Use Cases โ†’ AI Coding Quality
#6 For Technical Founders

Integrate AI Coding
Without Shipping Garbage

Your team wants Cursor speed. You want production quality. ProdMoh generates context-aware prompts so AI-generated code includes security, logging, and error handling โ€” on first commit.

Works with your AI tools:

โšก Cursor ๐Ÿค– Claude โœจ GitHub Copilot ๐Ÿง  ChatGPT ๐Ÿ’Ž Windsurf

The Technical Founder's Dilemma

You want AI speed. You need production quality.

๐Ÿ˜ค

What you're thinking during code review:

"My team wants to use Cursor. I want the speed too. But every time I review AI-generated code, it's missing error handling, the logging is wrong, and it doesn't match how we build things. I can't let them ship this."

๐Ÿ”

Reviewing a junior's PR:

"This looks like it was written by Copilot in 30 seconds. No validation. No try-catch. console.log everywhere. I'll spend an hour fixing this."

๐Ÿš€

Talking to your investors:

"We're 10x more productive with AI!" Meanwhile, you're secretly rewriting half of it because it's not production-ready.

๐Ÿ›

After a production incident:

"There's no logging. I can't trace what happened. 'The AI wrote it' is not an acceptable debugging strategy."

โš–๏ธ

The impossible choice:

"Do I ban Cursor and lose the speed? Or allow it and hope nothing breaks? Neither option works."

The AI Code Quality Gap

What AI generates by default vs. what you actually need

โŒ Default Cursor Output
// "It works!" โ€” Famous last words

async function processPayment(amount, userId) {
  const result = await stripe.charge(amount);
  console.log("charged", result);
  await db.update(userId, { paid: true });
  return result;
}

What happens in production:

  • โœ— Stripe fails โ†’ no error handling โ†’ user sees nothing
  • โœ— DB update fails โ†’ payment taken, order not saved
  • โœ— console.log in prod โ†’ useless for debugging
  • โœ— No input validation โ†’ crashes on bad data
โœ“ With ProdMoh Prompt
// Production-ready from first commit

async function processPayment(amount, userId) {
  validateInput({ amount, userId });
  try {
    const result = await stripe.charge(amount);
    logger.info('Payment processed', { 
      userId, amount, chargeId: result.id 
    });
    await db.update(userId, { paid: true });
    return { success: true, result };
  } catch (error) {
    logger.error('Payment failed', { userId, error });
    throw new PaymentError('CHARGE_FAILED');
  }
}

Production-ready features:

  • โœ“ Input validation before processing
  • โœ“ Try/catch with proper error handling
  • โœ“ Structured logging with context
  • โœ“ Consistent error types for frontend

How ProdMoh Fixes This

Context-aware prompts that make AI generate production code

1

Define Your Spec

Describe the feature in plain English. ProdMoh generates a PRD + Technical Design.

2

Generate Config

We create governance configs with YOUR patterns, security rules, and compliance standards.

3

Push to GitHub

One click pushes your config to any repo. Auto-syncs to .cursorrules or CLAUDE.md.

4

Team Inherits

Every developer pulls the repo, AI tools auto-detect the rules. Zero manual setup.

What ProdMoh Injects Into Every Prompt

Your Standards, Their AI, Quality Code

๐Ÿ”

Security Rules

Validation, sanitization, auth

๐Ÿ“Š

Logging Standards

Structured, contextual, useful

โš ๏ธ

Error Handling

Graceful, typed, recoverable

๐Ÿ—๏ธ

Your Patterns

Architecture, conventions, style

GitHub Integration

Push Once. Every Developer Gets It.

No more Slack messages, Notion docs, or hallway conversations about coding standards. Push to GitHub, and your entire team's AI tools automatically follow your rules.

๐Ÿ˜ฉ Without GitHub Sync
  • โœ— Email prompts to every developer
  • โœ— Hope they copy-paste it correctly
  • โœ— Version drift within days
  • โœ— New hires start from scratch
๐Ÿš€ With GitHub Push
  • โœ“ One-click push to any repository
  • โœ“ AI tools auto-detect on clone
  • โœ“ Always in sync via version control
  • โœ“ New hires inherit instantly

Auto-exports to formats your AI tools already understand:

.cursorrules .windsurfrules CLAUDE.md .moh

Cursor, Windsurf, and Claude Code all auto-detect these files at the root of your repo.

The Best of Both Worlds

AI speed + your quality standards

10x

Faster shipping

Keep the AI speed advantage

80%

Less PR feedback

Code is right on first commit

0

"console.log" in prod

Proper logging from the start

๐ŸŽฏ

For the Technical Founder Who Wants Both

You don't have to choose between AI speed and code quality. Let your team use Cursor, Claude, Copilot โ€” whatever they want. ProdMoh ensures the output matches your standards.

โœ“ AI speed preserved โœ“ Production quality enforced โœ“ GitHub sync for teams โœ“ Works with any AI tool

Stop Choosing Between Speed and Quality

Let your team use AI tools. Let ProdMoh ensure the code is production-ready.

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