An engineer details the architecture of production-ready Agentic AI systems, explaining that autonomous agents require a brain (LLM), tools, memory, and a goal to function reliably. The post covers th…
SafeAI, an open-source static analysis tool for AI agent source code, scans for security risks, capability exposure, and governance gaps without executing agents or calling LLMs, integrating into CI/C…
Dex, an AI engineer, introduces the 12 Factor Agents methodology, a set of principles for building reliable, scalable, and maintainable LLM-powered software. The framework, inspired by 12 Factor Apps,…
A developer built Ledgermind, a system that gives AI agents verifiable credit histories based on independently graded work rather than self-reported success. The platform uses acceptance-test jobs and…
A developer building an agentic AI system with LangGraph and MCP encountered a memory issue where the support bot fails to remember user context from previous turns. The ReAct loop in LangGraph's Stat…
A developer argues that bugs in agentic pipelines are rarely caused by prompts, instead pointing to chunk boundary truncation, tool output drift, and eval dataset blindspots. The developer recommends …
Matt McCormick is building a system using LangGraph to automate the entire software development lifecycle (SDLC) with AI agents, aiming to turn an idea into a working app with minimal human interventi…
A developer built Ebookr.ai, an ebook generator that creates a complete ebook in 15 minutes using a multi-agent pipeline with six specialized agents. The project uses Django, Celery, LangChain, and Pl…
MongoDB released a tutorial and demo for building an agentic event venue operator using MongoDB Atlas, Voyage AI embeddings, and LangGraph, featuring a fictional tennis tournament scenario where the a…
Version 1.25.5 of LIA, a self-hosted multi-agent AI assistant built with FastAPI and LangGraph, introduces a disciplined agentic telephony system with mandate boundaries, human-in-the-loop approval, a…
Multi-agent coordination is failing in production due to lack of shared context, durable state, and cross-runtime visibility, according to a developer. Industry data shows 57% of organizations already…
Researchers introduced RegNetAgents, a multi-agent AI framework for identifying regulatory driver candidates across heterogeneous gene regulatory networks in cancer genomics. The system integrates TCG…
AI agent infrastructure is splitting at the state layer, where durable records of agent work become the dividing line between a product and a parlor trick. Focused Labs argues that state turns agent b…
A developer analysis of 1,000 job postings reveals that becoming a Forward Deployed Engineer in 2026 requires production AI fluency, a portfolio proving agent deployment, and passing an interview loop…
A developer explains that multi-agent orchestration becomes necessary when a task naturally decomposes into sub-tasks requiring different context, tools, or roles. The post covers production patterns …
A developer is seeking advice on building an AI assistant that becomes a real expert on a complex software platform, with the constraint that it must run locally on modest hardware without a GPU, usin…
A production-grade template for multi-agent LangGraph systems has been released on GitHub by developer brescou. The template includes a hardened FastAPI API, domain packs, Helm and Terraform stubs, CI…
LoopGain, an open-source cost controller for AI agent loops, replaces fixed max_iterations with a control-theoretic stop-and-rollback policy, achieving 92.8% less API spend and ~15× faster median wall…
Focused Labs highlights the Progressive Crystallization paper, which describes a lifecycle for agentic workflows where repeated tasks transition from agent-orchestrated to deterministic execution, red…
A developer built ImmuneMesh, a LangGraph middleware prototype that gives multi-agent AI systems a shared memory to detect and block self-replicating prompt attacks. Testing revealed false-positive ra…