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Use case · Software Agencies

Every client project, reviewed to the same standard.

Agencies run many codebases with rotating developers and clients who expect senior-level quality. Mesrai reviews every pull request on every project, with rules tailored to each client's stack and requirements.

Projects
Unlimited repos
Rules
Agency + per client
Specs
Ticket or Google Doc

How software agencies use AI code review

Software development agencies use AI code review to keep quality consistent across many client projects and rotating developers. Mesrai reviews every pull request on every client repository, applies agency-wide standards plus client-specific rules, and checks the work against the client's ticket or spec — so quality doesn't depend on which developer or reviewer is assigned.

I.

Why quality varies across client projects

  • 01

    Senior engineers are spread across accounts; junior developers often review each other.

  • 02

    Each client has different stacks, conventions and compliance requirements.

  • 03

    Clients judge the agency by bugs found in UAT and production, not by velocity.

  • 04

    Developers rotate between projects and lose context on each codebase.

II.

How Mesrai helps agencies

Agency-wide standards

Organization rules apply your quality bar to every client repository automatically.

Client-specific rules

Repository rules capture each client's conventions, stack and compliance needs.

Spec checking

Business logic validation compares pull requests with the client's Jira or Linear ticket — or a spec in Google Docs — before work reaches UAT.

Context for rotating developers

Memories hold project knowledge, so a developer new to the account gets it applied in review.

III.

Real-world scenarios

2 examples

Illustrative examples of the kind of change software agencies make every week, and the review comment Mesrai would post.

Scenario 01

The spec says otherwise

A client's spec, in Google Docs, says users can edit comments only within 24 hours. The implementation allows editing forever.

MesraiBusiness logic validationMUST_FIX

Requirement 2 in the spec ('users can only edit their own comments within 24 hours') isn't implemented: the update handler checks ownership but not the comment's age.

Result: A requirement miss is fixed before UAT, instead of becoming a client-reported defect.

Scenario 02

A developer new to the account

A developer moves onto a client project mid-sprint and uses the wrong date library.

MesraiMesrai RulesSUGGESTION

This project standardises on date-fns with UTC storage (client rule 'Dates'). moment is not a dependency here and adds bundle weight — use formatInTimeZone from date-fns-tz.

Result: Project conventions travel with the codebase, not with whoever wrote them.

IV.

Set up across client accounts

Use organization rules for your agency standard, and repository rules per client.

  1. 1

    Connect each client's Git host — GitHub, GitLab, Bitbucket or Azure DevOps.

  2. 2

    Write five to ten agency-wide organization rules.

  3. 3

    Add client-specific repository rules and memories during project kickoff.

  4. 4

    Connect the client's tracker, or use a Google Docs spec, for business logic validation.

V.

Who uses it, and how

Agency CTO
Sets one quality bar that applies to every project.
Project leads
Capture each client's conventions as rules and memories.
Developers
Get senior-level feedback on every pull request, on any account.
VI.

What teams achieve

Consistent quality across client projects

Fewer defects found in UAT

Faster ramp-up when developers rotate

Work checked against the client's spec

VII.

Software Agencies — frequently asked

3 questions
  • Can we use Mesrai on client repositories hosted on different platforms?

    +

    Yes. Mesrai supports GitHub, GitLab, Bitbucket and Azure DevOps.

  • Can each client have its own rules?

    +

    Yes. Repository and folder rules override or extend your organization rules per project.

  • Can Mesrai check code against a spec in Google Docs?

    +

    Yes. With the Google Docs plugin connected, comment '@mesrai -v business-logic' with the document link, and Mesrai compares the pull request with the requirements.

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