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Verification of development using visual tools
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Hi HN, we’re Nick and Drew, and we’re building boxes.dev – the first cloud-only agentic dev environment (ADE) that gives every Codex and Claude Code agent its own cloud computer. We’re two engineers who previously built Gem (co-founder/CTO and first hire), and we spent the last year coding almost exclusively using Codex and Claude Code. It’s been a huge change to how we code, and it’s been exhilarating seeing the models keep getting better – but we eventually realized that developing on localhost was holding us back: - Git worktrees are clunky to set up and use for parallelizing work -…
Jun 2026 · boxes.dev
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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…
Apr 2026 · github.com
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We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
Feb 2026 · docs.continue.dev
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Hey HN! I’m Gal, co-founder at Checksum (https://checksum.ai). Checksum is a tool for automatically generating and maintaining end-to-end tests using AI. I cut my teeth in applied ML in 2016 at a maritime tech company called TSG, based in Israel. When I was there, I worked on a cool product that used machine learning to detect suspicious vehicles. Radar data is pretty tough for humans to parse, but a great fit for AI – and it worked very well for detecting smugglers, terrorist activity, and that sort of thing. In 2021, after a few years working in big tech (Lyft, Google), I joined…
2023
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Hi everyone, Almost 2 years ago, I left my full-time job at Canon to build tooling and infrastructure to help developers write high-level tests for complex software workflows that are not easy to unit test. I wanted to take ideas from visual regression testing, snapshot testing, and property-based testing and build a general-purpose regression testing system that developers can use to find the unintended side-effects of their day-to-day code changes during the development stage. After two years of working ~70 hours per week and going through multiple iterations, we finally have a fully…
2023 · github.com
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Hey! My name is Dima, I am from Ukraine and I am the co-founder of Lost Pixel! We built this tool to solve our problems at work and decided to open-source it so more people can build their custom visual regression testing pipelines! If you want to chat about the tool or visual regression testing in general I am super excited to meet like-minded people! Thanks a lot for checking out the product and I hope it will serve you well if you decide to try it out :D
2022 · github.com
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