ProofShot
Open-source CLI that gives AI coding agents visual verification through browser recordings, screenshots, logs, and PR-ready proof artifacts.
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Quick Verdict
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Make the fit call first. Vendor pages are good at selling, but they rarely tell you where the product is a bad match.
- Frontend engineers using AI coding agents to build and change UI flows
- Reviewers who want visual proof before accepting agent-generated pull requests
- Teams running Claude Code, Codex, Cursor, OpenCode, Gemini CLI, or Windsurf in browser-based app repos
- ProofShot is verification infrastructure, not a replacement for real automated tests, accessibility checks, or human design review.
- The strongest workflow assumes browser-based UI work; backend-only, library-only, or terminal-only tasks will get less value from it.
- It inherits the rough edges of local dev servers, headless browser setup, ffmpeg availability, and whatever agent is driving the session.
Compare Next
Take one more internal step before the vendor pitch
This is where visitors usually jump out too early. Read one deeper take or open one alternative so the next click is informed instead of impulsive.
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Browser Use
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Chrome DevTools MCP
Official open-source MCP server and CLI that lets coding agents control, inspect, and debug a live Chrome browser with real DevTools context.
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Playwright CLI
Official open-source Playwright CLI with agent skills for token-efficient browser automation inside coding-agent workflows.
ProofShot is built for the part of AI coding that still fails embarrassingly often: the agent says the UI is done, but nobody has actually seen it run. The CLI wraps a local dev server and browser session, records what the agent does, captures screenshots, collects console and server errors, and turns the run into a proof bundle that a human can review or attach to a pull request.
ProofShot is a verification layer for AI-built UI work. Instead of trusting that a coding agent is done because it edited files, ProofShot wraps the dev server, launches a browser, records the agent session, captures screenshots, collects browser console and server errors, and packages the result into a reviewable artifact bundle. That makes it directly useful for Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Windsurf, and similar agent workflows where the missing piece is not another edit loop, but evidence that the shipped UI actually ran and looked sane.
Why Choose ProofShot?
Choose ProofShot when your AI coding workflow needs evidence, not just file diffs and confident completion messages.
It is especially useful for frontend and product teams because it connects browser execution, screenshots, logs, and timeline review into one artifact bundle.
The agent-agnostic skill installation matters if your team rotates between Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and Windsurf instead of standardizing on one harness.
Because the core tool is MIT-licensed and local-first, teams can evaluate the workflow without adopting a hosted QA vendor.
Key Features
Starts a verification session around a local dev server, launches headless Chromium, and records what the agent does in the browser.
Wraps agent-browser commands through proofshot exec so clicks, fills, screenshots, and navigation are logged into one session timeline.
Captures browser console output plus server stdout and stderr, then scans for errors across JavaScript, Python, Go, Rust, Java, Ruby, PHP, C#/.NET, Elixir, and related stacks.
Generates proof artifacts including session video, screenshots, SUMMARY.md, session logs, console logs, server logs, and a standalone interactive HTML viewer.
Supports proofshot pr for posting verification evidence to GitHub pull requests, with an artifacts-branch upload path that works with normal gh authentication.
Installs agent skills or rules for Claude Code, Cursor, Codex, OpenCode, Gemini CLI, and Windsurf so the workflow can be reused across projects.
Pros & Cons
- ProofShot solves a real trust gap in agent-built UI work: agents can edit the app, but reviewers still need proof that the interface ran and behaved correctly.
- The artifact bundle is more reviewable than a raw Playwright trace or a pile of screenshots because video, timeline, logs, and errors are synchronized in one place.
- Agent-agnostic installation keeps it useful across Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Windsurf, and any workflow that can run shell commands.
- MIT licensing, npm distribution, and a focused CLI surface make it easy to trial without buying into another hosted QA platform.
- ProofShot is verification infrastructure, not a replacement for real automated tests, accessibility checks, or human design review.
- The strongest workflow assumes browser-based UI work; backend-only, library-only, or terminal-only tasks will get less value from it.
- It inherits the rough edges of local dev servers, headless browser setup, ffmpeg availability, and whatever agent is driving the session.
- Public adoption is promising but still early, so teams should validate maintenance pace and PR-upload behavior before standardizing on it.
Detailed Use Cases for ProofShot
Use ProofShot when a coding agent has changed a page or flow and the reviewer needs video, screenshots, and logs instead of another text-only success claim.
ProofShot fits workflows where the agent can navigate, click, fill forms, and take screenshots through shell commands while the tool records the full session.
The generated SUMMARY.md, standalone viewer, screenshots, logs, and optional proofshot pr upload path are useful when AI-generated PRs need concrete review evidence.
Console capture, server-log capture, and multi-language error detection help catch broken UI work that would otherwise hide behind a clean diff.
Who Should Use ProofShot?
Frontend engineers using AI coding agents to build and change UI flows
Reviewers who want visual proof before accepting agent-generated pull requests
Teams running Claude Code, Codex, Cursor, OpenCode, Gemini CLI, or Windsurf in browser-based app repos
Builders who need lightweight evidence of console cleanliness, server health, screenshots, and interaction steps
Perfect For
Recording proof that an AI coding agent actually exercised a UI feature before a pull request is reviewed.
Catching console errors, server crashes, broken routes, and visually obvious regressions that a text-only coding agent might miss.
Adding lightweight visual evidence to PRs generated by Claude Code, Codex, Cursor, OpenCode, Gemini CLI, or Windsurf.
Creating a repeatable local verification workflow for frontend teams that want more than an agent saying the task is done.
Technical Details
ProofShot Comparisons & Alternatives
ProofShot review
ProofShot vs Playwright MCP
ProofShot vs Chrome DevTools MCP
visual verification for AI coding agents
Claude Code proof artifacts
Codex browser recording CLI
Developers compare ProofShot with other vibe coding tools when they need a better workflow fit, not just a better landing page.
Direct Competitors
Playwright CLI
Chrome DevTools MCP
Browser Use
Stagewise
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Do one more comparison before you commit to ProofShot
Strong picks usually survive one more internal check. Read deeper, compare a neighbor, then leave for the vendor page if the fit still holds.