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Silent-failure detection for software teams without QA

Your agent says "done". Did it actually happen?

Find what broke without anyone noticing, see the change behind it, and know who owns the fix.

See what reached main unchecked Book a 20-min call

No credit card · Read-only GitHub access · Your code is never stored · See a live example

Signup emails · last 7 daysexample
40200 release MonThuSun
  • Signup said "success"
  • Welcome emails sent
  • After the release
Accounts created312
Welcome emails sent0
FOUNDThe signup said "success"No error. No alert.
TRACEDAn AI-written change to the email stepMerged without a human review.
ASSIGNEDTo the developer who owns that stepWith the evidence and a check to add.

Your first hour

  1. Connect GitHubRead-only. Your code is never stored.
  2. See what slipped throughEvery change merged with no person's review.
  3. Connect your error trackerSentry, connected from the report.
  4. See what brokeThe change behind each production error.
  5. Hand it overTo the owner, with the evidence attached.

Silent failures

No crash. No alarm. Just money, leaking.

  • Signup

    The welcome email that never left

    A new user signs up. The app says success. The email never arrives, and they never come back.

  • Billing

    The payment that never reached the invoice

    The customer paid. One webhook failed, nothing retried it, and the invoice was never sent.

  • AI changes

    The change nobody really reviewed

    An agent wrote it, the tests were green, someone approved it in a hurry. One flow quietly stopped working.

  • Fixes

    The fix that came back

    It gets patched in one place. No check is added. It comes back.

Examples, not customer cases.

In an agentic world, nobody looks at a screen anymore. The agent says "done". Who checks it actually happened?

AI now writes about half of new code, and pull requests have nearly doubled in size (DX, Q2 2026, self-reported). Review can't keep up. So check the outcome, not every line.

We make silent failures loud.

Get your free report

How it works

Detect it. Trace it. Assign it. Prove it.

  1. Detect

    What broke without anyone noticing. A signup, a payment, a sync: we take one thing your product promises and check what it said it did against what really happened.

  2. Trace

    Why it broke: the release and the change it started with, including AI-written ones. With the evidence, in plain language.

  3. Assign

    Who fixes it. The right person gets the finding with its evidence and a check to add, so it can't silently happen again.

  4. Prove

    That the fix works. A fix counts when its check fails on the bug and passes on the fix, before the release goes out.

Who sees what

One leak, start to finish

The welcome email that never left.

On a simulated app. Fictional company and data.

  1. PromiseEvery signup gets its emailThe check you agreed with us
  2. ChangeAn AI-written changeTo the email step, no human review
  3. ReleaseDeployed at 12:02All tests green
  4. Production0 errorsLooks green
  5. Outcome312 created, 0 sentCounted by your own job
  6. OwnerWho owns the email stepGets the evidence in Slack
  1. FOUND312 accounts created, 0 welcome emails sent.The signup screen said "success". Nothing alerted.
  2. TRACEDAn AI-written change to the email step.Merged two days earlier without a human review. No error was logged; the signup kept saying success.
  3. ASSIGNEDA signup counts as done only when the email provider confirms it.The developer who owns the step gets the check. It catches the leak today and passes after the fix.

Connect the outcome

Two numbers your own job already knows.

We don't track your users or read your database. Once an hour, a short script in your pipeline sends what your product promised and what it delivered. We compare the two, and each one against its own usual level.

{"counts": [{
  "flow": "welcome-email",
  "window_start": "2026-10-29T14:00Z",
  "window_end": "2026-10-29T15:00Z",
  "promised": 312,
  "delivered": 0
}]}
  • Any promise you can countAccounts created and emails sent. Payments taken and invoices booked. Runs the agent called "done" and the work that really happened.
  • Silence is a leak tooA flow that stops reporting is not "all fine". It shows up like any other leak.
  • Money only at your priceWe put a figure on a leak only when you tell us what an hour of it costs.
  • A key for one productIt can report results for that one product and nothing else. It expires, and you can revoke it at any time.

Already counting it in PostHog, Mixpanel or Amplitude?

Skip the script: we read the count from your analytics tool.

We read one number per day for each event you name. Never a person, a property or a recording.

PostHog
  1. 1. Make a read-only keyIn PostHog, create a personal key with only the query:read and project:read scopes.
  2. 2. Connect itIn breakmy.AI, open Integrations, then PostHog. Paste the key and pick your region (EU or US) and project id.
  3. 3. Name what to watchOne line per event, like "checkout: Checkout clicked". For a click PostHog captured on its own, make a PostHog action and write "checkout: action:42".
Mixpanel
  1. 1. Make a read-only accountIn Mixpanel, create a service account with the Consumer role on this project only. Set the project's time zone to UTC, or each day is shifted by its offset.
  2. 2. Connect itIn breakmy.AI, open Integrations, then Mixpanel. Paste the account's username and secret and pick your region (US, EU or India) and project id.
  3. 3. Name what to watchOne line per event, like "checkout: Checkout Completed".
Amplitude
  1. 1. Copy the project's keysIn Amplitude, open the project's settings and copy its key and its secret key. They can read the whole project; we only ask for event totals.
  2. 2. Connect itIn breakmy.AI, open Integrations, then Amplitude. Paste both keys and pick your region (US or EU).
  3. 3. Name what to watchOne line per event, like "checkout: Checkout Completed".

Then add the check. Each line shows up as a flow. It is compared with the same weekday of earlier weeks, so a quiet weekend is not a leak. Nobody is told until you add the check.

Where you'll see it

It comes to you. Nobody has to open another tool.

Your team works in Slack and in their coding agent. That is where a leak shows up, with its evidence, and where it is picked up. Bigger decisions open breakmy.AI.

  • In Slack

    One message per problem. What happens next is a reply in its thread: a cause found, someone on it, delivering again.

    breakmy.AI · #eng-alerts
    Signup email is not delivering
    • Signup → welcome email: 312 promised, 0 delivered in the last window (−100%).
    • Owner: Team Growth
    • Last production deploy before it started: 18 min earlier.
    • PR #418 Move email to a background job · shipped in that deploy · an agent wrote some of it, no person reviewed it
    • A possible lead, not a cause.
    See what was not deliveredSeenI'll take itNot a problem
    2 repliesPicked up by Team Growth in breakmy.AI.Delivering again: 298 delivered of 301 in the last window.

  • In your coding agent

    Ask Claude Code or Cursor what is broken. breakmy.AI answers inside the agent: the issue, where it broke, what changed and the proposed fix. Read-only.

    > what's broken in production for signup? ● breakmy.AI · get_open_issues [HIGH] Signup email is not delivering ● breakmy.AI · get_flow_checks promised 312, delivered 0 · owner: Team Growth PR #418 (in that deploy, agent-written, no person's review) a lead, not a cause

  • On the pull request

    When a finding cites the change behind it, the finding can go on that pull request as a comment. Only after a person clicks, and only with a token you add for it.

    breakmy.AI commented
    • Probable cause of a finding: this change.
    • Failing line: billing/invoice.py:88
    • Owner: the code's owner on record.

Seen, I'll take it and Not a problem work from Slack. Releases are approved in breakmy.AI, signed in.

Sits on top of the tools you already have. Read-only.

Nothing to install in your product. We read; your team decides what changes.

What we read, write and keep
We readYour error tracker, your code history, your deploys and CI results. Read-only.
We needRead access to one product, and one promise it should keep, like "every signup gets its email". We build the check for that promise with you. We never touch your production systems.
Where data runsEU hosting. AI model provider and sub-processors named in writing, with standard contractual clauses in the DPA, before you connect anything.
We writeNothing without your approval. A new check goes live only after a named person on your team says yes.
We never storeYour source code or request payloads. We read code changes to analyse them; we don't keep them. Error summaries are deleted after 30 days.
Every findingLinks to the evidence it came from. A guess is labelled as one and waits for a person.
PeopleWe never score, rank or compare people. A finding goes to the code's owner, not into a performance review.
Not yetPentest and ISO 27001 (both planned). Revoking access takes one click in each tool.

Built by someone who has chased these failures for 17 years.

Thomas has worked in software quality for 17 years. Book a call and he goes through your report with you.

Free report

See what reached main that nobody checked.

For software teams of 10 to 80 without dedicated QA. Connect GitHub read-only and pick your repositories. You get the last 90 days: which code changes went in without a person's review or a passing test, how many an agent wrote, and a link to share with your team.

Get your free report Or book a 20-min call

Questions people ask

We already have Sentry.

Good, we read it. It tells you when something crashes. We tell you when nothing crashed and the work still didn't happen.

Is this only for AI-written code?

No. AI makes it more common, because code now ships faster than anyone reviews it. A silent failure looks the same whoever wrote the change.

What does the free report need from us?

Read access to the repositories you pick, through breakmy's GitHub App. We read who opened, reviewed and tested each change; we don't keep your code. Nothing runs on your servers.

Do we have to open another tool every day?

No. A leak comes to Slack and to your coding agent, with its evidence, and you can pick it up from Slack. Bigger decisions open breakmy.AI.

Do you change anything in our systems?

No. We read. A new check goes live only after your team says yes.

What if breakmy.AI is wrong?

Every finding links to the evidence it came from. A check counts only when it catches the leak and passes on the fix.