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In this article, I continue exploring the automation of code generation as part of my effort to migrate this blog's editor, a Windows desktop application I developed myself, to my new universal platform, AIDBDeveloper, which brings together advanced application services, database management and artificial intelligence.

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I'm continuing my work on code automation for my application, AIDBDeveloper. This time, I've set my sights quite a bit higher: generating all the classes needed to implement the editor for this very blog as a class library integrated into the platform.

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In this article, I’m presenting the first video in a new series about automating code generation with artificial intelligence. The idea is not to find the best agent capable of generating an entire application, or to work out how many agents we need to chain together to get better results. In fact, the approach is almost the opposite.

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A few years ago, I started a fairly ambitious project: building a database of words and multi-word terms that could be used to analyse texts automatically. The idea was to gather enough syntactic, lexical and semantic information to dissect a text and, from that data, study its structure, style and content.

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Some time ago, I published an AI-integrated chess database application on this blog. That project was already an experiment in making AI part of the application itself, rather than simply placing a chatbot next to it.
AIDBDeveloper is the natural evolution of that idea.

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It’s been quite a while—probably since the pandemic—since I last wrote anything new on this blog. I’ve been pretty busy with other projects, the most important of which has been learning as much as possible about artificial intelligence. I feel I’ve now made enough progress to start building interesting things with it, so I’m bringing the blog back to life with a new section focused mainly on integrating AI into applications, especially .NET applications.

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