trackjs.com

TrackJS is a frontend-native JavaScript error monitoring tool that captures what broke in production, reconstructs the events leading up to it, and helps you filter and fix it. It fits teams shipping JavaScript (including AI-generated, contractor, or third-party code) who need runtime context rather than just a stack trace. A free trial is available and, per the site, requires no credit card.

What TrackJS actually captures

When an error fires in a user's browser, TrackJS records the error alongside the runtime context around it. The site describes this as giving you "the full story behind every error" — the goal being to show what broke, how it happened, and how often, so you can fix it before it escalates into an incident.

The tool is described as private by default, with zero page overhead, and compatible with every browser and framework.

The four mechanisms that do the debugging work

1. Telemetry Timeline — reconstruct the sequence before the error

Instead of a single stack trace, you get a chronological timeline of what happened before the error:

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

This matters because most production errors aren't caused by the line that throws — they're caused by a sequence of events (a failed request, then a click, then a navigation). The timeline lets you see that sequence rather than guess at it.

2. Discoverable Error Filters — find the pattern without a query language

Filtering is designed to require no query language and no learning curve. You get:

• One-click filters
• Automatic highlighting of trends across users, browsers, and pages
• Instant search to zero in on what matters

The practical effect: when an error spikes, you can quickly answer "is this one user, one browser, or everyone?" without writing a query.

3. Unlimited Ignore Rules — keep the dashboard actionable

Third-party scripts and expected errors generate noise. TrackJS provides server-side ignore rules, unlimited on every plan. You create custom rules based on any error criteria to automatically filter out:

• Known issues
• Third-party glitches
• Low-priority warnings

The result is a dashboard focused on errors that actually impact users.

4. AI Code Debugger — turn the error into a suggested fix

The AI Debugger analyzes the error telemetry, browser data, and source code to explain what went wrong and how to fix it. According to the site, it surfaces senior-level debugging insights including framework-specific quirks and browser edge cases.

How the pieces fit together

Getting started

Installation is described as adding TrackJS to your frontend in minutes, with an 8kb footprint. From there, errors flow into the dashboard where the timeline, filters, ignore rules, and AI Debugger apply.

When TrackJS is a good fit

• You ship JavaScript to production and errors only appear for real users, not in your test suite.
• You're shipping AI-generated, contractor, or third-party code and need runtime context to debug what those sources miss.
• Your current error feed is noisy and you want server-side ignore rules without paying extra per plan.
• You want filtering that a non-specialist can use without learning a query syntax.

If you only need local stack traces during development, or you don't yet have production traffic, the runtime-context features have less to work with.

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.

TrackJS is added to a frontend project by including a small JavaScript snippet (about 8kb) and initializing it with your token, and the vendor describes the impact on page performance as "zero page overhead." It is compatible with every browser and framework and is private by default, so it is intended to run in production. The exact snippet, token setup, and framework-specific instructions are not in the source material, so treat those as steps to confirm on the TrackJS site or in your account.

What the source material supports

• Integration effort: "Add TrackJS to your frontend in minutes."
• Script size: The page references an "8kb" script.
• Performance: Described as "zero page overhead" and "zero page impact."
• Compatibility: "Compatible with every browser and framework."
• Privacy: "Private by default."
• Environment: Built for monitoring production JavaScript.

These are vendor claims from the TrackJS site. They tell you what TrackJS is designed to do, not a measured result in your own app.

What you can verify yourself

Because the source does not include the actual install snippet or a framework-by-framework guide, the practical path is:

1. Get your token. Create an account or start the free trial, then copy the token from your TrackJS dashboard. The page states "No credit card required" for the trial.
2. Add the script. Place the TrackJS script in your frontend so it loads before the code you want monitored. The source does not specify the exact tag or module format, so follow the current instructions in your TrackJS account.
3. Initialize with your token. The script needs your token to associate errors with your account.
4. Trigger a test error. Throw a deliberate error in a staging or test page and confirm it appears in the TrackJS dashboard.
5. Check the report. Use the sample report on the site to see what a captured error looks like before you rely on it.

Verifying performance impact

The "8kb" and "zero page overhead" claims are the vendor's. To check them in your own context:

• Measure your page with the script absent, then with it present, using the same conditions.
• Compare load and interaction metrics rather than trusting a single number.
• Confirm the script is not blocking rendering in a way that matters for your users.

If the measured difference is acceptable for your performance budget, the integration is effectively free at the page level for your app.

Common sticking points

• Token placement: If errors do not appear, the token is the first thing to check.
• Load order: A monitoring script that loads after the code it should catch may miss early errors.
• Framework differences: "Compatible with every browser and framework" does not mean the setup is identical everywhere; confirm the current guidance for your framework.
• Privacy expectations: "Private by default" is a vendor statement. If you handle sensitive data, review what the script captures before enabling it in production.

What TrackJS gives you once installed

The value is in the context, not just the error count. The site describes:

• Telemetry Timeline: a chronological view of network requests, user interactions, console logs, and navigation events leading up to an error.
• Error filters: one-click filtering and searching with no query language to learn.
• Ignore rules: server-side rules, unlimited on every plan, to filter third-party and expected errors.
• AI Debugger: analysis of error telemetry, browser data, and source code to explain what went wrong and suggest fixes.

If your goal is simply to know whether TrackJS is easy to add and light on the page, the source answers both: minutes to integrate, roughly 8kb, and described as zero page overhead. The remaining work is confirming the current snippet and token flow in your own project.

TrackJS offers a free trial that you can start without a credit card. The site links to a dedicated pricing page for plan details, and the trial is the intended way to evaluate the product before paying. If you need exact plan tiers or current prices, check that pricing page directly, since the available site material confirms the trial and the pricing page's existence but does not list specific figures.

What the free trial includes

The trial is presented as the primary entry point: "Start free trial" appears alongside "No credit card required." That means you can evaluate TrackJS on a real frontend without entering payment details first.

The trial is also framed around the full product rather than a stripped-down demo. The site states that unlimited ignore rules are included "with every plan," so the filtering and noise-reduction features are not gated behind a higher tier.

How pricing is structured

The site does not publish specific prices, plan names, or payment platforms in the material available here. Treat any number you see elsewhere as unverified until you confirm it on the pricing page.

What you get regardless of plan

TrackJS is a frontend-native JavaScript error monitoring tool. Its core capabilities apply across plans:

• Telemetry timeline — a chronological record of network requests, user interactions, console logs, and navigation events leading up to each error.
• Error filtering and search — one-click filters with no query language to learn, plus automatically highlighted trends across users, browsers, and pages.
• Unlimited ignore rules — server-side rules based on any error criteria, explicitly included with every plan.
• AI Debugger — analyzes error telemetry, browser data, and source code to explain what went wrong and suggest fixes.
• Privacy and performance — private by default, described as zero page overhead, and compatible with every browser and framework.

How to decide

Start the free trial if you want to see real production errors in your own app before committing. Because no credit card is required, the cost of trying it is time, not money.

Check the pricing page before you rely on the trial for a long evaluation, especially if you need to know seat counts, event volume limits, or billing terms. The site confirms a pricing page exists but does not state those details in the material available here.

If unlimited ignore rules matter to you, note that the site says they are included on every plan — so that feature alone does not require upgrading.

TrackJS helps debug AI-generated code by capturing the runtime context that AI tools don't have when they write the code: a chronological timeline of what happened before each error, how often it occurs, and which users and browsers are affected. It's built for teams shipping AI-assisted, contractor, third-party, or deadline-driven code that breaks in production in ways nobody anticipated. You'd use it when errors reach production and stack traces alone don't explain the cause.

Why AI-generated code is hard to debug in production

AI code ships fast, and so does code from contractors, third-party libraries, and your own team under deadline. TrackJS's own framing is blunt about the result: all of it eventually breaks in ways nobody anticipated. The problem isn't that AI writes bad code — it's that when something fails, you often lack the context to understand what the code was doing at that moment.

A stack trace tells you where an exception was thrown. It doesn't tell you what the user clicked, which network request had just failed, or what the console logged two seconds earlier. That missing context is exactly what makes AI-generated errors "inscrutable," as one TrackJS customer put it: "AI got us shipping twice as fast, but the production bugs were inscrutable. TrackJS gave us the runtime context to fix what the AI couldn't."

What TrackJS captures that AI tools don't

TrackJS is a frontend-native JavaScript error monitoring tool. Its core value for AI-generated code is runtime context, frequency, and impact — the three things you need to decide whether an error is worth fixing and how to reproduce it.

Telemetry Timeline

For each error, TrackJS shows a chronological timeline of:

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

This is the "full story behind every error." Instead of guessing what state the app was in, you see the sequence that led to the failure. The tool is described as private by default, with zero page overhead, and compatible with every browser and framework.

Frequency and impact

TrackJS shows what broke, how it happened, and how often it's happening — so you can judge whether an error is a rare edge case or a growing incident. That frequency data is what turns a raw error into a prioritization decision.

Error filtering and search

Filtering requires no query language. Trends across users, browsers, and pages are automatically highlighted, and filtering is one-click. This matters for AI-generated code because errors often cluster around specific browsers or edge cases that are hard to spot manually.

Unlimited ignore rules

Every plan includes unlimited server-side ignore rules. You can create custom rules based on any error criteria to filter out known issues, third-party glitches, or low-priority warnings. This keeps the dashboard focused on actionable errors — useful when AI-assisted development produces a high volume of noisy or expected errors.

The AI Debugger

TrackJS includes an AI Code Debugger that analyzes error telemetry, browser data, and source code to explain what went wrong and how to fix it. According to TrackJS, it provides senior-level debugging insights for each error, including framework-specific quirks and browser edge cases.

The practical distinction: instead of decoding a stack trace yourself, you get an explanation grounded in the same runtime telemetry captured above. That's the mechanism — the debugger's output is only as good as the context feeding it, which is why the Telemetry Timeline matters.

Who this fits

TrackJS is relevant if you:

• Ship AI-generated or AI-assisted frontend code and struggle to reproduce production errors
• Maintain code from contractors or third-party libraries you don't fully control
• Want error context without adding page weight (the integration is described as 8kb)
• Need to filter noise from expected errors without writing query logic

It's a frontend JavaScript error monitoring tool, so it targets browser-side errors rather than backend or infrastructure monitoring.

Getting started

TrackJS describes installation as adding it to your frontend in minutes, with the integration noted at 8kb. The site offers a free trial with no credit card required, and a sample report you can view before signing up. Pricing details are listed on the TrackJS pricing page.