Use Cases โ†’ Tech Debt & AI
#3 Technical Debt & AI Code

The "House of Cards" Fear
"I'm Terrified This AI Code Will Collapse in 6 Months"

Your team is shipping fast with Cursor. The repo looks like spaghetti. ProdMoh forces architectural standards before code is generated โ€” so you ship fast AND keep the repo clean enough to sell the company.

The Fear You Don't Talk About

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What you're thinking after reviewing a PR:

"The team is moving fast with Cursor, which is great. But honestly? I looked at the repo yesterday and it looks like a hack job. It's spaghetti. If we have to refactor this later, we are dead. We are borrowing time."

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During due diligence:

"They're going to look at our codebase. What if they see the 47 console.log statements? The hardcoded API keys? The zero error handling? We'll never close this deal."

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After watching the team use AI:

"Copilot writes code in 30 seconds. But that code has no logging, no error handling, no validation. It's demo code shipped to production."

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When production breaks at 3am:

"There's no logging. I can't trace anything. Who wrote this? Oh, the AI did. And nobody reviewed it because 'it works.'"

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Planning the next quarter:

"We need to add 3 features. But first we need 2 sprints just to 'clean up' the code so we can actually build on it. That's a month of runway. Gone."

The AI Code Problem

What Cursor/Copilot generates by default vs. what you need

โŒ Default AI Output
// "Working" code from Copilot
async function createUser(data) {
  const user = await db.users.create(data);
  console.log("user created");
  return user;
}

What's wrong:

  • โœ— No input validation
  • โœ— No error handling
  • โœ— console.log in production
  • โœ— No logging/tracing
  • โœ— No security checks
โœ“ ProdMoh-Guided Output
// Production-ready from ProdMoh prompt
async function createUser(data) {
  const validated = validateUserInput(data);
  try {
    const user = await db.users.create(validated);
    logger.info('User created', { userId: user.id });
    return { success: true, user };
  } catch (error) {
    logger.error('User creation failed', { error });
    throw new AppError('CREATE_FAILED');
  }
}

What's included:

  • โœ“ Input validation
  • โœ“ Try/catch error handling
  • โœ“ Structured logging
  • โœ“ Consistent error types
  • โœ“ Debuggable in production

Stop "Prototype Coding" in Production

Speed is free. Maintenance is expensive. ProdMoh forces your team โ€” and their AI agents โ€” to follow architectural standards before the code is generated.

1

Define Standards Once

Set your architectural patterns, logging standards, and security requirements in your PRD/TDD.

2

Generate Enforcing Prompts

ProdMoh bakes your standards into every AI code prompt. Cursor follows YOUR rules.

3

Ship Clean Code Fast

Every engineer, every AI tool, same quality. Repo stays clean.

What ProdMoh Enforces

Production-Grade Standards in Every Line

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Security Guardrails

Input validation, sanitization

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Structured Logging

No more console.log

โš ๏ธ

Error Handling

Consistent error types

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Architecture Patterns

Your patterns, enforced

The Real Cost of Tech Debt

What "we'll fix it later" actually costs

23%

of dev time

spent on tech debt maintenance

$85B

per year globally

lost to tech debt (Stripe study)

10x

more expensive

to fix later vs. do right first

The choice: Spend 5 minutes on a good prompt now, or 5 days refactoring later. ProdMoh makes the right choice automatic.

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Ship Fast. Stay Acquirable.

Every acquirer does due diligence on your codebase. A clean repo is part of your valuation. ProdMoh helps you move fast while keeping the code clean enough to sell the company one day.

โœ“ Clean architecture โœ“ Consistent patterns โœ“ Documented decisions โœ“ Audit-ready code

Stop Borrowing Time

Ship fast with AI. But ship code you can build on tomorrow.

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