Background lines
Use cases/Support engineering

Use case · Support engineering

Engineering only sees cases
that need code changes.

When a technical case opens, Chip reads the history, matches it against resolved cases & drafts the fix. Engineering gets a ticket only when code has to change, with the diagnosis done.

4 minfrom case open to engineering briefed

Chip Build

Build it: the escalation dashboard & the Monday write-up

One prompt & Chip builds what Support & Engineering both read on escalations: the overgrown dashboard rebuilt in place so every bookmark still works & the week's escalations written up before the leadership call.

  • Instantly modify existing views

    Our escalation dashboard has grown a lot and it's hard to find what I need. Could you take a look and suggest how to simplify it?

    Open the same bookmark, pick your team in the filter bar & the whole page answers for your team.

    See the example
  • A weekly escalation write-up

    Every Monday I have to write up what happened with escalations last week for the leadership call. Can you do that instead of me?

    Every Monday before the call, the week's write-up is filed in the format the room already knows.

    See the example

Without Chip

Engineers get pulled into customer questions that have not been triaged. Your 9am standup is a support queue. Half the cases turn out to be configuration issues that never needed a code change at all.

With Chip

Engineering sees pre-diagnosed tickets. Chip has already run the root cause analysis, matched prior cases, and drafted the fix. Engineers open a ticket already oriented.

Live example

CASE-4891: analytics events missing. Root cause found in 4 minutes.

An Acme Corp user reported roughly 20% of afternoon analytics events missing after a product launch. Chip identified a MergeTree merge backlog caused by a default background_pool_size=16 failing to keep pace with a 4x write spike. It matched three prior resolved cases, proposed raising the setting to 128, and opened ENG-2847 in Jira, before engineering was paged.

CASE-4891 · Chip analysisENG-2847 created

Incoming case

~20% analytics events missing · Acme Corp · afternoon window

Reported after major product launch. Affected table: user_events. Customer suspects ingestion failure or silent drop.

Root cause

96% confidence

MergeTree merge backlog: merge rate fell behind 4× write spike

background_pool_size=16 (default) insufficient for write volume post-launch. INSERTs silently dropped into user_events.

Prior cases matched

CASE-4231
91%

Raised background_pool_size from 16 to 128; increased merge_max_block_size.

CASE-4198
84%

Added retry wrapper with exponential backoff in event_writer.py.

CASE-3892
76%

Tuned background_pool_size and distributed merge scheduling.

Proposed fix

background_pool_size=16background_pool_size=128

Add retry wrapper with exponential backoff in event_writer.py. Affected systems: ClickHouse cluster, analytics ingestion pipeline.

Jira ticket

ENG-2847 · Fix: merge pool sizing for write-spike conditions

Draft ready

How it works

01

Case arrives

Chip reads the full case history, reproduction steps, and any attached logs. No form to fill. No triage queue to join.

02

Root cause traced

Chip matches the failure against prior resolved cases, identifies the config or code pattern at fault, and assigns a confidence score to its diagnosis.

03

Fix drafted

A proposed change is written out, affected systems listed, and a Jira ticket created with the full diagnosis attached. Engineering is paged only if a code change is confirmed necessary.

Who benefits

Engineering teams

Monday morning starts with answers. You see a ticket with a diagnosis, and when Chip pages you the root cause is already named and a fix is already drafted.

Support teams

Complex technical cases do not stall at the handoff. Chip escalates with the failure mode, the matched prior cases, and a proposed fix. Not a wall of logs and a Slack ping.

Related use cases

See Chip diagnose a case from your queue.

We will run the analysis live against a case from your environment: root cause, matched priors, and Jira ticket draft.