
How Coding Assistants Introduce Errors
How do code assistants cause problems? I’ll show you an example using a more frustrating and familiar technology, the program that helps you type when texting (auto-complete). Have you texted and found auto-complete introduced minor errors in your text? For instance, these errors may not have even been substantial, nor did they change the meaning of the sentence, but they just kept piling up. Here is an example: when texting our partner about dinner, auto-complete changed “biryani” (singular) to “biryanis” (plural). In the grand scheme of a written text conversation, this is fine. We can be sure they probably understand that dinner will be just one biryani, not multiple biryanis. You can even argue that the sentence is already wrong because the plural of biryani is just biryani, not biryanis. These types of AI Coding Assistants are known as Editors.
Other AI Coding assistants are given large data sets and asked to solve issues, such as breaking data sets into parts and generating functions. Coders can complete these solutions manually, but it takes more time. Unfortunately, errors will crop up in the solutions. When you try to go back and fix them, it becomes difficult.
The point is that coding assistants introduce errors that are difficult to discover. As you progress in your task, your errors keep piling up. You should use a Code Detector like AI Detector Pro Code so you can find and fix Coding Assistant-generated mistakes before they become numerous.
Why it Matters to identify Coding Assistant Errors Quickly

Coders work in teams under a deadline, often run by programming managers. If you refer back to our explanation on how Coding Assistants introduce errors, you can see why scanning lines and lines of code for these minor errors becomes time-consuming. In fact, professors at the Tandon School of Engineering recently published an award-winning study about the flaws in AI-generated code. In fact, those minor errors generated by coding assistants are pretty damning. Some errors generated by coding assistants included:
- Sequencing errors that could cause memory issues,
- Trying to talk to non-existent databases
- Outdated code from the 30 to 20 years ago
- Phased-out code with previously identified security issues
As the Chair and co-founder of NYU Center for Cybersecurity, Brendan Dolan-Gavitt remarked, “’If you have someone who is not security-conscious writing, this tool may reinforce that tendence and help them write code that introduces even more errors,’ says Dolan-Gavitt.” “It can have a multiplication effect.” The paper went on to win an award at the most prestigious cybersecurity convention in the world. Additionally, Dolan-Gavitt’s words echo a point we made in our previous blog: Coding Assistants ultimately reduce team accountability because programmers tend to remove blame from themselves and shift it to the Coding assistant.
AI Detector Pro Code Offers an Affordable Solution to the Downside of Coding Assistants

Do Coding assistant tools offer opportunities? Yes. We have always been proud to be an AI company that moves forward with the times rather than backward. Google is a visionary organization. Suppose Google develops 25% of its code using AI. In that case, it will offer meaningful opportunities for consultants, small businesses, and enterprise organizations, many of whom subcontract to large companies like Infosys or Capgemini.
AI Detector Pro Code’s plans are flexible and affordable. Not only do we detect in the most widely used languages, such as Java, PHP, Javascript and Python, we have affordable plans for small firms (yourself/up to 4 people), small businesses or even enterprise organizations. This allows a variety of small businesses to take advantage of AI while keeping their costs lower. As the owners of another small business with an established AI brand, we know that the first sale can be the hardest. Get there faster!