An engineer explains that an Agent Harness is a comprehensive application layer that securely wraps a Large Language Model (LLM) to govern its memory, tools, execution boundaries, and deterministic po…
Ctxdiff, a new open-source debugger for LLM agents' context windows, lets developers see exactly what an AI model saw turn by turn, block by block, and identify the character that broke a prompt cache…
Vasco rebuilt its AI agent Gama on four different agent frameworks in sixteen months, a process the company argues was necessary rather than a failure. The first migration from a custom solution to La…
Close to 79% of companies have adopted AI agents in some form, but only about 11% have anything running in production, according to a 2026 statistics roundup from Gartner, McKinsey, and IDC data. A ne…
A developer with a decade of enterprise Java experience found that principles from building distributed systems—timeouts, idempotency, circuit breakers, rate limiting, and audit trails—transfer direct…
Security researcher Siva Aditya Panuganti released ASL V6, an open-source AST red-teaming engine for Python AI agents that combines abstract syntax tree analysis with live Docker runtime testing to ve…
A developer built TattvaAI, an AI-powered incident investigation platform that uses six specialized agents to autonomously analyze production incidents. The system, built for the SigNoz 'Agents of Sig…
Agno claims its agent framework instantiates 529× faster than LangGraph and uses 24× less memory, based on a benchmark timing the construction of a one-tool agent 1,000 times. Independent testing conf…
A debate over whether AI agents should be built with simple loops or structured graphs has resurfaced, fueled by DeepLearning.AI's free Agentic Knowledge Graph Construction course. The course, taught …
Developer Wahib El Khadiri has released AgentOS, an open-source Rust runtime for AI agents that provides deterministic time-travel replay. The runtime journals every LLM exchange and tool result, enab…
A new analysis of LLM stack rankings for 2026 reveals a fragmented pricing gap across three distinct categories: Editor-IDE tools like Cursor Pro ($20/mo) and Codeium (Free), Consumer-Chat subscriptio…
A developer explains that an LLM agent's cycle can be modeled as a finite state machine (FSM) or hierarchical state machine (HSM), with states like thinking, acting, observing, done, and error. The po…
A developer explores multi-agent Retrieval-Augmented Generation (RAG) using LangGraph, a library for building intelligent agents. The approach combines LangGraph's agent framework with RAG to retrieve…
A senior engineering manager warns that basic PDF chatbots with LangChain and Streamlit will no longer impress hiring managers in 2026, as tech companies now demand engineers who understand system lat…
A new open-source RAG agent combines Qdrant hybrid search (dense + BM25 with RRF fusion), LangGraph ReAct routing with safety overrides, an MCP server for tool exposure, and Arize Phoenix for observab…
AI agents are transforming back-end engineering by turning passive data pipelines into active reasoning engines that interpret high-level intents and autonomously chain API calls. The shift requires t…
A developer built a multi-agent AI system that autonomously fixes GitHub issues by splitting the workflow across four specialized agents: an Architect, a Coder, a Reviewer, and a PR Agent. The system …
A developer built a fully autonomous AI system that reads a GitHub issue, understands a codebase, writes working code, runs tests, gets code reviewed by another AI, and opens a pull request—all withou…
A developer implemented the Supervisor pattern using LangGraph and MCP to fix a support bot that was failing in production due to context confusion. The pattern uses a manager agent to delegate tasks …
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…