The xpander blog
Written by the engineers who build and run agents every day. Learn how to design, secure and govern agents that hold up in production.
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When agents escape: boundaries in AI Agent platforms
An autonomous agent system escaped its evaluation environment in July 2026. Read more about why this could not happen to customers using xpander.
MP
Moriel Pahima
8 min read
Becoming an AI-Native Enterprise: Where the Agent Harness Stops and the Platform Starts
The xpander agent harness turns any model into a reliable, acting agent. Learn what it includes, what it can't do alone, and when you need the full platform.
RS
Ran Sheinberg
13 min read
Hyperscaler AI agent platforms are a double-edged sword
Why building on AWS, Azure, or Google's agent services creates fragmentation — and what a cloud-agnostic foundation layer actually requires.
RS
Ran Sheinberg
10 min read
Enterprise World Model: The Next Unlock for AI Agents
The enterprise world model gives AI agents a persistent, shared view of your company. Here's what it is, how it works, and what it unlocks
RS
Ran Sheinberg
8 min read
Best AI Agent Development Platforms 2026: Startups, Hyperscalers, and Beyond
A technical comparison of six AI agent development platforms in 2026 — AWS Bedrock AgentCore, Azure AI Foundry, Google Vertex AI, CrewAI, LangGraph, and xpander.ai. Covers build experience, orchestration depth, deployment flexibility, lifecycle management, and cloud lock-in.
RS
Ran Sheinberg
12 min read
xpander.ai vs. Off-the-Shelf AI SRE Tools: A DevOps Agent Comparison (2026)
xpander.ai vs. Resolve AI, incident.io, AWS DevOps Agent, and Datadog Bits AI — a direct comparison of off-the-shelf AI SRE tools against building a custom DevOps agent. See which approach covers your full operational surface in 2026.
RS
Ran Sheinberg
13 min read
Sandbox Execution for AI Agents: How Secure Code Execution Unlocks 100x Agent Capabilities
Sandboxed code execution gives AI agents the ability to write and run code at runtime. Learn how xpander.ai makes it a platform capability for any agent.
RS
Ran Sheinberg
8 min read
Gartner's Hype Cycle for Agentic AI: What It Means for AI Agent Development Platforms
Gartner's 2026 Hype Cycle for Agentic AI places AI agent development platforms at the Peak. What the category definition means for enterprise platform buyers.
RS
Ran Sheinberg
17 min read
Agentic Orchestration: What It Is and Why It Matters
Agentic orchestration is the runtime layer that coordinates specialized AI agents, tools, and workflows across any interface to complete long-running, multi-step tasks with state, governance, and control.
RS
Ran Sheinberg
11 min read
How Domain Experts Build No-Code Agents Engineers Can Ship
Learn how domain experts build no-code AI agents and deterministic workflows that engineers can integrate into products through APIs, with the platform engineering controls needed for production.
RS
Ran Sheinberg
12 min read
Personal AI Agents for Workflow Automation and System Integration
A practical guide to personal AI agents for workflow automation and system integration, covering Slack and Teams, CRM and ERP use cases, zero-setup rollout, agent monitoring, and AI agent deployment.
RS
Ran Sheinberg
11 min read
How to Deploy AI Agents on Your Enterprise Data Stack
Learn how to deploy AI agents on Snowflake, Databricks & BigQuery. Architecture patterns, production requirements, and cross-platform comparison for enterprise data teams
RS
Ran Sheinberg
18 min read
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Any model, any environment, any surface. Permissioned per user and audited on every action.