A new LangGraph course lesson, "Banking Skill Pack," teaches how to build two Validator skills for banking compliance — banking-transaction-flag-review and banking-kyc-document-check — that flag trans…
The page for 'Multi-Agent Skill Systems' was not found, redirecting users to tutorials or the homepage. The site offers skill packs for cost review, IAM least-privilege checks, safe resource changes v…
ToolJet released ActionRail, an open-source runtime value and action grounding framework for AI agents, now in public beta with a planned v1 for August 2026. ActionRail intercepts agent tool calls and…
Managing AI agents has become the most valuable engineering skill, with the average enterprise now running 12 AI agents, expected to reach 20 by 2027, according to a Salesforce report cited by beam.ai…
A context-assembly pipeline that turns raw issue tickets into verified briefs outperforms autonomous coding agents on real-world support queues, according to a design pattern published on dev.to this …
A developer built an AI-driven pipeline that uses retrieval-augmented generation (RAG) with LangGraph and Chroma to automatically enrich raw GitHub issues with context from 1500+ existing issues, comm…
A technical guide outlines how to build a scalable AI agent workflow for automated lead research, using frameworks like LangGraph or CrewAI to create a multi-step pipeline that searches the web, synth…
Ed Zitron warns that the AI bubble is driven by massive investment in GPU clusters and data centers not offset by scalable software products, with most AI features being thin API wrappers that fail to…
Meta is transitioning its AI from a chatbot to an agent capable of triggering external API calls and maintaining a feedback loop for steerable research, according to a technical analysis. The shift, e…
A developer built an autonomous AI health agent using AutoGen, LangGraph, and Node-RED that monitors HealthKit data and proactively adjusts meal plans. The system deploys three agents—a Health Monitor…
Aniruddha Adak, a self-taught AI agent engineer and computer science student at Budge Budge Institute of Technology in Kolkata, builds autonomous software agents and full-stack products. His work span…
Monday.com is restructuring its workforce to shift from seat-based pricing to an AI-agent-driven model, according to an analysis of the company's pivot. The company is likely replacing human roles suc…
Laserbrain launches an adaptive recursion harness that provides a fixed reference for AI agents to check against each step, preventing drift and loops. The system uses four drift signals and a single …
SpaceAI360 engineers eliminated infinite loops in multi-agent AI systems by enforcing deterministic state machines, structured schema rejection, and account-level circuit breakers. The team found that…
A developer's journey building a two-agent LangGraph pipeline reveals that data transfer between agents can happen either through the model (re-typing via ToolMessage) or through a typed blackboard st…
A new production-ready agentic fraud detection system uses three cooperating AI agents to score transactions from independent signals, orchestrated by a LangGraph workflow with a human-in-the-loop pau…
Software engineer AbdulRahman Elzahaby built OpenAgentFlow, an open-source specification language that decouples multi-agent workflow design from execution frameworks. The tool allows developers to de…
Developers in 2026 should prioritize AI orchestration, RAG, and model selection over traditional coding syntax, according to a workflow-focused analysis. While Python and TypeScript remain essential, …
CopilotKit has released Angular support, an open-source client that brings any AG-UI agent into Angular apps with pre-built chat components, generative UI, shared state, and human-in-the-loop features…
A developer proposes an agentic validation and inspection layer built with LangGraph, MCP, and A2A to complement traditional CI/CD pipelines. The architecture combines deterministic tools like SQL lin…