What is an AI agent harness? The loop behind Claude Code and Codex
What an AI agent harness does, with a short TypeScript loop. Where Claude Code, the Agent SDK, Codex and MCP fit.
Articles and guides on search, conversion, Shopify, software and AI agents. Each piece shows its date and author. They explain how the work is done; they aren’t case studies.
What an AI agent harness does, with a short TypeScript loop. Where Claude Code, the Agent SDK, Codex and MCP fit.
I counted the CVEs published each month in the official list. Each doubled level came faster than the last: 12 years, 7 years, 2 years, then 5 months. Why the count is rising, what it doesn't mean, and how to decide what to patch first.
When an agent writes the code first and the tests second, the tests can describe its code, bugs included. Two patterns to look for, a small example you can run, and the red-green loop I use instead.
How Cloudflare Zaraz gates GA4, PostHog, Google Ads and Microsoft Advertising by consent purpose, why I replaced its dialog with a prompt that asks one question at a time, and how Preview & Publish and the cf CLI keep each change reviewable.
I wanted to show an agent making a thumbnail in Affinity through MCP, and it didn't work as expected. The same prompt as code worked much better. The prompt, part of the script, and why my timings aren't a benchmark.
Claude Code put my files on a public URL to get them into Google Slides, and didn't ask first. What that exposed, what to check before an agent can do the same, and why the responsibility stays with whoever connected it.
Simon Willison argued for default hard budget caps, and I agree. What the current provider limits actually stop, what keeps billing anyway, and what to check before you deploy.
JSON.parse can turn a 19-digit ID into a different number without an error. How to keep IDs exact, then ten new JavaScript features for agent code, starting with that fix: what ships now, and what is still a proposal.
Streaming a model’s answer one way? SSE is often enough. Here are ten web standards and two patterns for AI apps: what each is good for, where it falls short, and the spec to check.
When someone else looks after Darcy, my Papillon, they need her food, medicine, vet and routines, not her tricks. Tailmanac is the iPhone app I built to hand that over. Here's what it shares, why it shares an image, and what's still only an idea.
WebMCP gives an agent inside the browser structured tools on the page. A direct MCP server lets any agent call the service with no browser at all. I've built both. Here's when each one fits, with Shopify's checkout as the worked example.
Older pieces, kept online for reference.
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