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Error monitoring

Error monitoring that ends with a fix, not a stack trace

ROOKON captures exceptions from the browser and your server, groups duplicates into issues, shows exactly who was affected and, with your own AI provider, explains the cause and drafts a change for you to review.

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The problem

A stack trace is where the work starts

Error trackers are good at collecting exceptions. Then the real work begins: reproduce the bug, find the code, judge whether it matters, write and ship the fix. That loop is where small teams lose whole days.

  • Hundreds of events for what is really one bug
  • No link between an error and lost signups or revenue
  • Minified traces that point nowhere useful
  • Bugs that only appear in some browsers or for some users

Live demo 1 of 3

Investigate a simulated error

Simulated data. Open an error to see its stack trace with source context, the breadcrumbs that led to it and who it affects.

  • Open the TypeError and read the breadcrumbs
  • Press “Explain this error”

rookon · acme-cloud · errors

Simulated data

TypeError

Cannot read properties of undefined (reading 'priceId')

PlanSelector (src/components/billing/PlanSelector.tsx) · release v2.14.0 · first seen 2d ago

Live

Stack trace

PlanSelector in src/components/billing/PlanSelector.tsx42:31

40  const interval = readSavedInterval();41  const price = plan.prices.find((p) => p.interval === interval);42  const priceId = price.priceId;43  const onUpgrade = () => startCheckout(priceId);

BillingPage in src/app/billing/page.tsx18:7

renderWithHooks in node_modules/react-dom/cjs/react-dom-client.production.js8131:18

Breadcrumbs

  1. 16:57:41navigation/dashboard → /billing
  2. 16:57:44storagelocalStorage billing.interval = "yearly"
  3. 16:57:46ui.clickbutton “Upgrade to Pro”
  4. 16:57:46errorTypeError: Cannot read properties of undefined
  5. 16:57:47ui.clickbutton “Upgrade to Pro” ×4 (rage click)

How ROOKON helps

What you get

  • Grouping that matches how you think

    Exceptions are fingerprinted by type, message and in-app stack frames, so one bug appears once, with an occurrence count and first and last seen times.

  • Impact before volume

    Each issue shows affected users, interrupted sessions and the pages or funnel steps involved, so severity reflects what customers felt rather than how noisy the error is.

  • Readable stack traces

    Upload source maps during your build and frames point at your original code. With GitHub connected, ROOKON can show the surrounding source from your repository.

  • Breadcrumbs and the session behind it

    See the clicks, navigations and network requests that led up to an exception, and open the session replay to watch it happen.

  • Release tracking

    Tag events with a release to see when an error first appeared and confirm whether a deploy actually fixed it.

  • Diagnosis with your AI provider

    Send the gathered context to the AI provider you configured and get a structured explanation of the cause plus a proposed code change.

Live demo 2 of 3

Errors and failed requests as they happen

A simulated stream filtered to errors. Pause it and inspect any event to see how ROOKON groups and links it.

  • Pause the stream
  • Inspect a failed request

rookon · acme-cloud · live events

Simulated data

What happens when an error occurs

  1. 01

    Capture

    The SDK records the exception with its stack, browser, release and privacy-filtered context.

  2. 02

    Group

    ROOKON matches it to an existing issue or opens a new one, so duplicates never flood your inbox.

  3. 03

    Measure impact

    Affected users, sessions and conversion steps are counted, and severity is set from that impact.

  4. 04

    Diagnose

    On request (or automatically, if you enable it), your AI provider analyzes the trace, breadcrumbs and relevant code.

  5. 05

    Propose

    A suggested change is prepared as a diff. If you authorize it, ROOKON opens a pull request for your team to review.

Live demo 3 of 3

From stack trace to a plain-language fix

Simulated output from your own AI provider: what happened, why it matters, who is affected and exactly what to change.

rookon · AI analysis · bring your own provider

Simulated data
1 · Your AI provider

Keys are encrypted at rest and only used server-side. The browser only ever sees a masked hint.

2 · Detected issue

“Upgrade to Pro” fails for customers with a legacy billing setting

212 users affected so farLive

ROOKON gathers the evidence, sends it to Anthropic Claude with your key, and returns a recommendation that answers six plain-language questions.

Try: Press “Generate recommendation”

FAQ

Common questions

Which languages and frameworks are supported?

ROOKON starts with JavaScript and TypeScript in the browser and Node.js on the server. More SDKs are on the roadmap, and the supported list will be published in the documentation as each one ships.

Does ROOKON store personal data from error reports?

Error payloads pass through privacy filters before they are stored: input values are masked and you can configure scrubbing for fields such as emails or tokens. Retention is configurable, and expired data is deleted automatically.

How is severity decided?

Severity combines the error type with its measured impact: how many users and sessions were affected, and whether it occurred on a critical path such as signup or checkout. You can override it on any issue.

Will ROOKON fix errors on its own?

No. ROOKON can propose a fix and, with your authorization, open a pull request. You accept it first, and nothing merges without a person tapping Merge. Deploying stays with your pipeline.

Do I need to connect GitHub for error monitoring?

No. Error capture, grouping, impact and replay work without any repository access. Connecting GitHub adds source context and the option to receive fixes as pull requests.

Related

Go from exception to reviewed fix

Sign up, add the snippet and see your first errors grouped and explained.

Get started with ROOKONExplore live demo