# Senior oversight of AI-written Code

Most developers now use AI to generate some of their code. Can you walk me through an
example project where AI-written code was insufficient on its own, and show me what
you had to fix before launch?

##### Post Metadata
- Posted at: 3 months ago
- Net upvotes: 7


## Comments
### Comment 1

Why to Ask:

There is nothing wrong with using AI code generators. Here at Valere, our developers use these tools 70% of the time, and our coding efficiency is up 60% as a result. In fact, AI coding tools are so capable that very few developers are writing all their own code anymore.
The problem is that low-cost developers rely entirely on these tools as a shortcut to skip the architecture you need. Without that backbone, your maintenance costs on the product they build for you will skyrocket. Not to mention, every new feature you try to add in the future becomes nearly impossible. Eventually you will be forced to rebuild it from scratch (at three to five times the cost of building it properly the first time).
Industry data shows that 61% of AI-generated code requires significant refactoring before it is ready for real users. Think of it like a rough draft email ChatGPT wrote for you. It serves as a starting point, but still needs finessing. Working code is not the same as production ready code. Therefore, a low-cost developer who vibe-codes your solution will set you up for disaster if they lack the skillset to properly customize and refactor the code. Even if the product technically runs, it is likely full of messy logic, security vulnerabilities, and structural issues that make it unreliable long term.
Instead, the agency you need to hire must have senior engineers who can tear the raw code down, spot what might fail in real-world conditions, and rewrite those lines by hand. Accenture research shows that without senior oversight, technical debt compounds at a rate of 23% per month. That is why at Valere, our veteran engineers review every line of code to catch errors and clean up the rough edges. It is a time-consuming process requiring someone with years of hands-on practice because AI cannot handle its own QA.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: President @ Valere |  Top 1% AI Enterprise on Upwork | Ex-Booz Allen | Building AI-First Organizations with Agentic AI &amp;amp; UX 🚀
- Net upvotes: 9


### Comment 2

What they say here will tell you whether they can write code like engineers or merely produce it with AI. An experienced firm will openly admit that they develop with the help of code generators. However, they will be happy to walk you through specific examples when the AI output failed. They will be able to explain specifically how they reworked the code before it got into the hands of users.
Most of all, their answer should make one thing clear. They treat AI-generated code as a starting point, not the finished product. If a vendor cannot explain something they had to rewrite or harden before launch, that is usually the tell.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: President @ Valere |  Top 1% AI Enterprise on Upwork | Ex-Booz Allen | Building AI-First Organizations with Agentic AI &amp;amp; UX 🚀
- Net upvotes: 13



## Related Product
[Valere Labs](https://www.g2.com/products/valere-labs/reviews)

## Related Category
[AI Development Services](https://www.g2.com/categories/ai-development-services)

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