
Docket
Vision-first QA testing across web and mobile
What it does
Docket runs AI-driven end-to-end tests across web, iOS, Android, and desktop, using coordinate-based automation and self-healing steps to reduce flaky test maintenance.
Does the same job
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Dock: Developer Optimization Content Kit2025 · ▲135AI-powered tool to boost your app's visibility and downloads
- DADocket – A Todo application that serves as a API testing resource2020 · docket-test.herokuapp.com · ▲10
- FSFinalrun – Spec-driven testing using English and vision for mobile appsApr 2026 · github.com · ▲28
I wanted to test mobile apps in plain English instead of relying on brittle selectors like XPath or accessibility IDs. With a vision-based agent, that part actually works well. It can look at the screen, understand intent, and perform actions across Android and iOS. The bigger problem showed up around how tests are defined and maintained. When test flows are kept outside the codebase (written manually or generated from PRDs), they quickly go out of sync with the app. Keeping them updated becomes a lot of effort, and they lose reliability over time. I then tried generating tests directly from…


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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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