
AI-Assisted Code Review Directly in the Development Studio
A practical showcase on how to leverage AI in the code review process with a bare minimum of external dependencies.
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Software development is a dynamic field in which new tools and trends are constantly emerging. However, if we want to develop high-quality software, it is not enough to simply apply these tools and trends; we must truly understand how they work and what risks they may entail.
When I started creating my first websites, I didn't have internet access at home, so I drew everything from printed magazines and explored the source codes of fanzines in the supplements of the gaming magazine Score. Thanks to this, I became familiar with HTML and CSS, which later helped me significantly not only in coding templates for new pages, but also in solving problems when something did not work as it should.
Nowadays, such knowledge is seemingly unnecessary. All you need to do is use a front-end framework and simply put the page together from what is available. But what if a problem arises? Can we identify it and solve it correctly?
Have you ever heard the phrase "640K should be enough for everyone"? In 1985, it was really necessary for every developer to know how to work with memory correctly. Nowadays, we don't have such strict limits, and memory management is somehow automatically solved by using various tools and frameworks. Or we simply buy more powerful hardware. I often shake my head when looking at the charts in the monitoring application and ask myself, "Can't it really be done better?"
How Prince of Persia Defeated Apple II's Memory Limitations
Thanks to AI, situations where we don't pay full attention to the basics are becoming more common. AI can write code much faster, and if it works, we win at first glance. But do we really know what the code does? Can we verify that it really works correctly? If we use AI to write code, we must be able to verify its results. This means we need to understand the basics. We can't just generate source code and trust that everything is fine.
We also need to take into account the fact that AI is constantly learning from new data and new source codes, which may also be largely generated by AI. If we learn something the wrong way, we will build it the wrong way. And through a chain reaction, we can reach a point where the results from AI are completely unusable.
The ability to solve basic problems may slowly disappear from the minds of both human developers and artificial assistants. Who will ultimately benefit from this? People who are able to solve such problems. People with knowledge of the basics and how everything works.
So let's not rely on the fact that "there is already a solution for this," but let’s dig into how such a solution works. Understanding the deeper principles and basic building blocks of software is and always will be the key to creating robust, sustainable, and high-quality applications.
I see no problem with using tools that increase efficiency, but I have noticed that fundamental knowledge is gradually disappearing, and new knowledge is often subject to current trends that often last just days or weeks. Development is advancing at a tremendous pace, but when developing software, we must also consider stability, quality, and maintainability.
It is not uncommon for our software to run for years in operations where it is not possible to install a new update or patch every week, for example due to operational or security reasons. Every problem can lead to significant financial losses.

A practical showcase on how to leverage AI in the code review process with a bare minimum of external dependencies.

Using a concrete example from a client project, we will demonstrate the massive impact of integrating agents across all levels of the software development lifecycle, rather than just as coding assistants. I will attempt to provide a roadmap on how to build the development process of the future (or rather, of the present).

At Edhouse, we have long-term experience in bringing hardware to life. In reality, however, such hardware is not alive; we simply provide it a software interface that allows users to communicate with and control it. But breathing life into hardware, even if only artificial life, is not a problem at all these days.
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