Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Agent Skills: The Open Standard for Teaching AI Agents
Agent Skills is the open standard for packaging procedures AI agents can follow: a folder with a SKILL.md file that works across Claude Code, OpenAI Codex, Cursor, Gemini CLI, GitHub Copilot, and more than 40 other tools. Here is how the format works, what portability actually buys a team, and what a skill cannot standardize.
Best AI-Native Testing Platforms in 2026 (and How to Spot Retrofits)
AI-native is an architecture, not a feature list. Five checkable tells separate platforms designed around AI from pre-agent products wearing it. This guide names the tells, then evaluates the platforms against them.
The Best AI QA Tools in 2026, Organized by the Job They Do
AI QA tool is a label covering five different jobs: authoring and maintaining tests, driving browsers for agents, visual review, execution infrastructure, and enterprise codeless suites. This guide organizes the field by job, then names the tools worth knowing for each.
Best AI Test Automation Tools for Fast-Moving Teams (2026)
Teams that ship daily have four constraints slower teams don't: no time to author, no capacity for maintenance, verification that must keep pace with coding agents, and no appetite for vendor onboarding projects. This guide picks tools against those constraints.
Best Autonomous Testing Tools in 2026: Who Actually Closes the Loop
Nearly every testing vendor now says autonomous. The test that survives marketing: can the system author, run, interpret, and heal tests without a human in each step? This guide defines real autonomy, then compares the tools against it.
Best Claude Code Skills for Testing and QA
The testing skills worth installing into Claude Code: bundled skills like /verify, Shiplight's browser verification set, and the community skills for TDD, test fixing, and root-cause tracing, with an honest note on what a skill cannot do.