GitHub only knows its half.
GitHub tracks github (commits, prs, reviews), but can't see tickets. So what you read there is already partial.
Aggregates an engineer's contributions across code shouldn't take a morning of tab-switching across Notion, GitHub, and Jira. Performance reviews require quantifying months of contributions across multiple systems; tedious data gathering that engineers dread.
Today they don't, so the incident review guesses.
GitHub tracks github (commits, prs, reviews), but can't see tickets. So what you read there is already partial.
Tickets lives in Jira, cut off from github (commits, prs, reviews), so engineering self-evaluation builder guesses at the link.
Documentation lands in Notion hours early. Too far from GitHub to change the incident review in time.
Under The Hood
GitHub (commits, PRs, reviews)
Jira (tickets completed)
Confluence (docs authored)
The rundown for the incident review: Aggregates an engineer's contributions across code, tickets, documentation, and reviews for performance reviews, riskiest items surfaced and owned.
The Context Store
Before the prompt runs, the Context Store has matched GitHub (commits, PRs, reviews), Jira (tickets completed), Confluence (docs authored), calendar (meetings facilitated) from Notion, GitHub, and Jira and 1 more onto one incident record. Engineering self-evaluation builder just reads it, no ID-stitching.
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.
The Prompt
Two steps. Your data, your results, under 60 seconds.
Help me turn GitHub, Jira, and Notion into a single incident review I can act on.
SETUP
The Airbyte Agent MCP exposes 4+ of your tools as one queryable layer.
WORKFLOW
connect GitHub, Jira, and Notion -> read GitHub (commits, PRs, reviews), Jira (tickets completed), Confluence (docs authored), calendar (meetings facilitated) -> merge into one incident view -> rank and explain. Each unconnected source is a one-off connect step away.
TASK
Aggregates an engineer's contributions across code, tickets, documentation, and reviews for performance reviews. Return one rundown ranked by urgency, top risks called out, a next step on each.The Outcome
10x
~10x. Engineering self-evaluation builder drops from a 2-hour chore to one query.
90%
~90% cheaper: Engineering Self-Evaluation Builder reuses the 4 connectors you already pay for.
3 -> 1
3 sources, 1 prompt: GitHub, Jira, and Notion reconciled before engineering self-evaluation builder runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Engineering Self-Evaluation Builder ranks each incident by risk, not by name. The top of the list is where to start.
02 · Signal
Any conflict between your engineering stack and Jira on GitHub (commits, PRs, reviews) is raised for review rather than silently smoothed over.
03 · Context
Tickets from Jira and Notion sits beside each item, letting you aggregates an engineer's contributions across code without switching tabs.
04 · Action
Engineering Self-Evaluation Builder closes each incident with a recommendation. The owner and the move. Ready to run.
05 · Brief
The rundown arrives meeting-ready: GitHub (commits, PRs, reviews) first, sources attached, GitHub, Jira, and Notion reconciled.
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.
The data for your incident review already exists in Jira / Intercom / GitHub. The problem is no one view joins it. Bug reports in support take days to reach engineering.
Engineering teams run incident reviews on stale, scattered data: Jira / Intercom / GitHub each hold a piece, none hold the whole. New engineers waste 2-3 weeks rambling through disconnected docs.
Didn't find your answer? Please don't hesitate to reach out.
What if a incident shows up in two of GitHub, Jira, and Notion?
Can I tweak what Engineering Self-Evaluation Builder returns?
Is GitHub (commits, PRs, reviews) stored anywhere by Engineering Self-Evaluation Builder?
What does Engineering Self-Evaluation Builder cost to run?
Wire GitHub, Jira, and Notion and 49+ sources into the Airbyte Agent MCP and build engineering self-evaluation builder on data you already own.