One testing tool for the full bug lifecycle

Most testing tools handle one piece of the puzzle. VibeCheck covers the entire lifecycle — from manual testing with Track, to automated error monitoring with Watch, to AI-powered remediation with AI Fix. Capture bugs during QA, catch the ones that slip through to production, and fix the simple ones without waiting on developer availability.

Manual testing with Track

VibeCheck Track is a Chrome extension built for manual testers. Click record, walk through your test case, and stop when you find a bug. Track captures a screen recording, console logs, network requests, and every user interaction automatically. The result is a shareable bug report with enough context for developers to start fixing immediately — no reproduction needed.

Automated monitoring with Watch

Your test suite can't cover every user flow. VibeCheck Watch is a lightweight JavaScript SDK (under 30KB gzipped) that monitors your production site for errors 24/7. When a JavaScript error occurs, Watch captures the last 30 seconds of session replay, console output, network activity, and user actions. Errors are fingerprinted and grouped so your team sees patterns, not duplicates.

AI-powered remediation with AI Fix

Not every bug needs a senior developer. VibeCheck's AI Fix agent reads the full context from a Track recording or Watch error session — console errors, failed network requests, user actions — then analyzes your GitHub repository to propose targeted code changes. For typos, copy errors, color mismatches, and minor logic bugs, you get a pull request in minutes instead of days.

Connect every stage of the pipeline

Track recordings, Watch error sessions, and AI Fix attempts all live on the same platform. A bug caught during manual testing and the same bug hitting production are linked through shared context. Your team has a single source of truth for every issue — from discovery to fix — with integrations into GitHub, Jira, and Linear to fit your existing workflow.

Track: Chrome extension for manual bug capture with full context
Watch: Lightweight SDK for 24/7 production error monitoring
AI Fix: AI agent that reads bug context and creates pull requests
Quick Fix: Click elements on a page to suggest text and style changes
Session replay for both Track recordings and Watch error sessions
Error fingerprinting, deduplication, and trend grouping
Integrations with GitHub, Jira, and Linear
Repro Links for external tester bug submissions

Frequently asked questions

Cover the full testing lifecycle in one platform

Manual capture. Automated monitoring. AI-powered fixes. All connected.