Get AI-assisted first-pass reviews on every GitLab merge request

Three AI reviewers scan each code change for bugs, security risks, and maintainability issues before a human looks at it.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues; runs once per each changed file.

Pattern: Parallel Split (2) · Synchronisation (3) · Multiple Instances without Synchronization (12)

flowchart TD trig>"developer posts trigger comment"]:::trig s0[["pull merge request code changes"]]:::mi s1["filter and rank findings"]:::task s2["post inline review comments"]:::task s3["post completion summary"]:::task trig --> s0 s1 --> s2 s2 --> s3 gx{"+ which review dimension to check"}:::gate s0 --> gx p00["scan for bugs"]:::task gx -->|"bug detection"| p00 p10["scan for security risks"]:::task gx -->|"security review"| p10 p20["scan for maintainability issues"]:::task gx -->|"maintainability review"| p20 jn{"+ combine reviewer findings"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"inline review comments and summary"/]:::out pay{{"faster consistent first pass review"}}:::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 itemEvery pathWaits for allResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAPI & Webhook IntegrationDevOps & IT Operations
Connects
GitLabAzure OpenAI

The problem it solves

Your engineers spend valuable time on first-pass code review instead of building, and small bugs or security issues still slip through when reviewers are rushed. Waiting for a free reviewer also slows down every merge.

Who it fits

An engineering team using GitLab that wants faster, more consistent first-pass code reviews.

How it works

  1. A developer posts a trigger comment on a GitLab merge request to start the review.
  2. The system pulls the code changes and reviews each file separately.
  3. Three AI reviewers check the code in parallel for bugs, security risks, and maintainability issues.
  4. A verification step removes weak or duplicate findings and ranks the rest by confidence.
  5. The team receives inline comments on the merge request, plus a summary noting the review is complete.
What you get

Code issues flagged before a human reviewer looks

You get three AI reviewers scanning every merge request for bugs and security risks, with findings summarized for your team to check.

What you get

Inline review comments on the merge request, flagging likely bugs, security risks, and maintainability concerns.

What you need

A GitLab account with API access and one or more AI model subscriptions, such as Azure OpenAI.

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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