The AI Agent Stack in 2026: Every Layer Explained
A complete breakdown of the AI agent stack in 2026. Foundation models, orchestration frameworks, tools, observability, vector databases, and deployment options.
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8 articles tagged agent-design. Browse the full blog.
A complete breakdown of the AI agent stack in 2026. Foundation models, orchestration frameworks, tools, observability, vector databases, and deployment options.
How prompt engineering differs for AI agents vs chatbots. System prompts, tool definitions, ReAct, structured outputs, persistence, error handling.
Agent prompting is not chatbot prompting. Learn how to design system prompts, tool descriptions, planning prompts, and reflection prompts that make agents.
A ranked roundup of the best AI agent frameworks in 2026. LangGraph, CrewAI, AutoGen, LlamaIndex, Mastra, Pydantic AI, and more, with picks per use case.
A deep-dive comparison of Chain of Thought and ReAct prompting patterns - what each one does, where each one breaks down, and how to choose the right one.
A practical walkthrough for building your first AI agent from scratch: choosing a goal, picking a framework, scaffolding the loop, adding tools and.
A practical guide to the most important AI agent architecture patterns: ReAct, Plan-Execute, Reflection, Multi-Agent, and more - with real examples and.
A practical comparison of LangGraph, CrewAI, AutoGen, Mastra, Pydantic AI, and more. Decision matrix, use-case breakdowns, and a clear recommendation for.