AI Coding Tip 024: Force a Criteria Check Before the Task Ends | HackerNoon

AI Coding Tip 024: Force a Criteria Check Before the Task Ends

By Maxi Contieri (@mcsee)

The Problem

In AI-assisted coding, we often rush to finalize solutions without verifying if they meet all requirements. This is especially risky with tools like Claude or ChatGPT, which may generate code that appears correct but fails edge cases or misses critical constraints. A common pitfall? Assuming the AI ‘knows’ your criteria unless explicitly prompted.

Why Force a Criteria Check?

Consider this scenario: You ask an AI to sort a list of objects by date. Without a criteria check, the AI might sort alphabetically by name instead. Or worse, it might ignore timezone differences in date fields. Forcing a criteria check—explicitly stating what needs to be validated—acts as a safety net. It’s not about being pedantic; it’s about preventing costly mistakes.

How to Implement This Tip

1. Define Criteria Explicitly: Before asking the AI to act, list the exact requirements. For example: ‘Sort users by last login date in UTC, excluding inactive accounts.’
2. Pause Before Finalizing: After the AI generates code, ask: ‘Does this satisfy all the criteria I listed?’ If unsure, requery with specifics.
3. Automate Checks (Optional): For repetitive tasks, write a small test suite or linter to validate outputs against your criteria.

Real-World Example

Suppose you’re building a form validation system. You ask the AI to generate validation rules. Without a criteria check, it might only check for non-empty fields. By forcing the check, you’d specify: ‘Validate email format, password length >8, and age between 13-100.’ The resulting code would be more robust.

Trade-Offs

This approach adds a step to your workflow, which could slow down initial development. However, the time saved debugging later far outweighs this cost. It’s a trade-off between speed and reliability—prioritize correctness when stakes are high.

Beyond Code: A Broader Lesson

This tip mirrors software engineering principles like TDD (Test-Driven Development). Just as you write tests before code, you define criteria before execution. The goal isn’t to slow progress but to align outcomes with intent.

When to Skip It?

Not every task needs this rigor. For trivial or well-understood problems (e.g., ‘Add a button to the UI’), skipping the check is fine. Use judgment. The key is awareness: know when a criteria check is necessary.

Final Thought

AI tools amplify our capabilities but don’t replace critical thinking. Forcing a criteria check is a low-effort habit that significantly improves code quality. It’s not a silver bullet, but it’s a reliable guardrail.

Read the full article on HackerNoon

AI Coding Tip 024 - Force a Criteria Check Before the Task Ends