Czech IT companies Ataccama and Sudolabs are changing software development in favor of AI agents
According to their management, Ataccama and Sudolabs are fundamentally changing software development in favor of AI agents: Ataccama is shrinking teams and building an internal marketplace of tools for Claude, while Sudolabs has banned code writing and laid off employees unable to adapt.
The Prague-based company Ataccama and the Slovak company Sudolabs (with development in Prague) are, according to statements from their management, significantly changing the way they develop software in favor of AI agents and limiting traditional manual code writing. Ataccama's new CEO Martin Záhumenský, installed after a $150 million investment from Bain Capital, said that a large part of the people in the company no longer write code and that classic programming, in his view, "will go into the background." According to him, the company has about 10 top AI engineers who achieve median metrics four times better than the rest of the company, and it is moving to smaller teams of three to four people, which are faster than traditional nine-person teams.
According to Záhumenský, Ataccama is building an internal marketplace of tools for Claude, which is meant to become the center of development. The company now mainly expects developers to oversee AI, do prompting, create best practices, and address reliability and security, while at the same time wanting to retain engineers who understand the lower layers of software.
Sudolabs CEO Jozef Petro said that his company has banned software engineers from writing code and had to lay off some employees because they were unable to adapt to the new way of working. According to him, the company is hiring people willing to develop themselves and is able to change entire processes and tools within weeks.
Both statements come directly from the companies' management and represent their own description of internal changes; they are not independently verified productivity figures.
Why it matters
The case shows a concrete corporate practice where not only tools but also team organization, required skills, and personnel decisions in software development are changing. For programmers, it is a signal that narrow technical specialization without the ability to work with AI agents can be a risk to their employment; for companies, it is an example of how teams can be shrunk and development accelerated, although the productivity figures are stated directly by the companies' management without independent verification.
Two audiences, two different impacts
What this means
For individuals
For programmers, the expected job content is shifting from manually writing code to overseeing AI agents, prompting, checking reliability and security, and broader involvement in product and business; according to the management of both companies, failure to adapt can lead to job loss.
For a business
Software companies may consider restructuring development teams into smaller units with AI agents and reassessing the skills required in hiring and performance evaluation, including the risk of laying off people who cannot adapt to the new way of working.
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Event sources
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