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Timeweb Cloud: каждый третий запрос к документации — от ИИ-агентов, не людей

Михаил Шпаков, руководитель разработки Timeweb Cloud, рассказал: у облака появился новый тип пользователей — не люди, а ИИ-агенты. Каждый третий запрос к документации провайдера уже приходит из сетей ИИ-вендоров, а серверы всё чаще создаются не из панели управления, а через API — по запросу ассистента.

AI-processed from Habr AI; edited by Hamidun News
Timeweb Cloud: каждый третий запрос к документации — от ИИ-агентов, не людей
Source: Habr AI. Collage: Hamidun News.
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Mikhail Shpakov, head of development at TimewebCloud, published a column on Habr on July 23, 2026, about the cloud provider gaining a new type of user — AI agents: every third request to TimewebCloud's documentation now comes from AI vendor networks, and servers are increasingly created via API on an assistant's command rather than from the control panel.

Who uses the cloud now?

The new user of TimewebCloud is not a human but an AI assistant acting on a human's request. According to Mikhail Shpakov's observation, agents first turn to the documentation to understand how the API works, and then form requests to create servers themselves.

"Our cloud has a new type of user, and it's not people," —

Mikhail Shpakov, head of development at TimewebCloud.

Previously, a client would click buttons in the control panel. Now a layer of assistant stands between the human and the infrastructure, translating the task "spin up a server for me" into specific API calls. The control panel doesn't disappear, but it stops being the sole and primary entry point: a significant part of the work is taken over by a model that reads the documentation and hits the endpoints on the user's behalf.

What do Timeweb's numbers show?

Every third request to TimewebCloud's documentation comes from AI vendor networks — this is the column's key figure. That is, the documentation is increasingly read not by developers but by models: they either train on it or answer users' questions in real time about how a particular cloud works.

  • Every third request to TimewebCloud's documentation comes from AI vendor networks
  • Servers are increasingly created by API requests rather than clicks in the control panel
  • API requests are written by an assistant on a human's behalf
  • The column's author is Mikhail Shpakov, head of development at TimewebCloud
  • Earlier the team described a system of automated tests with 5,000+ checks and cloud visualization

Shpakov emphasizes that he is viewing this trend from inside the provider and backs his conclusions with internal numbers rather than general market reasoning. According to him, there are many trends in the cloud market, but he sees the agentic one as the closest and considers it the main one for the coming years.

Why this matters to providers

For cloud providers, the shift toward agents changes product priorities: documentation and the API become an interface not for a human but for a machine. If every third request to the docs comes from an AI network, then the convenience of the API and the accuracy of endpoint descriptions directly affect how well an agent can manage the infrastructure.

TimewebCloud draws conclusions from this picture for the coming years: the software layer that assistants turn to becomes more important than the graphical interface. It's no longer enough for a provider to draw a convenient panel — it needs someone else's model, one that creates servers on the user's behalf, to "understand" its API and documentation.

What counts as a good product is also changing. A beautiful dashboard stops being the decisive argument if the real operations — creating servers, configuring the network, scaling — are initiated not by a human with eyes and a mouse, but by an agent through a strictly described API. The bet is shifting toward machine-readable documentation and predictable endpoint behavior.

What this means

The cloud is turning into infrastructure that is increasingly managed not directly by humans but by AI agents via API. For providers, this means that the quality of documentation and API interfaces becomes a competitive advantage in a world where an assistant spins up the server and a human only sets the task in words. The figure "every third request to the documentation comes from AI vendor networks" is an early but vivid signal that this shift is already underway, not just a forecast on paper.

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