What if you could make your workflows not just faster, but ten times faster? Better Stack outlines how Claude Code’s latest update has transformed Model-Connected Plugin (MCP) functionality, ...

LangSmith Agent Builder moves from beta to GA, letting non-developers create AI agents for complex workflows without writing code. LangChain has moved its LangSmith Agent Builder from public beta to ...

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...

A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model (LLM) responses through prompt ...

This repository demonstrates using an MCP (Model Context Protocol) tool server together with LangChain / LangGraph agents to run tool-backed reasoning. It contains a tiny math server exposing MCP ...

In this talk, Jaswanth Manigundan shares a practical view of how AI and the Playwright MCP server can support day to day web testing. He draws on his experience as a tester, automation engineer, and ...

While the industry discusses the potential of AI agents in test automation, most solutions remain experimental. The Unified MCP Server changes this by providing a production-ready platform that ...

While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle with long and complex tasks because they lack the ability to plan ...

I'm trying to use playwright mcp to test some web app things and it's giving some stunning amount of data back for simple tasks. For example: playwright - Wait for (MCP)(time: 3) ⎿ ⚠ Large MCP ...

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