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Recording of the visual regression run on Weavz — app walkthrough · Weavz — app walkthrough.

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Passed ✓

Test recording

Weavz — app walkthrough

46,904 ms · 128,358 pixels changed

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export async function test(page, baseUrl, screenshotPath, stepLogger) {
  const shot = (n, slug) => screenshotPath.replace('.png', `-${n}-${slug}.png`);

  await page.context().setExtraHTTPHeaders({
    'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36'
  });

  const routeBlock = async (p) => {
    for (const pattern of [
      '**/cdn-cgi/scripts/**/email-decode.min.js',
      '**/cdn-cgi/scripts/**/cloudflare-static/**',
      '**/sentry-cdn.com/**',

+70 more lines — claim the test to get the full code.

Checks run

Run

✓

Visual

90.95%

Text

—

DOM

✓

Network

+27 −0

Console

✓

A11y

B

Perf

207 over

URL

✓

Variables

—

128,358

Diff px

47s

Duration

B

Accessible

WCAG 2.2 · 80

Review

Fast

Web Vitals

Notes from the demo run

AI-generated

Weavz governs AI agent access via MCP protocol. Developer-oriented dashboard with tabbed navigation across Overview, Templates, Workspaces, Connections, MCP Servers, Playground, API Keys, Activity, and Billing. Primary interaction is provisioning MCP server connections that control what AI agents can access.

Highlights

MCP Server Management
First-class MCP server provisioning for AI agent governance
Workspaces
Multi-workspace architecture for scoped access control
Connections
OAuth/API connections to external services for agent access
Playground
Built-in testing environment to verify agent behavior
Activity Log
Audit trail for all agent actions — critical for compliance
API Keys
Fine-grained API key management with scoping

Friction points

Developer-heavy onboarding
Setup requires MCP protocol knowledge — not self-evident for non-technical users

5 visual changes

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Earned · Lastest awards

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LASTEST

starter

regressions

0

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57,257 test runs recorded · 1,158 products tested with Lastest

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