Manage software version updates in a modern way with artificial intelligence

It is common for companies to have some of their software lagging behind the development of the technologies used in them. For example, applications based on React or Django may be functionally sound but use outdated versions of these technologies. This type of technical debt does not usually require the construction of a completely new system, but it increases risks and complicates development work. At this point, the principles of legacy system modernization can also be effectively applied to simple version updates – and bring significant value to organizations.

Fluentia utilizes an AI-based modernization model developed by Fluentia for this purpose.

Why is it important to keep track of version updates?

The main reason for keeping up with version updates is security. Outdated library and platform versions often contain known vulnerabilities that can only be fixed by updating. Secondly, up-to-date versions facilitate further development: new features, integrations, and third-party libraries only work reliably with modern dependencies. The third perspective relates to platform support. Applications live in constantly changing browser, server, and cloud environments, where updates can break applications that rely on old technology. The longer updates are postponed, the more laborious, expensive, and disruptive the update solution often becomes.

Version updates are a way to ensure that software remains up to date in terms of functionality and security – and that development work can continue without unnecessary obstacles.

How does the modernization model work with version updates?

Many organizations are accustomed to handling version updates manually. If the interval between updates is long, manual work takes time and is prone to errors. In the worst case, errors caused by updates can take weeks or months to fix. The AI-based modernization model offers a new approach to this problem.

When used correctly, artificial intelligence enables this complex and error-prone work to be done systematically and reliably. Artificial intelligence makes the necessary code changes during updates and tests functionality after each change. All that remains for humans to do is final approval testing once the whole system has been updated.

Benefits of an AI-based model in version updates

Implementing version updates as a modernization process helps keep applications secure, compatible, and scalable. At the same time, the workload and risks associated with updates can be significantly reduced by utilizing AI-assisted automation. This enables a cost-effective and smooth way to keep software viable in the long term.

Are software version updates a pressing issue for you? Contact us, and we will explore together how AI-based software modernization could streamline your update process! Book a meeting using the form below.

Read more about software modernization:

January 20, 2026
general
Authors
Kyösti Puro
Senior Software Developer
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