The Authorization Gap in AI Operations: Building a Policy-Enforced EKS Control P

<!-- SC_OFF --><div class="md"><p>I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback.</p> <p>Agent demos

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs

arXiv:2605.05440v1 Announce Type: new Abstract: The security discussion around agentic AI focuses heavily on prompt injection. This paper argues that multi-agent systems also

<h1> Autonomous NOC Operations: What We Built and What We Measured </h1> <p>Every network operations engineer has lived this night: 2:47 AM, your phone buzzes. An alert fires for

<p>There is a moment in security design when a single observation changes everything. NanoClaw 2.0 shipped recently with a capability that stops most developers cold: a gateway

<h2> The Numbers Don't Lie </h2> <p>The AI Engineering Report 2026 analyzed telemetry from 22,000 developers across more than 4,000 teams. The headline metrics look impressive:

<h2> The Hidden Tax on Every MCP Request </h2> <p>Here is something nobody talks about when they demo MCP integrations: token costs at scale.</p> <p>I have been running MCP setups

arXiv:2604.05229v1 Announce Type: new Abstract: Agentic AI systems plan, use tools, maintain state, and produce multi-step trajectories with external effects. Those properties