Lead AI Engineer- GTM Systems — Samsara
Samsara (NYSE: IOT) is hiring a Lead AI Engineer for GTM Systems, a remote role based in Canada with a salary of $136k–175k per year. The engineer will set the technical vision for AI-powered automati…
Samsara (NYSE: IOT) is hiring a Lead AI Engineer for GTM Systems, a remote role based in Canada with a salary of $136k–175k per year. The engineer will set the technical vision for AI-powered automati…
A developer detailed the challenges of scaling agentic workflows from single-node to distributed multi-agent systems, emphasizing the collapse of the monolithic StateGraph paradigm and the need for ri…
A 2026 guide ranks eight LLM frameworks for enterprise development, with LangChain leading in ecosystem breadth, LlamaIndex for RAG workflows, Semantic Kernel for Microsoft shops, CrewAI for multi-age…
A developer outlines the fragmented agent platform market as of August 2026, distinguishing between agent logic frameworks, managed runtimes, and control plane infrastructure. The post emphasizes that…
A developer has released a bash script that scaffolds a portable, embeddable LangGraph agent codebase. The script, named create-agent.sh, generates a generic project structure with state, config, and …
A developer detailed the Model Context Protocol (MCP) primitives—tools, resources, and prompts—after debugging a LangGraph-based flight-booking agent that failed to match user preferences due to insuf…
Embabel, a framework for building AI agents on Java and Kotlin, reached its 1.0 general-availability release, co-created by Rod Johnson, the creator of the Spring Framework. The framework uses Goal-Or…
Pydantic AI v2 is being integrated into three specific layers of two production systems—a content-generation platform and a brand-measurement platform—but not as the orchestrator, according to a build…
Enterprises are moving from single-turn chatbots to complex multi-agent orchestration meshes, where specialized autonomous agents collaborate asynchronously on multi-step workflows. To manage these no…
A developer detailed the process of building an MCP server to expose tools to AI applications, using a sentiment analysis tool as an example. The team's support bot, powered by LangGraph and MCP, init…
A developer demonstrates how to build a multi-agent health autopilot for chronic disease management using LangGraph and function calling. The system monitors Continuous Glucose Monitor data, autonomou…
LangGraph, a framework by LangChain, is the focus of a new enterprise guide detailing production-ready AI agent middleware patterns, including human-in-the-loop interrupts, LLM gateways, security midd…
KDnuggets' weekly roundup for July 27-31, 2026, features articles on building and deploying autonomous agents, with a focus on using frameworks like LangGraph for stateful checkpointing and defining c…
A new LangGraph-based pipeline generates Flutter applications from JSON Product Requirements Documents, targeting zero-error compilation through a repair loop with four subagents and a QA gate running…
A developer outlines the minimal LangChain concepts needed before learning LangGraph, focusing on LLM setup, prompt templates with LCEL, structured output via Pydantic, and tool calling. The guide dem…
GitHub's 2024 Octoverse report found developers using Copilot completed coding tasks roughly 55% faster, and by 2025 many teams reported over 40% of new code was AI-generated. Gartner estimates that b…
A developer discovered that their RAG-based document-search copilot, built on LangGraph and Bedrock, gave incorrect counts for aggregation questions because the LLM counted the surfaced results rather…
LangGraph's Supervisor pattern enables AI applications to route tasks between specialized agents using a Supervisor-Agent instead of hardcoded conditional statements, improving maintainability and rel…
MongoDB Atlas provides a persistent memory solution for Claude Code to prevent context loss during long sessions, using a plugin that stores and retrieves information across turns and sessions via a s…
A developer argues that finite state machines (FSMs) are essential for building deterministic, auditable AI agents in production, contrasting them with the non-determinism of LLM-based chains. The pos…