OWASP's Agentic Security Initiative Top 10 (ASI01-ASI10) provides a threat taxonomy for AI agents that use tools, memory, and multi-agent communication, distinct from the LLM Top 10. Testing 30 advers…
A developer argues that building an AI agent from scratch with vanilla Python and the OpenAI SDK is simpler and more transparent than using bloated frameworks like AutoGen, LangChain, or CrewAI. The p…
A developer built an automated extraction and chunking pipeline that converts any documentation site into clean, structured markdown ready for vector stores. The pipeline, available as the RAG Docs Ex…
An AI/ML student built StudyMate AI, a RAG-based PDF question answering system that uses local embeddings and in-memory vector storage. The project overcame initial retrieval failures by adding pre-ge…
A team at an unnamed company built a customer support agent on LangChain that hallucinated a wrong return policy in a multi-step process, logging success while being confidently wrong. This incident h…
LangGraph, an orchestration framework from the LangChain team, enables developers to build stateful, controllable AI workflows by modeling them as graphs with nodes, edges, and shared state. The frame…
A developer explains that RAG pipeline chunking strategies determine retrieval quality more than the embedding model or vector store, with most recall failures tracing back to how documents were split…
A new guide maps five distinct RAG architectures for production systems, from naive RAG to advanced layered designs, explaining when to use each to avoid confident wrong answers at scale. The article …
Vercel's AI SDK Harness now supports Deep Agents and OpenCode, allowing developers to run multiple coding-agent runtimes through a unified interface without changing application code. The new adapters…
A developer provides a decision tree and code examples to distinguish between RAG (Retrieval-Augmented Generation) and agentic AI architectures. RAG is recommended for answering questions from documen…
A guide recommends tools like LangChain, Guardrails AI, and OpenAI Moderation API to add safety guards and optimization feedback to AI systems. It also suggests building alert systems, logging activit…
Developers are increasingly using large language models to encode business logic in Markdown prompts, a practice dubbed 'programming in Markdown,' despite the availability of simpler, faster, and more…
A developer built a deterministic outbound firewall for AI agents after witnessing a LangChain-style agent generate a DROP TABLE command during a cleanup task. The firewall, released as the agentx-sec…
Lelu, an authorization engine for AI agents, detects prompt injection and low-confidence decisions to gate agent actions, offering four outcomes: allow, human review, compute (sandbox), or deny. The o…
Haystack, an open-source AI orchestration framework by deepset, uses explicit directed acyclic graphs (DAGs) instead of implicit chains to build production-ready RAG systems. Its modular, serializable…
A developer compiled a list of the 12 best frameworks for building AI agents in 2026, including LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Semantic Kernel, PydanticAI, LlamaIndex, and H…
Vstorm released an open-source CLI tool that generates production-ready full-stack applications for AI agents, combining FastAPI, Next.js 15, and Pydantic AI or LangChain. The template includes WebSoc…
Focused Labs warns that MCP security begins after tool approval, as server tools can silently change from read-only to destructive operations. The runtime security problem arises because agents act on…
Focused Labs analyzes agent handoffs in multi-agent systems, highlighting that handoffs are runtime state changes rather than routing diagrams. The article contrasts orchestration patterns from OpenAI…
Alibaba DAMO Academy released AgentScope 2.0, an open-source production-ready agent framework designed to leverage LLM reasoning without rigid pipeline constraints. The framework adds event systems, p…