ProofShot: Give AI Coding Agents Eyes to Verify UI They Build

2026-03-24T11:32:05.743Z·2 min read
ProofShot is an open-source, agent-agnostic CLI tool that closes this loop by giving AI coding agents a verification workflow. It records video proof, captures screenshots, collects console and ser...

The Blind Spot in AI-Driven Development

AI coding agents like Claude Code, Cursor, Codex, and GitHub Copilot have transformed software development — but they share a critical limitation: they can't see what they build. Agents write UI code blindly, unable to verify that the result looks right, functions correctly, or throws no errors.

ProofShot is an open-source, agent-agnostic CLI tool that closes this loop by giving AI coding agents a verification workflow. It records video proof, captures screenshots, collects console and server errors, and bundles everything for human review.

Three-Step Workflow

The system follows a simple start → test → stop pattern:

proofshot start --run "npm run dev" --port 3000 --description "Login form verification"

# 2. Test — the AI agent drives the browser
agent-browser snapshot -i      # See interactive elements
agent-browser open http://localhost:3000/login
agent-browser fill @e2 "test@example.com"
agent-browser click @e5
agent-browser screenshot ./proofshot-artifacts/step-login.png

# 3. Stop — bundle video + screenshots + errors into proof artifacts
proofshot stop

What You Get

Each verification session produces a timestamped folder with:

PR Integration

One of ProofShot's most powerful features is GitHub PR integration. Running proofshot pr automatically finds all sessions recorded on the current branch, uploads screenshots and video, and posts a formatted comment with inline media directly to the pull request.

Agent Support

ProofShot supports all major AI coding agents:

The proofshot install command automatically detects installed AI coding tools and installs the appropriate skill files. No vendor lock-in, no cloud dependency — everything runs locally.

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