Cursor self-hosted machines: is it on-prem, and what data leaves?
Cursor's September update explained: self-hosted execution, cloud inference, code and tool-output data flows, team pools, and infrastructure costs.
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Self-hosted AI
8 research articles and engineering guides tagged “Self-hosted AI”. Each opens with a concise answer and links to primary evidence.
How Engineering Teams Should Govern AI Coding Agents in 2026
A practical governance checklist for teams adopting AI coding agents: environment control, permission boundaries, cost per accepted task, and how to evaluate self-hosted deployment claims.
Read researchMonkeyCode July–August 2026: Desktop Clients, Mobile Builds, and a Widening Model Bench
A verified look at MonkeyCode's recent releases: v26072801, v26072101, the new MonkeyWork desktop client, MiniMax M3 day-one support, and why the product is doubling down on team governance over autocomplete.
Read news analysisAir-Gapped AI Coding: Running an AI Development Platform With No Internet Egress
Run an AI development platform air-gapped with no egress: the trust boundary, the model route, and what to verify before trusting an offline claim.
Read researchKeeping Proprietary Code Private with AI Coding Tools: A Data-Governance Guide
After Samsung's 2023 ChatGPT code leak, every engineering team should know exactly where their code goes. Here is how to keep proprietary code private.
Read researchSecuring AI Coding Agents: An OWASP-Aligned Checklist for Teams
As coding assistants become autonomous agents, their biggest risk shifts from wrong code to unsafe actions. Map the 2025 OWASP LLM Top 10 to concrete controls.
Read researchShadow AI in Engineering: How to Govern Ungoverned AI Use
Surveys find most employees now use AI at work while far fewer organizations govern it. Here is how engineering leaders can replace shadow AI with a sanctioned path.
Read researchSelf-Hosted AI Development Platform: A Practical Deployment Checklist
Plan a private AI development platform with a clear checklist for infrastructure, models, source control, security boundaries, operations, and rollout.
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