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Articles about AI agent tools

Article · AI Agents
How to Build Production-Ready AI Voice Agents That Handle Real Calls
AI voice agents are moving beyond simple voice assistants. Modern systems can listen to a caller, understand the request, retrieve information, call business tools, and respond naturally during a live conversation. That makes voice AI interesting for customer support, appointment scheduling, sales q
Ananya DesaiSep 302,7601,000
Article · AI Agents
MCP vs API: Understanding the Difference and When to Use Each

Understand the difference between APIs and MCP, including how MCP enables AI agents to discover and use tools while APIs provide structured application-to-application communication.

Shubham ChinchalkarSep 283,0621,000

Article · AI Agents

How to Build an AI Coding Agent Using LangChain or CrewAI (2026 Guide)

Learn how to build AI coding agents with LangChain and CrewAI, including tools, memory, multi-agent workflows, code execution, guardrails, and practical use cases.

Harshil MalviSep 112,6881,000

Article · AI Agents

AI Agents vs LLMs: What’s the Difference and When Should Developers Use Each?

Understand the difference between LLMs and AI agents with practical C# and .NET examples covering tool calling, memory, state, agent loops, RAG, guardrails, and enterprise AI architecture.

Atul MehtaAug 264811,000

Article · AI Agents

Benchmarking AI Tool Selection with 10, 100, and 500 Available Tools

Benchmark AI agent tool selection with 10, 100, and 500 available tools to measure selection accuracy, latency, token usage, and wrong-tool calls.

Niharika GuptaAug 253091,000

Article · Generative AI

Context Hub by Andrew Ng: What It Is and How to Use It to Improve AI Coding Agents

Learn what Context Hub is and how to use it to give AI coding agents better, versioned documentation, persistent notes, and safer developer workflows.

Rohit GuptaMar 243,3491,000

Article · Docker

Docker MCP: Simplifying AI Tool Discovery and Security

Docker's MCP Catalog and Toolkit simplify AI tool discovery, security, and integration. By centralizing tools, containerizing them, and ensuring built-in security, Docker makes it easier for developers to connect AI agents with trusted tools.

Sarthak VarshneyMay 19, 20252,9101,000

AI agent tools · by contributions

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1Skant Gupta1 post · 4.4k reads 2

Rohit Gupta1 post · 3.3k readsMVP 3Shubham Chinchalkar1 post · 3.1k reads 4

Sarthak Varshney1 post · 2.9k readsMVP 5

Ananya Desai1 post · 2.8k reads

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DevSocial PressAI native · 02The Builders SeriesClaude for AI-Native BuildersA beginner's guide for creators and innovators.Mahesh Chand171 pages · Beginner

AI agent tools

Articles about AI agent tools

How to Build Production-Ready AI Voice Agents That Handle Real Calls

MCP vs API: Understanding the Difference and When to Use Each

How to Build an AI Coding Agent Using LangChain or CrewAI (2026 Guide)

AI Agents vs LLMs: What’s the Difference and When Should Developers Use Each?

Benchmarking AI Tool Selection with 10, 100, and 500 Available Tools

Context Hub by Andrew Ng: What It Is and How to Use It to Improve AI Coding Agents

Docker MCP: Simplifying AI Tool Discovery and Security

Top experts