The State of AI Coding Assistants in 2026
Comparing Claude Code, GitHub Copilot, Codex CLI, and emerging tools. An honest assessment of what's actually useful for developers in 2026.
Blog
Using ADRs to Audit Quality in AI-Assisted Development
How Architecture Decision Records provide a quality gate for AI-generated code. Learn how to audit feature parity and design adherence with AI assistance.
Friday Roundup Week 1: AI Memory, Rust, Holiday Hacking
First weekly roundup of 2026: subcog semantic memory evolution, Rust development with Claude, benchmark results, and the joy of holiday research projects.
2025 in Review: Building AI Developer Tools
What I built, learned, and plan for 2026, git-adr, claude-spec, subcog semantic memory, Rust development, and GitHub's AI ecosystem positioning.
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.
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.