Jev in production › Agent tool and action selection

QuickE2E

Picks each browser click for end-to-end tests; hosted Jev runs median 3.74s per step versus 25.29s for Claude Code plus Playwright MCP (author).

Open on GitHub ↗

3.74smeasured against a baseline, as published by the source
Use
Agent tool and action selection
Industry
Developer tools
Form
Open-source tool
Stage
In production
Listed
2026-10-09
Found via
github
Repository
dmoka/quicke2e
Stars
92
Forks
5
Last push
2026-10-08
Language
JavaScript
License
MIT
QuickE2E screenshot
docs/demo.gif in the dmoka/quicke2e README, MIT; shown from GitHub.

The README opens with

Plain-English end-to-end tests for web apps. A small decision model picks each click. Code decides pass or fail.

Quick start · How it works · Attack cases · Benchmarks · Engines · Limits

For AI agents: AGENTS.md (spec rules, exit codes, the --json record) · llms.txt · agent skill

Recorded at 1× speed with the local engine (Shisa DE-1). Task: from the TicketBay home page, buy 2 tickets with the discount code WELCOME10.

Built by Daniel Moka. I write about building software with AI agents in Craft Better Software, read by 200K+ engineers. Subscribe to get QuickE2E releases and the engineering behind them.

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For the project's own README, linking back here:

Listed in Jev in production

Also used for agent tool and action selection