# Argos Argos é uma plataforma de testes visuais e de snapshots para pull requests. Ela ajuda equipes e agentes de IA a revisar alterações em pixels, Markdown, JSON e outros arquivos antes do merge e da implantação. - Findings24: - Site: - Preços: Freemium - Categorias: Assistentes de testes com IA ## O que é Argos? Argos is a visual and snapshot testing platform for pull requests. It helps teams review screenshots, recordings, and file diffs before code is merged or deployed. The product is designed for both human reviewers and AI agents. It highlights changes clearly, supports collaborative review workflows, and exposes build data through the CLI, REST API, and MCP server so agents can inspect and act on what changed. ## O que Argos pode fazer? ### Visual and snapshot testing Compare changes in screenshots and snapshot data so reviewers can inspect pixels, Markdown, JSON, HTML, CSS, XML, YAML, and similar file outputs. ### Change detection for pull requests Surface every change a PR makes and separate the real differences from rendering noise with deterministic pixel diffing and stabilization. ### Collaborative review threads Let teammates comment, request changes, approve, and reply in the same review thread, including pinned comments on specific pixels or regions. ### Agent-ready workflows Expose machine-readable build data through the CLI, REST API, and MCP server so AI agents can read diffs, review their own work, and submit decisions. ### Media sharing from the terminal Allow screenshots and screen recordings to be uploaded from the terminal and attached to a PR as review context and proof of change. ### Preview deployments for PRs Deploy Storybook and static builds on every pull request, generate shareable preview URLs, and promote merges to a stable production domain. ## Casos de uso ### Review UI changes before merge Use Argos to compare visual diffs on a PR, catch regressions, and approve or reject changes with a side-by-side review flow. ### Support AI-generated code reviews Let an agent inspect the build, read machine-readable diffs, fix its own mistakes, and bring only unresolved changes to a human reviewer. ### Publish Storybook previews on every PR Deploy Storybook or another static build to a unique preview URL so teammates can inspect the change in a live environment. ### Share evidence with reviewers Upload screenshots or screen recordings from the terminal so the PR contains the visual context needed to understand the change without checking out the branch. ### Reduce noise in flaky visual tests Track instability across builds, use flaky-detection tools, and focus review time on diffs that reflect real product changes. ## Perguntas frequentes ### What does Argos review? Argos reviews screenshots and snapshot data, including structured or rendered file changes such as Markdown, JSON, HTML, CSS, XML, and YAML. ### Can AI agents use Argos? Yes. The site describes Argos as agent-ready and says agents can inspect builds, read diffs, upload media, and submit reviews through the CLI, REST API, and MCP server. ### Does Argos only test screenshots? No. The product also supports snapshot-style review for other files and structured outputs, not just pixel-based screenshots. ### Can Argos be used for deployments? Yes. Argos can deploy Storybook and other static builds on every pull request and provide live preview URLs. ### How is Argos priced? The pricing page shows a free Hobby plan, a Pro plan billed monthly based on usage, and an Enterprise option with custom pricing and sales contact. ## Informações rápidas - **Category**: Developer Tool - **Primary use**: Visual and snapshot testing for pull requests - **Main users**: Frontend teams, reviewers, and AI agents - **Supported workflow**: Review, comment, approve, or request changes on PR diffs - **Deployment support**: Storybook and static build previews on PRs - **Pricing model**: Usage-based with a free Hobby plan and paid Pro and Enterprise tiers