All is over. Programming is done as a profession. Just sign up for $ 20-month AI vibe coding service and allow AI to do all the work. Correct?
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Despite the fact that tech companies like Microsoft are showing doors to coders by thousands of people, AI cannot and will not be the only manufacturer of the code. In fact, there are many programming functions for which AI is not favorable.
In this article, I am spotting nine programming tasks where you should not use AI. Stay up to the end, because I show the reason for the 10th bonus why you should not always use AI for programming. To not mention that this can happen.
1. Complex system and high-level design
Here is the matter. The generative AI system is essentially super-smart auto-full. They can suggest syntax, they can code, and they can act as if they understand the concepts. But all this is based on a ton of possible algorithms and information scrap from the web. Relevant intelligence is not a strength. Just try to talk to an AI for a while, and you will see them losing the thread.
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If you need to produce something that requires adequate understanding of how the system interacts, then you experience decision making about business, what works for your unique needs, and consider how it fits with your goals and obstacles, do not rent AI.
2. Own codbase and migration
Large language models are trained on public repository and (shader) stack overflow. Yes, some of the most amazing codebase are in public repository, but they are not Yours Code. You and your team know your code. All can do AI, it is based on your code based on things that are all known about it.
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More than the possibility, if you give an AI your ownership code and asks it to do big things, you will embed many lines of appreciated codes that will simply not work. I think using AI to write small snippets of the code that I have to see otherwise from public sources can save a huge amount of time. But don’t add your unique value to a brain Mimograph machine,
3. Innovative new stuff
If you want to create an algorithm that has not been done before – perhaps to give your outfit a big competitive advantage – rent a computer scientist. Do not try to get AI to become an innovator. The AIS boilerplate can perform miracles with innovative looking, but if you need real outs of box thinking, do not use a glorious box with the brain.
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This applies not only to functional coding, but also to design. To be fair, AIS may design something amazing. But if you are creating a new game, you may want to do most of the creative design yourself and then use AI to increase busy work.
Surely, many of us go through the things of life of life that we heard from other people or from some unique podcaster. But there are real humans who are really creative. This creativity can be a strategic benefit. While AI can volume, it cannot actually make an intellectual leap on unwanted paths.
4. Important Safety Programming and Auditing
It’s not like that Fox Guard The Hen HouseFundamentally, we do not really know what AIS will do or when they go to the crooks. Although it makes sense to use AI to scan for malicious activity, the code generated by AIS is still very incredible.
CSET (The Center for Security and Emerging Technology) at the University of Georgetown Published a study Last year’s end based on formal testing. They found that about half of the codes manufactured by AIS are snipped “bugs that are often impressive and can potentially cause malicious exploitation.”
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It tracks with my own test. I regularly test AIS for coding effectiveness, and even like last month, only five of the 14 top LLMS passed all my basic tests.
Seriously, people. Let’s help you. But do not rely on an AI with anything really important. If you are looking at the cryptographic routine, managing authentication, patching zero, daytime flaws, or similar coding tasks, let a real human work.
5. Legal or regulatory compliance requires
There are laws – many of them – especially in Health Services and Finance Arenas. I am not a lawyer, so I can’t tell you what they are especially. But if you are in an industry ruled by regulation or prevalent with litigation, you probably know.
A case can also be made that you cannot ensure that cloud-based LLMs will be safe. Sure, a seller may say that your data is not used for training, but is it? If you are subject to hipaa or dod safety approval requirements, you may not be allowed to share your code with a chat chatbot.
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Do you really want to bet on your business on the code written by Bender from Futurma? Yes, it is possible that you have a human double of code check. But we are humans decadent and remember things.
Think about human nature. If you feel that your opponent will come on you for a human error, then you are probably right. But if you were very lazy to write your own code and it is known to hail AIS, Ooh – is a field day with your future of your competition.
6. Domain-specific trade logic
You know how this happens when you bring a new fare in the company and what you do, it takes some time to get a handle on how you do it? Or worse, when you merge two companies and each employees of each have difficulty in reducing the culture and business practices of another?
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Yes. AI is a recipe for failure to ask AI to write a code about its unique business operations. Keep in mind that AIS is trained on a lot of public knowledge. Let’s define for a minute. Public knowledge is any knowledge that the public can probably know. AIS was trained on all the goods that they could hop from the Internet or without permission.
But AIS is not trained on your internal business knowledge, business secrets, practices, folklore, long -working work, more than more. Use AI what it is good, but do not try to convince it to do something that does not know how to do. AIS are so people that they will try to do it – and perhaps you will never tell you that what you have just deployed is garbage.
7. Low-level system work and performance adaptation
Although it is possible for AI to identify the areas of the code that can use adaptation, there are limitations. The AIS is not trained on very good details of microoricteical obstacles, nor is they experienced by cohabiting a scoa out of every line of the code.
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Embedded system programming, kernel development, and performance-mating C and C ++ adaptation are present in the minds of some expert coders. Also, keep in mind that AIS confirms. So what they can do can improve performance can be hidden well hidden chakra drains that they simply will not accept.
If you need a fine craftsman, then you will need a good craft – in this case, a very experienced coder.
8. Learning practice and educational assignments
If you use AI, are you cheating? Yes. No, depends. Yes, because you can violate academic standards and can make yourself out of learning with important hands that make knowledge a stick. No, because AI has proved to be an excellent growth for help, especially when TAS is not available. And maybe, because it is still a fairly unknown area.
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Harvard takes a middle ground with his amazing CS50 Intro to Computer Science CourseIt provides CS50 duck (it is a long story), an AI specially trained on its course material with system instructions that students are provided. So AI is to help the legitimate students answer questions, but do not do their work for them.
If you are a student or teacher, AI is a boon. But be careful. Do not cheat, and do not use it for shortcut work you should actually do to teach. But consider how it can help in increasing your studies or help you maintain students’ demands.
9. Cooperation and people goods
I have found that if I treat AI Chatbot as if it was another human cooder at the other end of a dull conversation, then I can get a lot from that level of “cooperation”. A lot, but not everything.
Both humans and AIS can be stubborn, stubborn, stubborn and disappointing during a long, unproductive interaction. Humans can usually get out of it and at least can be persuaded to be helpful in professional settings. But once you reach the extent of AI’s session capacity or knowledge, it just becomes a waste of time.
The best human cooperation is magical. When there is a fire in a team – working together, throwing ideas from each other, solving problems, and sharing workload – amazing things.
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AI companies claim that agents work forces can copy this coordination, but all cylinders firing on all cylinders do nothing to work with other people in the firing team. Not only for productivity (which you get), but also for the quality of life, long -term effectiveness, and, yes, also for fun.
Do not misunderstand me. Some of my best friends are robots. But some of my other best friends are people with whom I have long, deep and relationships. In addition, I have never met an AI, which can make the mosaa of Mr. Amontis or the apple pie of aunt Paula.
Bonus: Do not use AI for anything you want to do yourself
Nothing you use AI for yourself undeniably. If you write a code that you release as an open source, it may not be that much problem. But if you write the proprietary code that you want to do yourself, you do not want to use AI.
We asked some lawyers that this generative is in the morning of AI, and the overall consensus is that copyright depends on manufacture with human hands. If you want to ensure that you never air in court in an attempt to protect your own code, do not write it with AI. For more backgrounds, here I have a series published on code and copyright:
How are you? Have you found too much inclination on AI to write a code to yourself? Where do you draw the line between convenience and caution? Is there any programming work where you have found AI really useful or dangerously misleading? Have you ever written to an AI and wonder whether it saves you time or spends you more? Let us know in the comments below.
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