The Secret to Clean Blazor Code: Let AI Enforce Your Standards for You

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How to use AI to Maintain Coding Standards

Blazor is one of the fastest-growing .NET frameworks for building rich, interactive web applications. But when multiple developers work on a Blazor project—especially with varying skill levels—maintaining consistent coding standards becomes a real challenge. Razor files balloon to thousands of lines. Component naming conventions drift. UI structure becomes inconsistent. Architecture slowly erodes.

This is where AI becomes a force multiplier.

AI doesn’t replace senior developers. Instead, it automates the repetitive checking, teaching, reviewing, and refactoring tasks that drain development teams and erode quality. With the right prompts, templates, and workflows, AI can enforce architecture rules, naming conventions, component patterns, and test quality—without forcing a single "code cop" to police everyone.

This article teaches you how to use AI to maintain coding standards in multi-developer Blazor projects using:

  • AI-powered PR reviews

  • AI-driven refactoring

  • Automated linting and rules enforcement

  • Prompt files that act as style guides

  • AI-generated scaffolding templates

  • GitHub Actions automation

By the end, you’ll have a fully repeatable workflow you can use on any Blazor project to keep quality high—even with a junior or distributed team.

The Unique Challenges of Blazor Projects

Unlike MVC or minimal APIs, Blazor applications combine:

  • UI (HTML)

  • Logic (C#)

  • Events

  • State

  • Services

  • Routing

All within a single .razor file.

This creates four major problems in multi-developer teams:

1. Component Sprawl

Developers create components inconsistently:

  • Some name them EditUser

  • Some name them UserEdit

  • Some name them UserEditor

  • Some forget namespaces entirely

Over time, finding components becomes impossible.

2. Razor Files Get Too Big

It’s common to see 4,000–6,000 line Razor files containing:

  • UI

  • Logic

  • Validation

  • Data access

  • State management

  • Business rules

These files become untestable and unmaintainable.

3. Inconsistent UI Structure

Each developer builds UI differently:

  • Different indentation

  • Different spacing

  • Different event naming

  • Different component structure

  • Different async patterns

This makes the UI feel disjointed.

4. Architecture Drift

Developers accidentally:

  • Put logic in Razor files

  • Skip service layers

  • Duplicate code

  • Bypass dependency injection

  • Add direct DB calls

AI prevents this through automated guidance.

Why AI Is Perfect for Maintaining Standards

AI is a natural fit because:

1. AI Understands Context

Unlike linters, AI understands:

  • What a component should do

  • Why logic is placed incorrectly

  • Where code belongs

  • How it should look

It can detect architectural violations, not just syntax errors.

2. AI Provides Immediate Feedback

Instead of a senior developer reviewing 40 PRs a week, AI can:

  • Highlight naming issues

  • Suggest folder changes

  • Enforce design patterns

  • Prevent architectural drift

  • Explain the reasoning

3. AI Is Always Consistent

Humans get tired. AI doesn't.

4. AI Helps Juniors Learn Faster

Every time AI reviews code, it:

  • Teaches better naming

  • Improves async usage

  • Suggests better architecture

  • Reduces dependency on senior devs

5. AI Reduces Review Fatigue

When reviewers get fatigued, standards slip.
AI eliminates this entirely.

Define Your Blazor Coding Standards (with Examples)

Below is a generic standards set that works with any UI library.

You can modify these however you like.

1. Naming Conventions

Components

  • PascalCase

  • Always end with Component
    Example:

        
UserEditComponent.razor

Event Handlers

  • Use suffix Async

private async Task SaveAsync()

Parameters

  • Start with uppercase

  • End with no suffix

[Parameter] public int UserId { get; set; }

2. Razor File Structure

A clean Razor file should follow:

  1. Page directive

  2. Using statements

  3. Markup

  4. Child components

  5. @code block

  6. Methods

  7. Injected services

AI can restructure any file to match this pattern.

3. Architecture Standards

  • No business logic in Razor files

  • Use services for all data access

  • Use vertical slice folder structure

  • Keep components small and reusable

  • Use dependency injection everywhere

AI Tools to Enforce Standards

GitHub Copilot

Add "rules" files that tell Copilot how to generate Blazor components.

Cursor IDE

Cursor checks every file against custom rules automatically.

ChatGPT

Use prompt files to enforce naming and structure.

SonarCloud

Use AI to explain and fix code smells.

AI Workflows That Maintain Standards

1. AI-Generated Component Templates

Create a standard template for:

  • Pages

  • Components

  • Services

  • Models

  • Validators

AI uses these as references.

2. AI-Assisted PR Reviews

AI checks for:

  • Inline logic in Razor

  • Inconsistent naming

  • Missing async keywords

  • Architecture drift

  • UI inconsistencies

  • Missing IDisposable logic

3. AI-Driven UI Consistency

AI checks:

  • Proper event naming

  • Proper markup structure

  • Reusable UI elements

  • Design system alignment

4. AI-Based Refactoring of Legacy Files

AI can automatically:

  • Split big Razor files

  • Move logic into services

  • Extract reusable components

  • Update method naming

  • Improve state management

How to Create a Coding Standards Prompt File

Example Structure

# Blazor Coding Standards

## Component Naming
- Use PascalCase
- Must end in "Component"
- One component per file

## Architecture
- No business logic in Razor files
- All logic goes in services

## Parameters
- PascalCase
- No abbreviations

AI tools will follow this file automatically.

Automating Standards with GitHub Actions

Example workflow:

  • Run lint on all PRs

  • Use AI to detect naming violations

  • Reject PRs that violate standards

  • Generate AI-powered suggestions

Real-World Example

A team of 5 developers adopted this model:

  • Removed 62% duplicate code

  • Reduced PR comments by 80%

  • Improved onboarding time

  • Increased throughput

AI handled all consistency checks.

Conclusion

AI gives Blazor teams a repeatable, scalable, automated way to enforce coding standards without slowing developers down.

With the right prompt files, review flows, and templates, you can maintain elite code quality even with a junior or rotating development team.

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