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Pascual Vila

Full-Stack Software and AI Engineer

Full-Stack Software and AI Engineer with 6 years of experience building enterprise-grade web applications across React, Angular, Node.js, and Python. Recently completed a Master's in AI Development specializing in LLMs, RAG, and AI agent architectures, and currently builds enterprise systems that integrate AI and Digital Twins to optimize industrial and logistics processes.

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Common Pitfalls & Errors

The Error //

Generating service-layer code without stating the actual domain-specific business rule it needs to enforce

// Vague: the model has no way to know YOUR specific business rule
"Generate cancelOrder()"

// Explicit: states the actual rule to enforce
"Generate cancelOrder() — only allowed if status is pending or processing"

The Solution //

Generic validation logic (is this a valid email format?) is well-represented in training data and generally reliable, but a domain-specific business rule (which order statuses allow cancellation) is entirely specific to your application and won't be correctly inferred without being explicitly stated in the prompt.

The Error //

Generating a service method with multiple related database writes but no transaction wrapping them together

// Wrong: unprotected, inconsistent state possible on partial failure
await orderRepo.save(data);
await inventoryRepo.decrement(data.items);

// Correct: both succeed or both roll back together
await db.transaction(async (tx) => {
  await orderRepo.save(data, tx);
  await inventoryRepo.decrement(data.items, tx);
});

The Solution //

If related writes (like creating an order and decrementing inventory) aren't wrapped in a single transaction, a failure partway through can leave the database in an inconsistent state — inventory decremented without a corresponding order actually existing, for example.