Automatically review and label GitHub pull requests with AI

AI reviews every new pull request, labels it by size and type, and sends a summary straight to Slack.

How the work actually flows

It branches. Every path runs.

Pattern: Parallel Split (2)

flowchart TD trig>"new pull request opened"]:::trig s0["Pull diff and files"]:::svc s1["Classify size and type"]:::task s2["AI reviews code changes"]:::svc trig --> s0 s0 --> s1 s1 --> s2 gx{"+ where to send review"}:::gate s2 --> gx p00["Add labels and comment"]:::task gx -->|"GitHub"| p00 p10["Post summary to channel"]:::task gx -->|"Slack"| p10 p20["Log review record"]:::task gx -->|"Sheets"| p20 p00 --> out p10 --> out p20 --> out out[/"labeled AI-reviewed pull request"/]:::out pay{{"faster triage without manual review"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceEvery pathResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook IntegrationDevOps & IT Operations
Connects
GitHubOpenAISlackGoogle Sheets

The problem it solves

Every pull request needs a first pass before it's worth a human reviewer's time, but your team either skips this step or burns hours doing it manually. Small fixes get stuck in the same queue as major changes, and nobody finds out until someone digs through the diff.

Who it fits

Software team leads and DevOps engineers managing a steady flow of pull requests.

How it works

  1. A new or updated pull request on GitHub starts the review
  2. The system pulls the file changes and code diff
  3. It sorts the change by size and category automatically
  4. OpenAI reads the diff and writes a quality summary with strengths and concerns
  5. The team gets labels and a comment on GitHub plus a summary in Slack, and the review is logged to Google Sheets
What you get

Pull requests sorted before you open them

Every new pull request gets reviewed, labeled by size and type, and summarized in Slack so your team knows what matters first.

What you get

A labeled, AI-reviewed pull request with a written comment, a Slack notification, and a logged record of the review.

What you need

GitHub, Slack, an OpenAI API key, and a Google Sheets account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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