Orloj: Agent Infrastructure as Code
Review Orloj's infrastructure-as-code approach to multi-agent systems: declarative resources, governance, workers, retries, isolation, and trade-offs.
Tag: #agent-infrastructure
Cloudflare Workers: The Natural Home for MCP v2
How Cloudflare's serverless platform became the perfect deployment target for stateless MCP servers, with updated SDKs and zero-config scaling.
How Duolingo Built Their Production Agent Platform
How Duolingo built a shared agent platform using Temporal workflows, declarative definitions, and multi-runtime support to stop teams from rebuilding infrastructure for every agent project.
MCP Goes Stateless: How Google Scaled Agent Infra
Google led the biggest MCP spec change since launch—removing stateful sessions entirely. Here's how the 2026-07-28 spec makes MCP cloud-native.
AWS Bedrock AgentCore Runtime Instances: Pricing & Deployment
AWS Bedrock AgentCore Runtime Instances guide: understand persistent EC2-backed agents, 14-day sessions, GPU support, pricing, deployment, and use cases.
SandBase Update: Agent Infrastructure July 2026
A short SandBase product update on agent-first messaging, model registry updates, runtime examples, status visibility, and open-source agent infrastructure assets.
Why Production AI Agents Need a Runtime Layer
The agent runtime layer is the production infrastructure between your framework and model. Why it decides durability, isolation, and recovery.
AI Agent Infrastructure Stack 2026
A map of the 2026 AI agent infrastructure stack: inference engines, model gateways, agent frameworks, and dev environments, with the right tool for each layer.
Coder Explained: Secure Environments for Devs and Agents
What Coder is, how it provides governed cloud workspaces for developers and AI agents, and why enterprise agents need this layer.
DeerFlow Explained: ByteDance's SuperAgent Harness
What DeerFlow is, how ByteDance built an open-source SuperAgent harness for multi-hour tasks, and what 'harness' means for agent infrastructure in 2026.
Dify AI: Pricing, Self-Hosting & Alternatives (2026)
Dify AI explained: pricing, self-hosting, architecture, limits, and comparisons with LangGraph and n8n - plus when to use it in production.
LangChain vs LangGraph: Which Agent Framework? (2026)
LangChain vs LangGraph compared for agent development in 2026. When to use chains vs graphs, state management, human-in-the-loop, and migration paths.
LiteLLM Explained: Open-Source LLM Proxy Gateway
LiteLLM is an open-source LLM proxy that unifies 100+ providers behind one API. Setup guide, failover, cost tracking, and when LiteLLM beats managed alternatives.
Mastra Explained: The TypeScript-First AI Agent Framework
What Mastra is, how the Gatsby team built a TypeScript-native agent framework, and why it matters for JS/TS developers building agents in 2026.
n8n Explained: AI Workflow Automation for Agent Builders
What n8n is, how its 70+ AI nodes enable agent workflows, and when to choose it over Dify or code-first approaches for building AI automation in 2026.
SGLang: Low-Latency Inference Engine for Agents
How SGLang works, why RadixAttention gives agents faster prefix reuse, and when to choose it over vLLM for production inference in 2026.
vLLM Explained: The Inference Engine Behind Agent Stacks
How vLLM works under the hood, why PagedAttention matters for agent workloads, and where it fits in a production agent infrastructure stack in 2026.
Why Autonomous AI Agents Need Secure Sandboxes
Autonomous AI agents that run code and shell commands need isolation. Why sandboxes are non-negotiable in production, the isolation levels, and how to choose.