Alin Dobra

Evaluator-Optimizer Loop: Continuous AI Agent Improvement

Learn how to build AI agents that evaluate their own outputs and iteratively improve them. Create self-improving systems that consistently produce high-quality results.

Human-in-the-Loop: Balancing AI Autonomy and Human Control

Learn how to build AI agents that know when to ask for help. Implement approval workflows, escalation patterns, and collaborative human-AI systems that combine the best of both.

Memory for AI Agents: Short-term, Long-term, and RAG

Learn how to give AI agents memory—the ability to remember past interactions, learn from experience, and access knowledge beyond their training. Build agents that get smarter over time.

Microsoft Agent Framework with HopX: Secure Code Execution for AI Agents

Build AI agents with Microsoft's new Agent Framework and HopX sandboxes. The unified successor to AutoGen and Semantic Kernel, now with isolated code execution.

The Orchestrator Pattern: Coordinating Complex AI Agent Workflows

Learn how to build orchestrator agents that coordinate multiple specialized agents, manage complex workflows, and handle dynamic task routing. Master the pattern that makes multi-agent systems actually work.

The Planning Pattern: How AI Agents Break Down Complex Goals

Learn how to implement planning in AI agents—the ability to decompose complex goals into executable steps. Build agents that think before they act and adapt when things change.

ReAct Pattern: Combining Reasoning and Acting in AI Agents

Learn the ReAct pattern—where AI agents think out loud before acting. Build more reliable agents that show their reasoning, catch errors early, and solve complex problems step by step.

Microsoft AutoGen with Isolated Code Execution Using HopX

Build production-ready AutoGen agents with secure code execution. Replace Docker with HopX sandboxes for faster, safer multi-agent conversations that can run Python.

CrewAI Multi-Agent Pipelines with Secure Code Execution

Build production-ready CrewAI agents that execute code safely. Learn how to create multi-agent workflows where each agent can run code in isolated HopX sandboxes.

LangChain Tools with Secure Code Execution Using HopX

Learn how to build LangChain agents that execute code safely in isolated sandboxes. Complete tutorial with custom tools, PythonREPL replacement, and production-ready patterns.

LlamaIndex + HopX: Building RAG Agents with Code Execution

Combine LlamaIndex's powerful RAG capabilities with HopX sandboxed code execution. Build agents that can retrieve information AND compute answers with Python.

Prompt Chaining: How to Build Sequential AI Workflows

Learn prompt chaining—the technique of connecting multiple LLM calls where each output becomes the next input. Build reliable, debuggable AI pipelines with practical Python examples.

The Reflection Pattern: Building Self-Correcting AI Systems

Learn how to implement the reflection pattern—where AI reviews and improves its own output. Build more reliable agents that catch errors, refine answers, and produce higher-quality results.

Scrape and Analyze Airbnb Data with Firecrawl and HopX

Build a complete web scraping and data analysis pipeline using Firecrawl for extraction and HopX sandboxes for secure processing. Extract Airbnb listings, clean data, and generate insights.

Tool Use: How AI Agents Interact with the Real World

Learn how to give AI agents the ability to use tools—APIs, databases, code execution, and more. Build agents that don't just talk, but actually do things.

Vercel AI SDK: Streaming Code Execution with HopX

Build AI applications with the Vercel AI SDK that execute code in real-time. Stream sandbox output to users as it happens using Server-Sent Events and React Server Components.

What Is an AI Agent? The Complete Guide for Developers

AI agents are more than chatbots. Learn what makes an AI system agentic, the key components every agent needs, and how to build production-ready autonomous AI systems.

Why AI Agents Need Isolated Code Execution

AI agents that execute code are powerful but dangerous. Learn why hardware-level isolation is essential for production AI systems and how to avoid costly security breaches.

Announcing HopX MCP Server: Code Execution for AI Assistants

Introducing the HopX MCP Server - enable Claude, Cursor, and VS Code to execute code in isolated cloud containers. Install with one command and give your AI assistant superpowers.

How HopX Achieves 100ms Cold Starts

Deep dive into the technology behind HopX's ultra-fast sandbox boot times. Learn about micro-VMs, memory snapshots, and the architecture that enables sub-100ms cold starts.