Vibe coding is hot. You use AI to generate code for you and produce an app of your desire. The devil is in the details, i.e., AI coding styles. It's an AI Insider scoop.
Make sure to know what kind of AI coding style or personality is going to be generating code for you.In today’s column, I continue my ongoing series about vibe coding and examine the vital role of knowing what’s under the hood when it comes to the type of AI coding personality that your generative AI or LLM employs.
If you aren’t aware of this hidden aspect of the AI coding style at play, you are going to be quite frustrated and likely hindered in successfully making use of vibe coding.This analysis of AI breakthroughs is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities : “The code generation capabilities of large language models are fundamental to their growing application in software development.” “To effectively leverage AI in coding, developers need to be prepared to recognize and compensate for the weaknesses in the models.” “Our analysis covers two classes of models: five leading ‘nonreasoning’ LLMs and one new ‘reasoning’ model, GPT-5. “ “To create a direct, apples-to-apples comparison, we evaluated GPT-5 in its minimal reasoning mode, which is analogous to the nonreasoning approach of its peers.” “On the one hand, they share a powerful set of strengths, from generating syntactically correct code to solving complex algorithmic problems, which makes their emergence so compelling. On the other hand, they are all built with the same blind spots: a consistent inability to write secure code, a struggle with engineering discipline, and an inherent bias towards generating technical debt.” As noted above, an important qualm right now about generic LLMs generating code is that they often produce code that is fragile, subject to cybersecurity intrusions, and are generally not up to snuff in comparison to what a truly professional human software developer would presumably produce. Meanwhile, regrettably, casual vibe coders that are blissfully using AI-generated code do not particularly realize that the apps and programs they are formulating might contain ticking timebombs associated with bugs, errors, and easily hackable liabilities and exposures.If you collected together a handful of human software developers, the odds are that you could inspect their code and group them into various kinds of overarching coding styles or personalities. Doing so would give you a leg up on knowing which ones will write code for you in a particular manner. The cited study opted to do the same with the set of LLMs that they selected to examine, and came up with these expressed coding personalities and styles for each of the AIs at hand:If you are making use of those LLMs, make sure to consider whether the coding style will produce code that will be satisfactory for whatever app or program you are seeking to generate.Any exploration of generative AI models that generate code is subject to the rapid pace of changes in the LLMs that are producing the code. For example, if an AI maker decides to go behind the scenes and tweak how their AI is generating code, any prior assumptions might no longer hold. The same goes for when a new version of the AI comes out. The prior version might not be an indicator, per se, of what the new one will do. The new version could generate code in an entirely different way. Another factor is whether an LLM has been customized or tailored to specifically be able to produce code. In essence, you can use generic generative AI to generate code, which is probably the easiest way to proceed, or you can make use of an LLM that has been shaped purposely to do code generation. In theory, the customized ones will hopefully do better at generating code since that’s what they were devised or shaped to do .The AI makers realize that people want to use AI to generate code. Until now, most of the generic LLMs did so on a sideshow basis. It wasn’t something that the AI makers paid much attention to. The realization that users will be attracted to use AI that can generate rigorous code has turned on the money spigots toward honing those capabilities. Presumably, sooner rather than later, the code generated will automatically encompass solid error checking, prevent bugs from being included, and perform closer to that of a professional software developer. We aren’t there yet. A pot of gold sits at the end of that rainbow, and so the AI makers are fervently pushing in that direction.Finally, one trick that you can keep up your sleeve and consider using when appropriate is to tell the AI what kind of code you want to have generated. The gist is this. If you merely blandly tell the AI in a prompt that you want it to generate code to produce a payroll program or a dating app, the AI will indubitably use whatever default mode of code generation that it has been shaped with.In your prompt, make sure to overtly tell the AI what kind of code you want to have generated. The more specific you are, the greater the chances that the code will not have ready-made gotchas and guffaws. I should warn you that this is not a silver bullet. Even if you tell the AI to generate code in sensible and directed ways, that doesn’t ensure that the AI will do as it is told. But it can be a notable booster. In an upcoming posting, I’ll be sharing ways to prompt AI toward suitably generating code. Be on the lookout for that posting.Beethoven famously said this: “Music can change the world.” I’ll riff on that inspirational quote and say that AI can change the world, including and especially AI that generates code. A huge shake-up is heading our way, and the world will never be the same again.
Generative AI Large Language Model LLM Coding Programming Software Engineer Developer Bui Code Coding Style Personality Debugging Errors Bugs Gotchas Openai Chatgpt GPT-5 GPT-4O Anthropic Claude Google Gemini Meta Llama Xai Grok Vibe Coding
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Last Chance Tuesday: See Comet At Its Best For 1,150 Years With MeteorsComet Lemmon is now visible with comet SWAN after sunset while also remaining visible before dawn for Northern Hemisphere skywatchers.
Read more »
5 Best Prime Video Movies to Watch in October 2025, Ranked by Rotten Tomatoes Rating'Argo' is just one of the Oscar-winners among the best Prime Video movies that you can watch in October, as ranked by Rotten Tomatoes
Read more »
7 Best New Items From Target’s LEGO Christmas LineBest Life is your one-stop destination for timely and research-backed lifestyle & wellness news and advice so you can live your best and healthiest life.
Read more »
10 best Cleveland restaurants for seafood: Keep voting for the Best (poll)There are currently 10 restaurants in the running for the Best seafood in Cleveland. Voting continues as we search for the very best place to get seafood in Northeast Ohio. Keep voting for your favorite.
Read more »
Inventor of Vibe Coding Admits He Hand-Coded His New ProjectI've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing.
Read more »
OpenAI Announces Browser-Based AI Agent for “Vibe Lifing”I've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing.
Read more »