DSDarsh Shahinfreecodecamp.org·4h ago · 11 min readHow to Use Prompt Engineering and Context Engineering for AI AgentsIn this tutorial, I’ll show you how prompt engineering and context engineering can improve an AI agent's performance. We’ll build a simple local agent, start with a baseline input, then improve it wit00
DSDarsh Shahinfreecodecamp.org·2d ago · 10 min readHow to Trace and Monitor AI Agents with LangSmithIn this tutorial, I'll show you how to trace and monitor a local AI agent with LangSmith. We'll build a small local AI agent and then enable LangSmith tracing for it so that we can inspect model calls00
DSDarsh Shahinfreecodecamp.org·4d ago · 12 min readHow to Serve a Multi-User AI Agent with FastAPI and StreamlitIn this tutorial, I’ll show you how to serve a multi-user local AI agent as a REST API using FastAPI, then add a lightweight Streamlit UI on top. Instead of interacting with the agent through a termin00
DSDarsh Shahinfreecodecamp.org·Jul 17 · 12 min readHow to Evaluate AI Agents with an LLM-as-a-Judge Harness in PythonIn this tutorial, I'll show you how to evaluate a local AI agent with a simple, repeatable evaluation harness. The harness runs the agent against a set of test cases, checks the results with both rule10
DSDarsh Shahinfreecodecamp.org·Jul 14 · 13 min readHow to Build Your First Multi-Agent AI System in Python and LangGraphIn this tutorial, I'll show you how to build a multi-agent AI system in Python with no orchestration framework. We'll also implement this in LangGraph with nodes, edges, and shared state. The point of00
