Discusses the future of small open source libraries in the age of LLMs, questioning their relevance when AI can generate specific code.
Release of llm-anthropic plugin 0.22 with support for Claude's structured outputs and web search tool integration.
A guide to building a local, privacy-focused RAG system using Java to query internal documents like Confluence without external dependencies.
Explains how MCP servers enable faster development by using LLMs to dynamically read specs, unlike traditional APIs.
Testing various LLMs to generate a POV-Ray script for a pelican riding a bicycle, comparing results and fixing errors.
Explores how LLMs could lower the barrier to creating and adopting new programming languages by handling syntax and core concepts.
The article argues that writing a simple AI agent is the new 'hello world' for AI engineering and a surprisingly educational experience.
An analysis of using LLMs like ChatGPT for academic research, highlighting their utility and inherent risks as research tools.
An engineer argues that software development is a learning process, not an assembly line, and explains how to use LLMs as brainstorming partners.
Compares DGX Spark and Mac Mini for local PyTorch development, focusing on LLM inference and fine-tuning performance benchmarks.
Explores how GenAI and agentic tools are shifting developer workflows towards rapid prototyping and focusing on output over implementation details.
A hands-on guide to understanding and implementing the Qwen3 large language model architecture from scratch using pure PyTorch.
Martin Fowler shares thoughts on LLMs in software development, discussing usage workflows, the future of programming, and the AI economic bubble.
A guide to building a custom CLI coding agent using the Pydantic-AI framework and Model Context Protocol for project-specific development tasks.
A guide on using Python, AI, and LLMs like LangGraph to detect code vulnerabilities, including workflow design and cost considerations.
A developer builds a personal AI workflow using LangGraph, focusing on integrating human-in-the-loop processes.
Explores how AI-generated content challenges traditional work review heuristics and the need for new evaluation methods.
An analysis of Generative AI's impact on coding and writing, exploring its benefits, limitations, and potential consequences for human creativity.
Explores the role of 'Expert Generalists' in tech, their key traits, and why they are increasingly vital alongside specialists and LLMs.
The article explores the concept of 'Expert Generalists'—professionals who span multiple specialties—and how to identify, hire, and train them.
