What is TrackJS and what does it do?

TrackJS is a frontend-native JavaScript error monitoring tool. It watches JavaScript running in production, and when something breaks, it shows you what broke, how it happened, and how often it's happening — so you can fix it before it turns into an incident. It's aimed at teams shipping JavaScript fast (including AI-generated code, contractor code, and third-party libraries) who need runtime context to debug errors they can't reproduce locally.

What problem it solves

Shipping JavaScript is fast; debugging it without context is hard. Code from AI tools, contractors, third-party libraries, and your own team under deadline all eventually breaks in ways nobody anticipated. TrackJS is built to give you the runtime context, frequency, and impact to fix those errors before they become incidents.

Core capabilities

Telemetry Timeline — the full story behind every error

For each error, TrackJS provides a chronological timeline of what happened before it:

• Network requests
• User interactions
• Console logs
• Navigation events

This is the context that's usually missing when you're staring at a stack trace in production.

Discoverable error filters

Filtering and searching require no query language to learn. Trends across users, browsers, and pages are automatically highlighted, and filtering is one-click. The stated goal is to identify patterns fast without a learning curve.

Unlimited ignore rules

Server-side ignore rules let you cut noise from third parties and expected errors. Rules can be based on any error criteria, and they're unlimited on every plan. This keeps the dashboard focused on actionable errors that affect users.

AI Code Debugger

The AI Debugger analyzes error telemetry, browser data, and source code to explain what went wrong and how to fix it. It's positioned as senior-level debugging insight per error, including framework-specific quirks and browser edge cases.

Operational characteristics

Who it's for

Teams that ship JavaScript to production and need to catch and diagnose errors before users report them. The site quotes Cory House, CEO at Bitnative: "With TrackJS, we're empowered to proactively resolve UI errors the moment they occur instead of passively waiting for customers to report issues." Another quoted user notes that AI sped up shipping but produced inscrutable production bugs, and TrackJS supplied the runtime context to fix what the AI couldn't.

Trying it

The site offers a free trial and a sample report. The trial signup states no credit card is required. For current pricing and plan details, check the pricing page directly, since the available material doesn't list specific prices.

What to verify before committing

• Whether the "zero page impact" claim holds under your own performance budget — test with the 8kb script in your stack.
• How well the AI Debugger handles your specific framework and browser edge cases; the sample report is the fastest way to judge output quality.
• Whether server-side ignore rules cover the third-party noise your app actually generates.
• Pricing and plan limits, which aren't specified in the source material.