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7 articles
Three translucent evaluation panels converging into a single lens, illustrating the components of a coding-agent benchmark.

Workflows · 7 min read

Artificial Analysis Coding Agent Index v2: what the new scores mean

Artificial Analysis has changed its coding-agent benchmark. Understand the new scoring, API cost tradeoffs and a practical way to evaluate agents on your own repository.

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A patched PHP 8.4.27 command line sits above a separate web worker still running upstream 8.4.26, circled with the note Check the web worker.

Security · 10 min read

Two critical PHP flaws: what to patch and how to verify it

PHP’s October 21 emergency releases fix CVE-2026-109618 and CVE-2026-109619. Check affected runtimes, vendor backports, and the workers actually serving your site.

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An illustrated task to preserve zero moves through an action and test, then the failing result returns to the next action.

Foundations · 7 min read

How AI coding agents actually work

Follow a coding task from instructions to tool calls, feedback, and a verified result. Understand where the model ends and the software around it begins.

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Scattered notes converge into a structured working brief with three clear rows: Goal, Constraints and Checks.

Workflows · 7 min read

Give your AI coding agent better context

Turn a vague request into a useful working brief. Supply the right constraints, examples, and evidence without burying the task in irrelevant material.

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One shared contract splits into Library UI and Article content tasks, then both paths rejoin for integration and verification.

Workflows · 7 min read

When to use one AI agent—and when to split the work

Parallel work helps when the boundaries are clear. Use dependencies, shared files, and review cost to decide whether another agent will actually help.

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Shared Git history connects three separate folders: project on main, docs-task on codex/docs, and checks-task on codex/checks.

Workflows · 8 min read

Git worktrees for parallel AI coding

Give each task its own working directory. A complete local walkthrough covers creation, inspection, integration, and safe cleanup.

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A client sends count_words the text Tools return evidence; the server returns the count three along the opposite arrow.

Foundations · 8 min read

MCP explained through a real tool connection

Trace an actual local client/server exchange: initialize, discover a tool, call it, and inspect the response. No model account or API key required.

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Max Burleigh

FROM THE CREATOR OF CODECK

Hi, I’m Max.

I’m building Codeck, a macOS app for moving between AI coding tasks. This is a place to understand the tools behind the work—and get more deliberate about how you use them.

About Max Burleigh ↗