531 posts tagged with "AI agents"
AI agents and autonomous systems
SOC 2's 'No Human Request' Problem: Why Your AI Agent Needs a Delegation Chain, Not Just an Audit Log
SOC 2 auditors now flag 'no human request' as an accountability gap even with a complete audit log. Here's the credential pattern — encoding who authorized what, not just logging it — that actually satisfies the Trust Services Criteria for an agent-native deploy API.
Vibe Coding's $4.7B Quarter: What 92% Developer Adoption of AI Codegen Means for Who Owns the Deploy Target
Vibe-coding tools hit $4.7 billion in 2026 spend with 92% daily developer adoption, but every one of those dollars pays for the tool that writes the app, not the platform that runs it. Here's the deploy-target map — which vendors bundle deployment, which stay open to any agent — and what that split actually costs once a prototype becomes a real production app.
1Panel Bakes Native AI Agent Support Into a VPS Control Panel: What It Ships, and Where It Stops
1Panel now calls itself the only VPS control panel with native AI agent support. Here's exactly what that ships versus Coolify's and Dokploy's MCP servers, and the specific fleet-lifecycle gap none of them close.
Treat Your AI Agents Like Tenants: RBAC, Quotas, and Autonomous Drift Remediation as the Next Platform Engineering Primitive
A concrete blueprint for giving an AI agent its own Kubernetes namespace, RBAC role, resource quota, and audit trail — instead of just handing it a human's API token.
Agent-Substrate vs. Kubernetes' Agent-Sandbox CRD: What 30x Pod Oversubscription Costs You in Scheduling Complexity
Agent-Substrate claims 30x pod oversubscription over Kubernetes' Agent-Sandbox CRD by sharing a worker pool instead of pinning one pod per agent. Here's exactly what that density costs in scheduling complexity, and when it's worth paying for.
The AI Sandbox Market Just Got a Hyperscaler Problem
Five hyperscalers shipped agent-execution sandboxes within seven months. Here's what each one actually does, how it's squeezing E2B, Daytona, and Modal on price, and why the entry itself makes the case for running agent code on the same fleet that already deploys your app.
CircleCI Built a Second CI Pipeline Just for AI Agents — A Git-Push PaaS Already Has One
CircleCI built a whole second CI system — a microVM fleet, a CLI, three separate agent hook integrations — just to get test feedback back to an AI agent in under 60 seconds. A platform that already rebuilds on every git push was one exposed entrypoint away from the same thing.
Claude Code's Agents Now Push and Open PRs Unattended — Where Should Your Deploy Trigger Actually Bind?
Claude Code v2.1.198 shipped background agents that commit, push, and open a draft PR with no human in the loop. Here's the concrete trigger-point table for where a deploy pipeline should actually bind when the pusher might be an agent, plus the four-item audit checklist a self-hosted deploy-from-chat MCP server needs first.
Claude Code's Dynamic Workflows Cap Concurrency at 16, Not Hundreds: What a Real Subagent Burst Does to a Deploy MCP Server
Claude Code's Dynamic Workflows can fan out 1,000 subagents per run, but the runtime caps live concurrency at 16. Here's what that actual burst shape requires from an MCP server that exposes deploy and rollback.