User message
Keep the sender’s words: the original message, who sent it, and where in the product they were.
SylvieSI reads what users send, sorts it into bugs and feature requests, prepares the change and tells the user when it is done. A person approves every change.
From your app, Slack or Gmail, with the sender identified and the original words kept.
Each one is labeled a bug, a feature request, a question or feedback. Duplicates are grouped.
A bug becomes a Case. Repeated requests become an Idea.
SylvieSI runs the steps to check whether the bug is real.
Error data, code and recent changes produce one of four results, each with its sources.
A Linear issue with a full handoff, or a branch and a draft pull request.
The approval names one exact change.
SylvieSI re-runs the failing step on staging and confirms the deployment.
The reply goes out on the original channel and counts as sent when the channel confirms it.
A new matching message proposes a re-open. The earlier outcome stays.

“The export downloaded twice.”
A message can arrive from your app, Slack or Gmail. SylvieSI identifies the sender, sorts the message and groups it with matching ones.
Keep the sender’s words: the original message, who sent it, and where in the product they were.
Try it again. SylvieSI runs the steps to see whether the bug is real.
Look for the cause. Error data and recent code changes show where to look. A lead is not yet a cause.
Every matching message is attached to one Case, ready for investigation.
Each follows its own path. Both end with a message to the sender.
Mobius gathers every request for the same need and lists the arguments for and against building it. A person chooses to build, defer, decline or hand the request to engineering, and writes down why. For a simple read-only feature, SylvieSI prepares an approved component for staging, tests it in a real browser and then writes to everyone who asked.
SylvieSI groups the bug reports and reproduces the bug. It traces the bug through error data and code and states how certain the result is. It sends a handoff to Linear or opens a draft pull request, and a person merges. SylvieSI then re-runs the failing step on staging and writes to everyone who reported the bug.
Before anything runs, a person sees the exact change, the environment, who it reaches, the risk and how to undo it.
Agents read, test and suggest the work.
A person approves. If the change is edited, the approval stops applying.
A controlled service performs the approved action.
“We reproduced the duplicate download. A fix is being reviewed.”
Updates go out on the channel the sender used. SylvieSI says a bug is fixed only after the fix has been checked.
Each Case ends with an outcome and the checks behind it.
The failing step works on staging, the fixed build is deployed, and the sender has been told.
A test passed but the bug remains. The remaining work has an owner.
The cause could not be found with the information available. SylvieSI lists what is missing and what to check next.
Tell us how bugs and requests reach your engineers today.
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