Debugging AI Agents: A Workflow from JSON Logs to Visualization
A professional workflow for debugging AI agents using tracing and log visualization techniques, helping cut diagnosis time from hours down to minutes.
Việt Trần
Founder & CTO of 200Lab — a software engineering academy in HCMC. 13+ years building systems that handle 100K–500K+ concurrent users. From senior iOS dev at Foody to Solution Architect at Sendo and Blockchain Adviser at Thetan Arena. Now teaches the next generation of engineers through 200Lab with deep-dive courses on Golang, microservices, system design & DevOps.
Articles (26)
MCP Server Best Practices: Optimizing Performance for AI Agents
Explore MCP Server Best Practices to build smart AI Agents, minimize hallucinations, and ensure stable operations. View the detailed technical guide now.
Claude Code MCP Setup Guide: Optimizing AI Coding Agents
Discover how to integrate the Model Context Protocol into Claude Code to supercharge your programming capabilities. See the detailed MCP Server setup guide right here.
Multi-Agent Architecture: 4 Core Models and Practical Applications
Discover what Multi-Agent Architecture is and the 4 core design models that help optimize AI systems. Learn how to choose the right architecture for your project today!
AI Agent Architecture: A Comprehensive Developer's Guide
Explore the complete AI Agent architecture: from the LLM core, memory, and planning to tool integration. Learn how to design robust, autonomous systems here.
AI Agent Memory: The Solution for Better Recall and Efficiency
Discover AI Agent Memory - The technology that helps AI remember conversations and work like a partner. Learn how to optimize your personalized AI experience today.
How to Test AI Agents: Process and Performance Evaluation Methods
Learn about in-depth AI Agent testing processes to fix hallucinations and behavioral deviations. Increase the reliability of your LLM systems today.
AI Agent Best Practices: A Guide to Building Autonomous Systems
Discover best practices in AI Agent design to effectively create adaptive systems. Learn about Brain, Tools, Memory architecture and the Plan-Act-Reflect loop today.
How to Write Expert-Level Prompts for AI Agents Handling Complex Tasks
Discover effective prompting techniques for AI agents and learn a 7-part framework that helps them autonomously plan and execute complex tasks with high accuracy.
How to Transition from Single-Agent to Multi-Agent Systems
Learn when to upgrade from a single-agent to a multi-agent setup to maximize AI performance, and uncover golden rules for designing truly effective autonomous systems.