Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/1b2c383f-586b-47dd-aa39-06004cccda45

Run Locally

Prerequisites: Node.js

1. Install dependencies: npm install
2. Set the GEMINI_API_KEY in .env.local to your Gemini API key
3. Run the app: npm run dev

Dataflow Vuln Metrics Dashboard

The dataflow-vuln area of the metrics dashboard is split into three focused modules:

1. pages/execution/binarySecurityMetricsDataflowVuln.tsx Presentation components for the dedicated observability, AI, and sample-scope sections.
2. pages/execution/binarySecurityMetricsDataflowVulnBuilders.ts dataflow-vuln-specific view-model builders and raw sample scope rules.
3. pages/execution/BinarySecurityMetricsDashboardPage.tsx Shared shell, service switching, generic metrics parsing, and top-level state orchestration.

Smoke Check

Use the lightweight smoke check below after editing the dataflow-vuln dashboard helpers:

npm run smoke:dataflow-vuln-metrics

This verifies:

1. sample-scope filtering
2. dataflow-vuln observability view-model fields
3. dataflow-vuln AI view-model fields