Jengo
Resolue Production incidents

Production broke.The fix is waiting for your review.

Resolue correlates the signals from your monitoring tools, traces the root cause, writes the fix, verifies it on a preview deployment and opens a pull request with the evidence. Merging stays your move.

Incident in progressResolue
Error detectedFour signals correlated to one incident
00:00
Root cause foundOne line, in a commit from this morning
00:08
Fix verified on previewTests replayed, video and screenshots attached
01:45
Pull request readyDiagnosis, diff, evidence, confidence score
To merge
Nobody has been woken up yet. Nobody has merged yet.
Wired into your pipelineSentryGitHubVercelDatadogPlaywright
The sequence

From alert to evidence,without waking anyone.

A production alert rarely costs you the time of the fix. It costs you the time of the diagnosis — reading logs, finding the commit, reproducing the failure.

Resolue covers that ground while your team sleeps, and stops before the one step that actually commits: the merge.

Step 01

The signals converge

Sentry, runtime logs, application monitoring: an incident that touches several tools raises an alert in each of them. Resolue correlates them into one incident, with the number of users affected.

Step 02

The cause, not the symptom

Stack traces, breadcrumbs and recent commits are read together to name the file, the line and the change that introduced it. This is the part that takes an hour at three in the morning.

Step 03

A minimal fix, on a branch

The patch targets the cause and nothing else: the smallest change that settles the problem, pushed to a branch. Your platform builds the preview as it would for any other contribution.

Step 04

Verified against running code

Tests run against the preview URL, not a simulated environment. The path is replayed, recorded, captured. What reaches the pull request is a real execution, not a promise.

Step 05

You read, you merge

The pull request carries the root cause analysis, the diff, the test results, the video, the screenshots and a confidence score. Resolue does not merge. That line does not move.

What you get

Not every bug hasa fix to propose.

A tool that opens a pull request on every incident makes you review noise, and teaches you to stop looking.

Resolue grades what it understood and adapts what it delivers. An incident with no fix still returns the diagnosis.

High confidence — verified pull request

One file, a clear cause. The fix is written, deployed to a preview, replayed by the tests and recorded. The pull request arrives complete, ready to review.

Pull requestVideo and tests

Medium confidence — draft and caveats

The cause is identified, but the fix spans several files or carries side effects. The draft pull request states what was verified and what is left for someone to settle.

DraftPreview

Low confidence — diagnostic report

The problem sits in infrastructure, spreads too wide, or falls outside visible code. No pull request is opened. Your team receives the likely cause, the files involved and the related commits.

AnalysisContext
Not only incidents

Your AI writes the code.Resolue proves it works.

A pull request written by an assistant arrives with a test plan: a list of boxes someone is supposed to tick by hand, and that nobody really ticks.

Resolue reads that plan, runs each item against the preview deployment and ticks the boxes with the evidence of the run. Whether the contribution came from Claude Code, Cursor, Copilot or a developer on the team changes nothing about the treatment.

Talk to us about your project
What it plugs into

Your tools stayyour tools.

Resolue replaces neither your monitoring, nor your forge, nor your deployment platform.

It sits between them, where your team spends its triage hours today.

The signals it listens to
SentryDatadogOpenTelemetry
The pipeline it works in
GitHubVercelPlaywright

CloudWatch, PagerDuty, Slack, GitHub Actions, Cloudflare Pages and Netlify are being connected. Tell us which ones you run — that decides the order.

Going further

The questionswe get asked.

01Can Resolue merge on its own?

No, and it is not a setting to switch on. Resolue opens a pull request and stops. Merging, deploying to production and rolling back stay human acts, subject to your repository's rules.

02What happens when the diagnosis is wrong?

You see it before merging, because the pull request shows the run: the tests replayed on the preview, the video of the path, the before and after screenshots. A pull request that cannot carry that evidence is a draft, and it says so.

03Do we have to change our monitoring tools?

No. Resolue reads what you already run and writes into your forge. The connection is made on the access you grant, service by service, and is withdrawn the same way.

04What does Resolue see of our code?

What its access allows, repository by repository, and nothing beyond. Scope, data residency and log retention are settled with your team before the first connection — the same rules as the rest of the platform.

Start with the everyday

Start with your next alert.The one nobody wants to take at three in the morning.

Talk to us about your project

Thirty minutes to scope the process, the systems and the approvals. Or write to us at [email protected]