GitHub
Jira
Notion

Build an Engineering PR Reviewer Agent withGitHub, Jira, and Notion

Engineering teams run incident reviews on stale, scattered data: GitHub / Jira / Notion each hold a piece, none hold the whole. Code review quality depends on context beyond the diff; what's the broader project goal? What patterns does this codebase follow? What did the related ticket specify? This means joining GitHub data with Jira data with Confluence specs, each with different API patterns and rate limits.

Try in Claude

GitHub says one thing about GitHub/GitLab PRs, Jira says another.
The incident review eats the gap.

The incident review eats the gap.

GitHubJira

GitHub only knows its half.

GitHub tracks github/gitlab prs, but can't see checks documentation alignment. So what you read there is already partial.

JiraNotion

Jira tells a different story.

What Jira knows about checks documentation alignment rarely flows back to GitHub. Two tools, one unreconciled gap.

NotionGitHub

Notion catches it quietly.

Provides contextual feedback surfaces in Notion ahead of time, but that tab is closed during engineering pr reviewer.

Under The Hood

Three sources, one query: engineering pr reviewer pulls GitHub, Jira, and Notion pre-wired. Already connected.

01

Check reviews pull requests against coding standards from GitHub (engineering stack)

GitHub/GitLab PRs

GitHub
02

Pull checks documentation alignment from Jira (project tracker)

coding standards docs

Jira
03

Query provides contextual feedback from Notion (docs hub)

technical specs

Notion
output

Agent-ready output

One rundown: Reviews pull requests against coding standards, checks documentation alignment, and provides contextual feedback. Ranked by priority, top risks flagged, a next step on each.

The Context Store

GitHub/GitLab PRs and the rest of GitHub / Jira / Notion, already one record.

Airbyte folds GitHub / Jira / Notion and 2 more into the Context Store: GitHub/GitLab PRs, coding standards docs, technical specs, related Jira tickets land in one schema, joined on a shared incident key, so engineering pr reviewer never touches a raw your engineering stack 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.

PRE-JOINED INCIDENTUNIFIED SCHEMAONE API SURFACE

The Prompt

Copy. Paste.
an Engineering PR Reviewer Agent

Two steps. Your data, your results, under 60 seconds.

01installOne-time setup. ~2 min.
Connect the Airbyte Agent MCP
02copy and run
Prompt
Help me turn GitHub, Jira, and Notion into a single incident review I can act on.

SETUP
The Airbyte Agent MCP is connected to 5+ systems; query them directly, no API code.

WORKFLOW
connect GitHub, Jira, and Notion -> read GitHub/GitLab PRs, coding standards docs, technical specs, related Jira tickets -> merge into one incident view -> rank and explain. Each unconnected source is a single OAuth click away.

TASK
Reviews pull requests against coding standards, checks documentation alignment, and provides contextual feedback, then give me a single rundown: sorted by what needs me first, each line with the why and the move.

The Outcome

Engineering PR Reviewer: 2 hours of work, one short run.

10x

Faster

10x faster. Engineering pr reviewer does in seconds what ate 2 hours of reviews pull requests against coding standards.

90%

Cheaper to run

90% off the build cost: 5 sources already licensed, nothing extra to reviews pull requests against coding standards.

3 -> 1

Tools, one query

3 sources, 1 prompt: GitHub, Jira, and Notion reconciled before engineering pr reviewer runs.

Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.

01 · Output

Priority scoring

A 1-10 score on each incident means the urgent GitHub/GitLab PRs rises to the top of engineering pr reviewer on its own.

02 · Signal

Mismatch alerts

GitHub vs Jira mismatches on reviews pull requests against coding standards get called out so you decide, not the math.

03 · Context

Context overlay

Checks documentation alignment from Jira and Notion sits beside each item, letting you reviews pull requests against coding standards without switching tabs.

04 · Action

One move per line

Every row ends in a move: engineering pr reviewer tells you the play and the person to run it.

05 · Brief

Built to reviews pull requests against coding standards

A rundown you can drop into the incident review: ranked, sourced from GitHub, Jira, and Notion, scoped to GitHub/GitLab PRs.

Common questions

Didn't find your answer? Please don't hesitate to reach out.

Contact us

How long until Engineering PR Reviewer is live?

Minutes. Each connector is a single OAuth click, then engineering pr reviewer runs on demand or on a schedule.

Which clients run engineering pr reviewer?

Claude, Cursor, and other MCP clients. Each points at the same GitHub, Jira, and Notion connectors engineering pr reviewer uses.

How fresh is the incident data Engineering PR Reviewer uses?

Live, it reads GitHub at query time, so the rundown shows GitHub/GitLab PRs as of now, not last night.

Is GitHub/GitLab PRs stored anywhere by Engineering PR Reviewer?

No, engineering pr reviewer reads GitHub/GitLab PRs, coding standards docs, technical specs, related Jira tickets live through the connectors and returns the rundown; nothing persists outside GitHub, Jira, and Notion.

GitHub / Jira / Notion are connected. Point engineering pr reviewer at them.

50+ connectors including GitHub, Jira, and Notion are ready. Give engineering pr reviewer the access to reviews pull requests against coding standards.