Tag: agents
Browse 4 practical software engineering resources tagged with "agents". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving agents. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
AI Agents
AI agents are systems that use language models to plan, act, and interact with tools or environments. They extend LLMs beyond simple text generation.
The resources below cover agent architecture, tool use, planning, memory, multi-agent systems, and guardrails. Each guide helps you build agents that are useful and safe.
Every resource includes clear explanations, copy-paste code, and practical warnings. Use them to make informed decisions, avoid production pitfalls, and speed up your delivery. If you are just getting started, read the beginner-friendly articles first; if you are experienced, jump straight to the advanced patterns and architecture guides. New resources are added regularly, so bookmark this page and check back for the latest patterns.
Build Stateful AI Agents with LangGraph State Machines
Create multi-step AI agents with LangGraph using state machines, conditional edges, tool calling,...
AI Agent Design Document Template
Document AI agent architecture, tools, memory, reasoning patterns, safety guardrails, evaluation...
Complete Guide to AI Agents in Production
Build production AI agents. Covers agent architectures, tool use, planning, memory, multi-agent...
Complete Guide to LangChain in Production
Run LangChain in production. Covers chains, agents, memory, tools, LCEL, streaming, callbacks, RAG...