Use AI as a peer programmer
You should always treat AI as a peer programmer and your (junior) coding assistant. You should always review code the AI generates for you, run tests, and perform audits to validate correctness, conformance to guidelines and standards, performance and scalability bottlenecks, and security vulnerabilities. Based on the outcome of the audit, you should refactor your AI-generated code accordingly. And, repeat this cycle iteratively — audit followed by refactoring (if required) — until you are satisfied with the code.
Favor quality over speed
Your application source code should be performant, scalable, secure, extendable, and easy to comprehend and maintain. One of the biggest challenges of using AI-generated code is ensuring it meets requirements and conforms to the guidelines and standards of your organization without compromising on performance, scalability, and security.
AI can generate code for you quite quickly, but the onus is on you to understand how the code works, investigate it for any flaws, test it thoroughly, and change it if and when it is needed. You must be sure to understand the code in its entirety. Unless you comprehend the code, you will never be able to improve or extend it when you need to.
