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A single command framework that enables AI coding agents to perform comprehensive end-to-end testing, database validation, and UI reviews to catch and fix their own mistakes automatically.
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A single command framework that enables AI coding agents to perform comprehensive end-to-end testing, database validation, and UI reviews to catch and fix their own mistakes automatically.
AI coding assistants generate code faster than humans can review, leading to a "validation gap." This workflow provides a specific framework to ensure agents don't skip testing.
/e2e-test) compatible with Claude Code and other agents.The workflow begins with a prerequisite check and moves into a deep research phase to ground the agent in the specific codebase.
The agent spins up a local development server and systematically works through a generated task list of user journeys.
After testing, the agent generates a structured report and a directory of screenshots for the developer.
A demonstration on a "Link-in-Bio" builder shows the agent identifying the app's structure and executing tests.
To prevent test data from bloating the development database, the video suggests using Neon's database branching feature.
The E2E testing skill can be integrated directly into the "Plan, Implement, Validate" (PIV) loop of feature development.
"AI generated code is still your responsibility. So you need to validate. I'm not going to be a proponent of 'Vibe Coding'." — Cole Medin
"The point of it is not to be fast. The point of it is to be comprehensive." — Cole Medin
"It's only fixing this stuff to get it to the point where it can test the entire user journey... for all of the other more moderate or minor issues, I want to work with the coding agent to figure out how I want to address them." — Cole Medin

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