Agents Are Already Writing a Language You Can't Read
Compression toward machine-preferred notation isn't a future bet. It's already landing in context formats, agent protocols, and the files your harness reads.
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Posts tagged AI tools
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Posts tagged AI tools
Structured LLM Output in Elixir: Which Library, When
Four Elixir options for schema-validated LLM output, scored on maintenance, provider coverage, retry behavior, and escape hatches.
What Elixir Gives a Coding Harness for Free
José Valim's case for Elixir as a coding-agent harness holds up on the runtime. The tax is the ecosystem around it — sandboxing, plugins, and SDKs.
AIOS v2: The Scope Is the Filesystem
A restructure log: what broke in the AIOS v1 tree at multi-scope scale, why identity-first beats type-first, and what shipped in v2.
The One File Where Your AI Model Names Live
Model names scattered across every repo's config rot the day a model gets deprecated or repriced. One git-versioned markdown table fixes it for good.
The Four Claude Code Hooks I Run on Every Project
The exact hooks in this repo settings.json: a .env guard, a draft-post warn, mix format, a JSON validator, and the real matcher and exit-code mechanics.
TDD With Claude Code in Elixir: What Holds Up
Where TDD with Claude Code actually holds up in an Elixir/Phoenix codebase — ExUnit async, mix precommit, Ecto.Multi idempotency — and where it breaks.
What I Put in CLAUDE.md After 50 Commits With It
The CLAUDE.md entries that actually earned their place on a real project — mistake-driven rules, not a speculative template you copy once and forget.
The 17x Discount Hiding in Your AI Coding Bill
My team's $200 AI coding seats consume $1,800–$3,500 of API-priced tokens a month. The 10–17x arbitrage nobody prices in, and how to budget for it.
AIOS: An AI Operating System in Plain Markdown
I open-sourced the AI operating system I run daily: a git-versioned markdown vault, cross-repo wiring, and a nightly ingest loop. Fifteen minutes to set up.
Building an AI Memory That Outlives Any Single Agent
Your accumulated agent memory is a bet on one vendor's format. Build a portable, git-versioned knowledge layer any agent can read instead.
The Claude Code Plugin Stack I Actually Run
The Claude Code plugins that earn a permanent slot in my stack, sorted by what they actually change — my process, my domain expertise, or just friction.
Programming Sucks, Now With Agents
An homage to Peter Welch's Programming Sucks, updated for agents: a genius intern with amnesia, hallucinated packages, and a closet that eats your auth layer.
Build an LLM Wiki Your Coding Agent Actually Reads
A markdown knowledge base your AI agent reads and maintains — the three-layer architecture, the ingest/query/lint loop, and the rules that stop it rotting.
Your CLAUDE.md Is the Onboarding Doc You Never Wrote
A CLAUDE.md isn't config — it's executable tribal knowledge. The onboarding doc you never wrote for humans, finally read by something that acts on it.
The AI Coding Agent Bugs I Catch Every Week
Eight failure patterns I see running AI coding agents daily — the confident wrong answers, the lost context, and the bugs they reliably ship.
15 Elixir Libraries I Reach For in 2026
The Hex packages I install on day one of a new Elixir project in 2026 — what each earns its place doing, and the ones I dropped along the way.
Elixir Is the Language AI Codes Best
A Tencent benchmark across 20 languages found Elixir at the top of LLM code-completion rates — Claude Opus 4 hit 80.3% on Elixir vs 74.9% on C#. The reasons aren't an accident; they're the same boring properties that have always made Elixir pleasant, now compounded by AI.
Prompt Skills, Not Claude: Four Rules from Anthropic's Engineers
Most engineers prompt Claude one sentence at a time. Anthropic's own engineers don't — they prompt skills. Four rules from their recent talks, with the operator nuance the talks left out.
How I Prompt Claude as a Staff Engineer (50 Prompts I Actually Use)
Fifty prompts I use to ship production AI features, debug distributed systems, and write docs that don't rot. Code review, debugging, refactoring, system design, and PR-quality writing — with five full examples.
Ruflo (formerly Claude Flow): An Honest Deep Dive on the Multi-Agent Orchestration Platform
Ruflo (formerly Claude Flow) is a hive-mind orchestration layer for Claude Code and friends. 45,000+ GitHub stars, 700,000+ npm downloads, three queen-types...
The Claude Code Resource Bible: 46 Tools Worth Knowing in 2026
46 tools across the Claude Code ecosystem, organized by category (official, directories, MCP servers, skills, multiplexers, agent frameworks, automation)...
AI-Assisted Engineering Isn't Faster Coding. It's a New Workflow.
Most engineers using Claude Code see a 10–15% speedup. The teams seeing 40–55% aren't typing faster — they're sequencing work differently. The four modes I use AI in, what to never delegate, and how to get a skeptical team across the line.
My Daily Agentic AI Workflow
A walkthrough of how I run 4–7 agent sessions in parallel through a normal engineering day. Morning background tasks, mid-morning pair programming, afternoon reviews, end-of-day ops. The interaction modes that work, the handoff protocol, and the trap that makes most agent workflows produce slop.