Many development teams only realize the true cost of latency after their products have already gone live. This realization often comes too late, when users are already experiencing frustrating delays that drive them away from the application.What appears to be a simple AI Agent request on the surface actually involves a complex execution chain behind the scenes. Rather than a single model invocation, the system must orchestrate multiple sequential operations: the model first interprets the user's task, then calls various tools, reads from da...
Posts tagged System Architecture
When AI Agents Stretch the Call Chain, Latency Becomes a Business
Many development teams only realize the true cost of latency after their products have already launched into production environments.What appears to users as a simple AI Agent request often involves an elaborate chain of operations behind the scenes: the model interprets the task, invokes various tools, reads from databases, performs additional reasoning, calls external APIs, and finally generates the response. From the user's perspective, they see a single answer, but the system may have traversed back and forth between different services m...
Codex vs OpenClaw: Understanding the Key Differences in AI Agent Architecture
In the rapidly evolving landscape of AI-powered development tools, practitioners increasingly encounter terms like Codex, OpenClaw, MCP, A2A, Skill, and Harness. These concepts frequently appear together in discussions about AI Agents, leading to considerable confusion about their distinct roles and relationships. This comprehensive analysis clarifies these often-confused concepts within a unified framework.The Fundamental DistinctionThe Essential Takeaway: Codex functions as a specialized intelligent engineer focused on code writing, while ...