Research Insights Made Simple 22How to Build a Managed Agent Stack (Category AI4SDLC)

What does the company do in the agent platform: the client code, model, execution contour, data, or the agent’s right to change internal systems? These things are often confused and reduce the choice to a dispute between “own OpenCode” and “alien Claude Code or Codex.”

Monday. 20 July 17:00 In MSK, Misha Trifonov and I from Cloud.ru will analyze the live This false fork, and let's collect a full description of the agent stack within the 22- The podcast release. Research Insights Made Simple.

Misha Trifonov is the Director of the Department of Internal Development Platform Cloud.ru and has his own interesting channel @trifonovit

The working formula is wider than the usual pair “model + tie”: Agent stack = binding + model + tools + identity + technical boundaries of execution.

The binding controls the work cycle and the context, the model offers a plan, the tools create a real effect. Identity, sandbox, and policy engine determine on whose behalf and within what boundaries an agent acts.

Let’s talk about eight configurations: from standalone stack and local model to external planner, enterprise tool gateway and full SaaS. Each scheme has its own price of control, speed, lock-in and operation.

We will discuss several non-obvious consequences:

• open source ≠ local inference; Self-hosted е Safe activities; Employee access а Agent access Internal MCP – narrow powers; External API е External right of action; Multi-model router = separate platform.

The key idea is to divide the two paths. The model gateway controls which data goes to which model. The instrumental gateway decides who can change what and on whose behalf. Between them you need a single identity, policy, trace and evals.

And here the conversation turns to safety. The attack is not an abstract model, but a path from an untrusted README, issue or tool result to an action with real powers. Therefore, restrictions should be provided by the infrastructure, not the system pump.

In general, we’ll discuss not “which agent is better,” but what minimum configuration to choose for a pilot, enterprise platform, or adjustable circuit—and who is responsible for actually changing the system.

Add in. stream to your calendar so you don’t miss it.

#AI4SDLC #AI #Agents #Architecture #PlatformEngineering #Security #Engineering