When working as an infrastructure or cloud engineer, it is easy for your knowledge to become centered solely on servers and ...

Why don't we try a small experiment together? Giving AI a "mind." When you hear that, it sounds like a very difficult task.

Let's learn about Best Practices via these 153 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read ...

TL;DR: Using a refund workflow in ADK, we'll cover fan-out and fan-in, deterministic and agent routers, human-in-the-loop ...

LLMs can dynamically generate error-handling strategies in real time, tailored to specific runtime contexts such as error messages and program states. Recently, the emergence of large language models ...

mssql-python is Microsoft's Python driver for SQL Server, Azure SQL Database, Azure SQL Managed Instance, and SQL database in Microsoft Fabric. It uses Direct Database Connectivity (DDBC), so you can ...

Google’s Agent Anomaly Detection monitors AI agents for suspicious behavior, policy violations, tool misuse, and operational risks.

As we speak, frontier models, elastic cloud infrastructure, vector databases, managed APIs, and large amounts of computation are available to basically any serious company. As a substrate, this is ...

Models are improving and AI agents are taking on more tasks in shared codebases, markets, and other social systems. As a result, an increase in real-world interactions between agents is imminent.

Microsoft has released a stable, customizable Agent Framework Harness for building autonomous agents with .NET and Python. The harness combines an automatic tool-calling loop with planning, persistent ...

So what separates a real loop from a chatbot on repeat? Every reliable loop has three components. Each cycle runs one experiment. The agent reads the code, proposes a change, trains five minutes, then ...