Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Codex CLI: What It Is and How Teams Actually Use It
OpenAI's terminal coding agent is open source, written in Rust, and cheaper per task than most alternatives. Here is what it does, where the async cloud path fits, and what has to happen to the code it produces.
Codex Skills: Teaching the Agent Your Conventions
Every team ends up repeating the same corrections to its coding agent. The fix is to write them down somewhere the agent reads, and to know which of them need enforcing rather than explaining.
Codex Usage: Where the Tokens Actually Go
Agent spend is rarely the tasks you think. It is retries, oversized tool responses, and context that stopped being relevant twenty steps ago. Here is how to find it and reduce it.
Codex vs Claude Code: Which Terminal Coding Agent in 2026?
Both agents live in your terminal and write real code across your repo. They differ in where work runs, how many tokens a task costs, and how far you can extend them. An honest comparison for engineers choosing one, or running both.
Cursor CLI: The Terminal Half of an Editor-First Tool
Cursor built its reputation as an editor, then shipped a terminal agent. The interesting question is not whether it works but when you would reach for it instead of the editor you already have open.
Cypress Testing: Where It Excels and Where Teams Outgrow It
Cypress made browser testing feel good to write, and that mattered. The constraints that push teams off it are architectural, not cosmetic, and worth understanding before you commit a suite to it.