Amplitude can't answer it solo.
GitHub (PRs, CI) in Amplitude is only one input; the incident review stalls without test coverage from GitHub alongside it.
Build a Deploy Risk Assessment Agent withAmplitude, GitHub, and Linear
Engineering teams run incident reviews on stale, scattered data: Amplitude + GitHub + Linear each hold a piece, none hold the whole. Large deploys to critical services need scrutiny.
Deploy Risk Assessment runs on incident data split across 3 tools.
The incident review pays for it.
The incident review pays for it.
GitHub tells a different story.
What GitHub knows about test coverage from GitHub rarely flows back to Amplitude. Two tools, one unreconciled gap.
The signal hits Linear first.
Linear sees check Sentry for recent error trends shift before anyone, yet the incident review owner hears about it last.
Under The Hood
Ask once. Deploy risk assessment reads Amplitude, GitHub, and Linear for you. Already connected.
01
Read analyze PR diff size from Amplitude (product analytics)
GitHub (PRs, CI)
02
Pull test coverage from GitHub from GitHub (engineering stack)
Sentry (error baselines)
03
Query check Sentry for recent error trends from Linear (project tracker)
Amplitude (feature usage)
output
Agent-ready output
The worklist for the incident review: Analyze PR diff size and test coverage from GitHub, check Sentry for recent error trends, assess user impact via Amplitude, post deploy risk score to Slack, riskiest items surfaced and owned.
The Context Store
To analyze PR diff size, the agent reads one joined view. Not 5 raw APIs.
Airbyte folds Amplitude + GitHub + Linear and 2 more into the Context Store: GitHub (PRs, CI), Sentry (error baselines), Amplitude (feature usage), Slack (deploy channel), Linear (approvals) land in one schema, joined on a shared incident key, so deploy risk assessment never touches a raw Amplitude endpoint.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
SHARED KEY5 SOURCESONE VIEWLIVE READS
The Prompt
Copy. Paste.
a Deploy Risk Assessment Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Help me turn Amplitude, GitHub, and Linear into a single incident review I can act on.
SETUP
Use the Airbyte MCP layer. 5+ connected sources behind one natural-language surface.
WORKFLOW
check connectors, connect Amplitude, GitHub, and Linear, query GitHub (PRs, CI), Sentry (error baselines), Amplitude (feature usage), Slack (deploy channel), Linear (approvals), reconcile per incident, summarize. Missing tools tell you how to link them. A one-time browser auth.
TASK
Analyze PR diff size and test coverage from GitHub, check Sentry for recent error trends, assess user impact via Amplitude, post deploy risk score to Slack. Return one worklist ranked by urgency, top risks called out, a next step on each.The Outcome
Analyze PR diff size on demand: 2 hours of effort, ~60 seconds of agent.
10x
Faster
~10x. Deploy risk assessment drops from a 2-hour chore to one query.
90%
Cheaper to run
~90% cheaper: zero new infra and no seats added to analyze PR diff size.
3 -> 1
Tools, one query
3 tabs into 1: Amplitude, GitHub, and Linear collapse to one view to analyze PR diff size.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Ranked, not dumped
Every incident scored 1-10, so deploy risk assessment surfaces what needs you first instead of an alphabetized list.
02 · Signal
Mismatch alerts
When GitHub and Amplitude disagree on analyze PR diff size, the gap is flagged. Not averaged into a guess.
03 · Context
The why, attached
The incident review shows the supporting GitHub (PRs, CI) inline, sourced from GitHub and Linear, no digging required.
04 · Action
Next action per item
For each incident, deploy risk assessment names the next step. What to change and who owns it. Not just a number.
05 · Brief
Worklist-ready
The worklist arrives meeting-ready: GitHub (PRs, CI) first, sources attached, Amplitude, GitHub, and Linear reconciled.
Other engineering agents on the same connectors
view All use casesLaunch Documentation Generator
Your incident review is only as fresh as the slowest tab. Release documentation is tedious because it requires correlating code changes to product impact; which commits relate to which features? What tickets were resolved? Manual processes miss items and introduce inconsistencies. Yet the inputs sit split across Jira / Notion / GitHub.
Technical SEO Monitoring Agent
Your incident review is only as fresh as the slowest tab. A bad deploy can deindex thousands of pages. Yet the inputs sit split across Jira, Google Search Console, and GitHub.
Searchable Database Creation
Right now the incident review means stitching HubSpot + Salesforce by hand. Making data searchable enables self-service, so the work lands late and half-blind.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
Does Deploy Risk Assessment replace Amplitude?
No, it reads Amplitude and writes back the worklist. Your record systems stay put.
Can Deploy Risk Assessment run on a schedule?
Yes, schedule it and the worklist arrives before the incident review starts, so analyze PR diff size happens hands-free.
What if a incident shows up in two of Amplitude, GitHub, and Linear?
The shared key de-dupes it. Deploy risk assessment keeps one incident with GitHub (PRs, CI) merged across sources.
How do I build a deploy risk assessment agent with Amplitude, GitHub, and Linear?
Link Amplitude, GitHub, and Linear in the Airbyte Agent MCP, paste the prompt above, and deploy risk assessment reads all 5 sources at once to analyze PR diff size.
Your engineering data already lives in Amplitude + GitHub + Linear. Let deploy risk assessment use it.
Wire Amplitude, GitHub, and Linear and 50+ sources into Airbyte's MCP and build deploy risk assessment on data you already own.
