Cognition AI

What tech stack does Cognition AI use?

Cognition AI's stack is detected from public sources such as product documentation, engineering signals, job posts, integrations, and third-party reporting. It is directional, not a complete internal CMDB. Signals come from Devin product material, Microsoft partnership reporting, acquisition coverage, and public product behavior; exact model/provider mix is not fully disclosed.

Frontend
Devin IDE and web app
Backend
Agent orchestration
Cloud
Microsoft Azure partnership
Data
Codebase indexing
Critical path
Sandboxed coding environments
Developer tools
GitHub and IDE integrations

Cognition AI's detected tech stack

Public signals point to Microsoft Azure, Linux sandboxes, GitHub, VS Code-style IDE and related tooling.

  • Microsoft Azure· Infrastructure
  • Linux sandboxes· Execution
  • GitHub· Developer integration
  • VS Code-style IDE· Frontend
  • Code search· Data
  • LLM agents· Backend

Sources:Cognition company profileCNBC - Cognition to buy Windsurf

What does Cognition AI use on the backend and infrastructure?

Microsoft Azure, Linux sandboxes, LLM agents. The most important operational pattern is that AI workloads depend on reliable orchestration, inference, evaluation, security, and cost controls.

What does Cognition AI use on the frontend, data, or GTM tooling?

VS Code-style IDE, Code search. Public product surfaces and integrations show where an outside vendor can connect without requiring a full platform replacement.

What Cognition AI's stack means if you sell to them

The strongest pitch is integration or displacement against a named layer: developer workflow, model serving, security, data governance, observability, support operations, or GTM systems. Because the stack is partly detected, sellers should validate current tooling in discovery and frame the value around measurable reliability, latency, cost, compliance, or workflow speed.

As of June 2026.Sources:Cognition company profileCNBC - Cognition to buy Windsurf

Cognition AI — frequently asked questions

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