Automatically fix code style issues in every pull request

When a pull request opens, AI reviews the code style, fixes issues, and submits the corrections for review.

How the work actually flows

A straight line. Runs once per each changed file.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig>"pull request is opened"]:::trig s0[["pull each changed file"]]:::mi s1["AI reviews style issues"]:::task s2["generate corrected files"]:::task s3["open new pull request"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"pull request with style fixes"/]:::out pay{{"reviews focus on real bugs"}}:::pay s3 --> out 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 stepRuns once per itemResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsDocument Processing & OCRAPI & Webhook Integration
Connects
GitHubGoogle Gemini

The problem it solves

Your developers spend time on code review pointing out spacing, naming, and formatting issues instead of real bugs. Back-and-forth comments about style slow down every pull request. Keeping code consistent across a growing team is hard to enforce by hand.

Who it fits

Software teams and engineering managers who want consistent code style without manual review.

How it works

  1. Starts when a new pull request is opened on GitHub
  2. The system pulls in every changed file
  3. AI reviews the code and identifies style and formatting issues
  4. It generates the corrected version of each file
  5. A new pull request with the fixes is opened for the team to review and merge
What you get

Pull requests that read the same way everywhere

Your codebase stays consistently styled, with a corrected pull request ready whenever your team wants to merge it.

What you get

A ready-to-merge pull request with code style issues already fixed.

What you need

A GitHub account with repository access and a Google AI (Gemini) API key.

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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