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 is why hooks beat model size.
Blog
Roundup - Week 52: Curated AI, AgTech, and Developer News
Wrapping up 2025 with curated AI, agriculture, and developer tool news: 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 one, 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 tooling: LSP integration, the Skills standard, and spec frameworks.
Using NSIP Tools for Efficient Breeding Decisions
The NSIP API client brings sheep breeding genetics into AI assistants, so farmers make data-driven breeding decisions with natural-language queries.
LSP Tools: Bringing IDE Intelligence to Claude Code
The lsp-tools plugin enforces semantic code navigation in Claude Code, replacing grep-based guesswork with IDE-like precision for refactoring and search.
Git-Native Semantic Memory for LLM Agents
A framework for persistent, distributed, progressively-hydrated memory in AI-assisted development, built on Git's native notes mechanism for LLM agents.
NSIP API Client and MCP Server: A Complete Guide
A complete guide to the National Sheep Improvement Program API client, MCP server, and AI 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, why it matters for developer experience, and what it means for context limits.