GitHub only knows its half.
GitHub tracks code repositories (github, gitlab), but can't see identify issues. So what you read there is already partial.
Your hiring decision is only as fresh as the slowest tab. Manual PR review bottlenecks development. Yet the inputs sit split across GitHub / GitLab.
Today they don't, so the hiring decision guesses.
GitHub tracks code repositories (github, gitlab), but can't see identify issues. So what you read there is already partial.
To review code you'd merge identify issues with code repositories (github, gitlab) by hand, every single time.
Suggest improvements surfaces in GitLab ahead of time, but that tab is closed during github pr review.
Under The Hood
Code Repositories (GitHub, GitLab)
CI/CD
One brief: Review code, identify issues, suggest improvements, check standards, track metrics. Ranked by priority, top risks flagged, a next step on each.
The Context Store
Before the prompt runs, the Context Store has matched code Repositories (GitHub, GitLab), CI/CD, Code Analysis Tools, Communication Tools from GitHub / GitLab onto one role record. Github pr review 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.
I want to review code by combining GitHub and GitLab data, then report back.
SETUP
Use the Agent MCP. 2+ connected sources behind one natural-language surface.
WORKFLOW
link GitHub and GitLab, query code Repositories (GitHub, GitLab), CI/CD, Code Analysis Tools, Communication Tools, fold it onto the role, then rank. If a connector is missing, follow the prompt. A one-time browser auth.
TASK
Review code, identify issues, suggest improvements, check standards, track metrics. Deliver a brief I can paste into the hiring decision. Ranked, sourced, one action per item.The Outcome
10x
~10x. Github pr review drops from a 2-hour chore to one query.
90%
~90% cheaper: zero new infra and no seats added to review code.
2 -> 1
2 sources, 1 prompt: GitHub and GitLab reconciled before github pr review runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
A 1-10 score on each role means the urgent code Repositories (GitHub, GitLab) rises to the top of github pr review on its own.
02 · Signal
When GitLab and GitHub disagree on review code, the gap is flagged. Not averaged into a guess.
03 · Context
Identify issues from GitLab sits beside each item, letting you review code without switching tabs.
04 · Action
GitHub PR Review closes each role with a recommendation. What to change and who owns it. Ready to run.
05 · Brief
Hand the brief straight to the hiring decision. Every figure traces back to GitHub and GitLab.
The data for your hiring decision already exists in Ashby / Greenhouse. The problem is no one view joins it. Offer timelines depend on check completion.
People ops teams run hiring decisions on stale, scattered data: Greenhouse / Ashby each hold a piece, none hold the whole. Organizational changes happen frequently.
The data for your hiring decision already exists in Harvest. The problem is no one view joins it. HR teams manage 50+ employee data points across systems.
Didn't find your answer? Please don't hesitate to reach out.
What does GitHub PR Review cost to run?
Does GitHub PR Review replace GitHub?
How do I trust the hiring decision?
How fresh is the role data GitHub PR Review uses?
Wire GitHub and GitLab and 47+ sources into the Agent MCP and build github pr review on data you already own.