v0 testing

Playwright Tests Timing Out on CI Pipeline

Your Playwright end-to-end tests pass consistently in local development but timeout or fail intermittently on CI platforms like GitHub Actions, Vercel, or GitLab CI. Tests that complete in seconds locally take minutes on CI before being killed by the timeout, and the same test suite may pass on one run and fail on the next.

CI environments have significantly fewer resources than developer machines. Shared runners have limited CPU, memory, and no GPU acceleration for browser rendering. Combined with the overhead of starting a Next.js development server and launching browser instances, tests that are fast locally can exceed CI timeouts by a large margin.

V0-generated Playwright configurations often use default settings optimized for local development, not for resource-constrained CI environments where tests run headless on shared infrastructure.

Error Messages You Might See

Test timeout of 30000ms exceeded Page.goto: Timeout 30000ms exceeded waiting for navigation browserType.launch: Failed to launch browser Error: Server not ready after 60s timeout flaky test: passed 2/5 runs
Test timeout of 30000ms exceededPage.goto: Timeout 30000ms exceeded waiting for navigationbrowserType.launch: Failed to launch browserError: Server not ready after 60s timeoutflaky test: passed 2/5 runs

Common Causes

  • Dev server slow to start on CI — next dev takes 30+ seconds on CI runners, causing tests to start before the server is ready
  • Default timeouts too short — Playwright's 30-second default timeout insufficient for CI rendering speeds
  • Too many parallel workers — default worker count matches CPU cores, which overwhelms CI runners with limited resources
  • Browser installation missing — Playwright browsers not cached between CI runs, adding minutes to each pipeline
  • Animations and transitions — CSS animations that complete instantly locally take full duration on underpowered CI
  • Network requests to external services — tests hitting real APIs that are slow or rate-limited from CI IP addresses

How to Fix It

  1. Use production build — run next build then next start instead of next dev for faster, more consistent performance on CI
  2. Increase timeouts — set timeout: 60000 in playwright.config.ts and per-test timeouts for slow operations
  3. Limit workers — set workers: 1 or workers: process.env.CI ? 1 : undefined to prevent resource contention on CI
  4. Cache Playwright browsers — add browser cache to your CI configuration to avoid downloading browsers on every run
  5. Wait for server properly — use webServer: { command: 'next start', url: 'http://localhost:3000', reuseExistingServer: !process.env.CI }
  6. Mock external APIs — use Playwright's route.fulfill() to mock external API responses and eliminate network dependencies

Real developers can help you.

Daniel Vázquez Daniel Vázquez Software Engineer with over 10 years of experience on Startups, Government, big tech industry & consulting. ISHANTDEEP SINGH ISHANTDEEP SINGH Senior Software Engineer with 7+ years of experience in React, JavaScript, TypeScript, Next.js, and Node.js. I’ve also worked as a tech lead for startups, owning end-to-end technical execution including architecture, development, scaling, and delivery. I bring a strong mix of hands-on coding, product thinking, and technical leadership, and I’m comfortable building products from scratch as well as improving and scaling existing systems. Simon A. Simon A. I'm a backend developer building APIs, emulators, and interactive game systems. Professionally, I've developed Java/Spring reporting solutions, managed relational and NoSQL databases, and implemented CI/CD workflows. Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. Rudra Bhikadiya Rudra Bhikadiya I build and fix web apps across Next.js, Node.js, and DBs. Comfortable jumping into messy code, broken APIs, and mysterious bugs. If your project works in theory but not in reality, I help close that gap. Jaime Orts-Caroff Jaime Orts-Caroff I'm a Senior Android developer, open to work in various fields Matthew Jordan Matthew Jordan I've been working at a large software company named Kainos for 2 years, and mainly specialise in Platform Engineering. I regularly enjoy working on software products outside of work, and I'm a huge fan of game development using Unity. I personally enjoy Python & C# in my spare time, but I also specialise in multiple different platform-related technologies from my day job. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/ Pratik Pratik SWE with 15+ years of experience building and maintaining web apps and extensive BE infrastructure Meïr Ankri Meïr Ankri Full-stack developer specializing in React / Next.js / Node.js with 6+ years of experience. I've worked across various sectors including automotive (Reezocar/Société Générale), healthcare (Medical Link SaaS), and e-commerce (Glasman). I build web apps end-to-end, from architecture to production, with a focus on scalability, performance, and code quality. I also mentor junior developers and contribute to technical decisions and code reviews.

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Frequently Asked Questions

Why do tests pass locally but fail on CI?

CI runners have less CPU, memory, and no GPU. Tests that complete in milliseconds locally can take seconds on CI. Increase timeouts and reduce parallelism.

How do I cache Playwright browsers on GitHub Actions?

Use actions/cache with key based on playwright version: path: ~/.cache/ms-playwright, key: playwright-${{ hashFiles('package-lock.json') }}.

Should I use next dev or next start for CI tests?

Always use next build && next start for CI. The production build is faster, more consistent, and closer to what users actually experience.

Related v0 Issues

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