Anyone working on AI Agent implementation has likely encountered this dilemma:You're using a flagship model, have revised your prompts hundreds of times, and tuned your RAG system countless times. Yet when deployed in real-world scenarios, the task success rate simply won't improve—the agent sometimes performs brilliantly, other times goes completely off-track.The problem doesn't lie with the model itself, but with the operating system running outside the model—the Harness.What Is Harness Engineering?The term "Harness" originally refers to r...
Posts tagged Context Management
Beyond Prompt Engineering: Harness Engineering as the Key to Stable AI Agent Deployment
Developers working on AI Agent deployment have likely encountered this frustrating dilemma: using flagship models, revising prompts hundreds of times, tuning RAG systems repeatedly—yet task success rates remain stubbornly low in real-world scenarios, with performance fluctuating unpredictably between brilliant and completely off-track.The root problem lies not in the model itself, but in the operational system surrounding it—the Harness.Understanding Harness EngineeringThe term "Harness" originally refers to reins or restraint devices. In AI...
Mastering CLAUDE.md: The Complete Guide to Persistent AI Assistant Configuration
This is the third installment in our comprehensive Claude Code Mastery series. In the previous article, we successfully configured permission settings to enable Claude Code to access your files safely and controllably. Today, we will take this a significant step further by leveraging CLAUDE.md to grant the AI assistant long-term memory capabilities, effectively eliminating the frustrating need to repeatedly explain your technology stack with each new conversation.The All-Too-Familiar ScenarioLet me paint a scenario that you may find all too ...