Analysis of AI agents' current limitations, showing they complete only 2-3% of real freelance tasks, highlighting the gap between automation hype and reality.
A developer builds a gesture-controlled flight tracker using MediaPipe, TanStack Start, and OpenSky API for the Advent of AI 2025 challenge.
A historical overview of beginner-friendly 'Hello World' examples in machine learning and AI, from 2013's Random Forests to 2025's Qwen3 with RLVR.
A timeline of beginner-friendly 'Hello World' examples in machine learning and AI, from Random Forests in 2013 to modern RLVR models in 2025.
Introducing Invoker Commands in Chrome 135, enabling declarative control of <dialog> and [popover] elements without JavaScript.
The Spring Fu experimental project is archived as its goals are now met by Spring Boot 4's modular auto-configurations and Spring Framework 7's BeanRegistrar.
Developer shares custom Claude Code plugins 'Essentials' and 'Ideation' that use AI to clean code and structure ideas while preserving personal style and judgment.
Exploring a semi-interactive proof system for verifying assembly code using Python, Z3, and Ghidra Pcode.
A critique of Cory Doctorow's AI essay, arguing it misunderstands AI's potential impact and gives harmful advice, while praising the 'Reverse Centaur' analogy.
A developer builds a motion-controlled Street Fighter game using a Bangle.js smartwatch, WebAI, and TensorFlow.js for gesture recognition.
A comparison of HTML minifiers, discussing benchmarks, trade-offs in effectiveness, speed, and security, and the importance of informed tooling decisions.
Cory Doctorow critiques the AI industry's growth narrative, arguing it's based on replacing human jobs to enrich companies and investors.
Bryan Cantrill discusses applying Large Language Models (LLMs) at Oxide, evaluating them against the company's core values.
Tips from David Crespo on effectively using Claude Code for understanding codebases and automating tedious coding tasks.
A tutorial on building a simple Laravel application and deploying it to the Sevalla PaaS platform for easy, serverless hosting.
A technical guide on building an AI agent server using the AG-UI protocol and Microsoft's Agent Framework for Python, with GitHub code.
Explores the shift from traditional pull queries to using materialized views and data duplication for better performance, format, and location in data systems.
Explores the limitations of traditional pull queries in data systems and advocates for using materialized views and data duplication to improve performance.
A developer shares how they independently built two features for their personal AI system that were later released by Anthropic for Claude Code.
A developer reflects on AI agent architectures, context management, and the industry's overemphasis on model development vs. building applications.
