CLI Coding Assistant Hooks: The Overlooked Gold Rush
Claude Code's lifecycle hook system turns AI coding assistants from flashy demos into reliable developer infrastructure. Here's why hooks beat model size.
Blog
Roundup - Week 52: Curated AI, AgTech, and Developer News
Wrapping up 2025 with curated news from AI development, agriculture technology, and developer tools. Claude's context innovations, precision farming, and GitHub's year in review.
Your Lack of Ontology Will Be Your AI Boondoggle
Enterprise AI initiatives fail not from poor models, but from missing ontological foundations. Without it, your AI investment becomes organizational chaos.
Models are Great, Tools are Better
While everyone fixates on the next model release, the real productivity gains come from the tooling layer: LSP integration, the Skills standard, and specification frameworks that make AI assistants genuinely useful.
Using NSIP Tools for Efficient Breeding Decisions
The NSIP API Client brings sheep breeding genetics data into AI assistants, enabling farmers to make data-driven breeding decisions with natural language queries and real-time genetic analysis.
LSP Tools: Bringing IDE Intelligence to Claude Code
The new lsp-tools plugin enforces semantic code navigation in Claude Code, replacing grep-based guesswork with IDE-like precision for refactoring and code understanding.
Git-Native Semantic Memory for LLM Agents
A framework for persistent, distributed, and progressively-hydrated memory in AI-assisted development using Git's native notes mechanism.
NSIP API Client and MCP Server: A Complete Guide
Comprehensive guide to the National Sheep Improvement Program API client, MCP server, and AI-powered shepherd agent for genetic analysis and breeding decisions.
Teaching AI Assistants to Remember
How we built persistent memory for AI coding assistants using Git notes, and why it matters for developer experience.