How to Improve Playwright Test Coverage Using Agent Context
I don’t know how to play an instrument, so obviously I built one as an app. Literally, everyone in my family can sign or play an instrument, and I’m the odd one out. And I know what you’re thinking, “Who cares? With AI, you can build almost anything.” I’m more excited about the technique I chose to build the app with my agent. Specifically I used context from the agent session that built the app…
The author, who has no musical ability, built an "Air Jam" app using an agent and context from that agent's sessions to improve Playwright test coverage. The process involved several steps:
1. Installing Entire, which captures prompts, transcripts, tool calls, and decisions from agent-generated code.
2. Creating a project directory and enabling Entire within the repository.
3. Sharing a vague idea with the agent to refine it into an "Air Jam" concept using computer vision, gesture interpretation, and audio output.
4. Documenting the plan in a markdown file, which included the vision, architecture, development stages, MVP targets, and success criteria.
5. Setting up atomic agent commits to keep changes bite-sized and tied to specific session contexts.
6. Building Phase 1 of the app, which involved implementing gesture-to-sound conversion, webcam access, MediaPipe hand tracking, virtual strings, and Tone.js audio output.
7. Generating Playwright tests to cover the initial interface, camera-free note buttons, starting and stopping the synthetic camera, camera permission errors, and mobile layout.
8. Starting a new agent session to evaluate the application using the rich context captured by Entire in earlier steps.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
