Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Claude Code vs Cursor: Which AI Coding Tool in 2026?
One is an editor that makes you faster while you write. The other is an agent you hand a job to. The choice is really about how much autonomy you want to delegate, and it changes what your review process has to catch.
Claude MCP: Connecting Servers to Claude and Claude Code
Adding an MCP server to Claude takes about a minute. Knowing which servers are worth adding, and what happens to your context when you add too many, takes slightly longer.
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.