GPT-6 Luna vs Claude Haiku 5.5: Results From Six Real Work Tasks
I ran five AI models through six real work tasks, 90 runs total. Four tasks were perfect for all; most gaps came from self-introduction grading.
#claude-code
16 posts tagged claude-code
- Experiments
- Insights
Claude Skill Selection Criteria: 3 Rules From 82 Skills I Built and 27 I Used
The three criteria I use to pick Claude skills after building 82 and using 27 over 110 days, and where to check each one on GitHub.
- Guides
Claude Code vs Codex vs Jev: Speed, Cost, and When to Use Each
Compare Claude Code, Codex, and Jev on accuracy, cost, and latency, and see where a judgment-only model fits next to a coding agent.
- Insights
Keeping AI Project Docs Under Control: A Signal-to-Noise Rule for md Files
Rules for keeping AI-generated md files in check: separate living docs from dated records, allow five root filenames, and enforce it with a hook script.
- Guides
How to Install the Claude Code CLI on Mac and Windows
Install the Claude Code CLI with the official one-line script on Mac or Windows. No Node.js needed; the npm path is an optional extra.
- Insights
Agent Knowledge Management Standards: Storage and Retrieval vs. Context Engineering
Learn how agent knowledge storage and retrieval map to CoALA memory types, sleep-time consolidation, and progressive disclosure.
- Insights
Building a Solo Board Game Server in One Weekend with Claude Code: A Retrospective
A 36-hour build of an Age of Steam web game with Claude Code: code size, commits, API cost breakdown, and why the LLM hard difficulty was shelved.
- Insights
Claude Code Harness Audit: Finding Silent Failures in Hooks, npx, and YAML
A three-month drift audit of a Claude Code harness. Learn which failures stay silent and how to test hooks, avoid npx squatting, and validate YAML.
- Insights
Why Domain Expertise Matters More Than Coding Skill With AI Coding Agents
Anthropic's analysis of about 400,000 Claude Code sessions shows domain knowledge amplifies agentic coding results more than coding training does.
- Insights
Claude Code Hooks: Why Deterministic Control Points Work for Stochastic Agents
Why Claude Code hooks guarantee deterministic control over AI agents, traced from git hooks and Design by Contract to neuro-symbolic guardrails.
- Insights
Keeping Multiple AI Agents Consistent with SSOT for Paths and Tokens
Stop AI agents from drifting apart. Keep secrets in one shell file, paths and IDs in one shared guide, and point every agent config file to that guide.
- Insights
Why n8n Still Matters When Claude Code Can Write Your Automations
Docker pulls, npm downloads, and GitHub stars show n8n and Claude Code coexisting. Learn the three moats n8n defends and when to use each tool.
- Insights
Claude Code under launchd: debugging five stacked failures in headless automation
Five stacked failures broke a Claude Code briefing run by macOS launchd. Here is how each layer was found and fixed for headless automation.
- Insights
Claude Code Recurring Execution: /loop vs /schedule vs CronCreate Compared
Compare /loop, /schedule, CronCreate, and Routines in Claude Code to pick the right recurring run for local tools, cloud execution, or external triggers.
- Insights
Claude Code Token Optimization: Why a 2-Hour Session Exhausted the Max x5 Budget
Why parallel lecture editing and PDF indexing exhausted a Max x5 token budget in two hours, plus a per-task token estimate and a delegation strategy.
- Insights
Claude Code + Obsidian: Automatically Capture Sessions and Generate a Daily Work Log
Set up a Claude Code Stop Hook that saves sessions to Obsidian as Markdown, then uses Gemini to draft a daily work log. Setup takes about 15 minutes.