabilities and limitations of models like Sora 2.
A Thoughtworks engineer explores the nuanced risk assessment required when using AI to generate code, moving beyond a simple 'good or bad' debate.
How AI-assisted reverse engineering helps companies understand and modernize critical legacy systems that have become 'black boxes'.
How Thoughtworks used AI and a 'Research, Review, Rebuild' workflow to modernize the Bahmni hospital system's frontend, drastically cutting migration time.
A guide to building a custom CLI coding agent using the Pydantic-AI framework and Model Context Protocol for project-specific development tasks.
A developer builds a personal AI workflow using LangGraph, focusing on integrating human-in-the-loop processes.
A developer shares how AI tools helped reverse-engineer and optimize a slow API endpoint, moving from a complex transaction script to a domain model.
A recap of major Generative AI developments in summer 2025, covering new models from Google, xAI, and Chinese firms, plus policy and security news.