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.
SandBase Blog
Insights on AI agents, model routing, and building production-ready AI systems.
Best AI Sandboxes for Agent Development in 2026
A comparison of AI sandboxes for agent development in 2026: E2B, Modal, Daytona, and self-hosted options. Cold-start latency, isolation, and pricing.
Building a Self-Correcting AI Agent with Reflection
How to build a self-correcting AI agent using the reflection pattern and persistent memory. A runnable Python loop that critiques and fixes its own output.
Agent Observability: Logging, Tracing & Debugging
How to debug AI agents in production with structured logging, distributed tracing, and span-level cost tracking. What to capture and what to ignore.
AutoGen vs CrewAI: Which Multi-Agent Framework Wins in 2026?
A head-to-head comparison of AutoGen and CrewAI for multi-agent systems in 2026: architecture, developer experience, cost, and when to pick each.
5 Agent Design Patterns for Robust, Cheap AI Systems
Five agent design patterns for reliable, low-cost AI systems: ReAct, Plan-and-Execute, Reflection, Router, and Tool-First, with trade-offs for each.
Claude Sonnet 4 vs GPT-4o: Best LLM for AI Agents?
Claude Sonnet 4 vs GPT-4o for AI agents: tool-calling reliability, long-context behavior, cost, and latency. Which model to pick for which agent.
Build a Custom MCP Server for Data Analysis in 30 Minutes
Build a custom MCP server that lets any AI agent run data analysis on your CSVs and databases. A complete, runnable TypeScript walkthrough.
Inside OpenHands: How an AI Coding Agent Executes Code
A teardown of how OpenHands, the open-source AI coding agent, plans, edits files, and runs code in a sandbox: the event-stream and action-observation loop.