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If you go back 18 months, AI in software was primarily about features like text recognition, sentiment analysis, chatbots, and automation built into products. Since then, the conversation has changed. Today, AI not only impacts how software functions, but also how software is built. Is it the same generative model that creates hyper-realistic images? They are now helping generate code. How good your code is depends on how you use it (but more on that later).
So what will next year actually look like?
In 2025, AI-generated software will cross the line from “unworkable” to “workable.” We expect things to normalize quite a bit this year. AI-assisted development will simply become the standard way to build software.
While there is debate about whether large-scale language models (LLM – think ChatGPT) are approaching their technical limits, largely determined by cost, energy usage, and hardware demands, the reality is that they don’t need to be dramatically improved to be transformative.
Efficiency gains, such as smaller models running on local devices, are already reducing barriers. Even if the financial bubble around AI bursts, the underlying technology will remain.
How will Buzz leverage AI in 2026?
At Buzz, we found that AI code can be very beautiful when used with careful guidance and a strict set of standards. Rather than “vibe coding” (improvising prompts and hoping for the best), we apply the same rigor to AI that we do to human developers.
First, establish a clear frame of reference. A brief introduction to coding standards, design principles, testing approaches, and guidelines for AI tools. We show you how it works and expect you to follow those conventions.
Second, we do not rely on a single all-purpose AI. We build “AI teams” and assign specific tasks to different agents, ensuring each agent has a well-defined focus. This reduces drift and maintains output reliability.
Finally, everything is tested and verified. Sometimes it’s done automatically, sometimes manually, but always against known expectations. By implementing this structure, AI can move from idea to working prototype faster than ever before, often faster than creating traditional visual mockups. These prototypes are shared with the client early on and can be refined over time. As a result, prototypes evolve into final live system functionality, reducing cost and risk.
In addition to development, AI can also help create documentation, pull request instructions, and user manuals. We are a team of the same size, doing the same skilled work at the same (or better) quality level, faster and more effectively.
AI software development in business
While not every company needs to adopt AI, it is important that all companies are prepared as they will increasingly be affected by it. It is essential to establish clear guidelines, expectations and quality checks so that staff are clear on how to use it effectively.
Our advice? If you’re considering AI for software development or technology integration, treat it like you would a new employee or a contractor. Establish your expectations and decide what results you want and how you will measure them. Know what you want to invest in. Every time you get a new version and review it (which can be multiple times an hour with AI), you have a framework to validate against expectations, keep the good ones, and fix the bad ones.
Finally, what are the challenges?
Despite all the positives, there are still challenges ahead. The biggest challenge is pacing. AI is evolving so rapidly that companies that lag behind may be unable to keep up.
Environmental impact is also a major concern. AI data centers are resource-intensive, so it’s important to weigh the long-term value of AI against the environmental costs when using them (this is where usage guidelines can be very helpful!).
Industries that were once thought to be protected from the effects of mechanization are being affected by AI, and there are understandable concerns about employment. The best response is adaptation, not avoidance. By learning how to work with AI, you can keep your skills relevant and perhaps even regain your work-life balance.
So, is it worth it? You’re in the driver’s seat, so the decision is yours to make. The great thing is that in 2026, AI will make those decisions faster and easier than ever before.
buzzinteractive.co.jp
