In its latest ‘Agentic AI Finance & the ‘Do It For Me’ Economy’ report, Citibank explores a significant paradigm shift […]
Category: agentic AI
AWS Introduces SWE-PolyBench: A New Open-Source Multilingual Benchmark for Evaluating AI Coding Agents
Recent advancements in large language models (LLMs) have enabled the development of AI-based coding agents that can generate, modify, and […]
Meet Xata Agent: An Open Source Agent for Proactive PostgreSQL Monitoring, Automated Troubleshooting, and Seamless DevOps Integration
Xata Agent is an open-source AI assistant built to serve as a site reliability engineer for PostgreSQL databases. It constantly […]
Making AI agents ‘smarter’ with connected data
The latest buzzy concept in the world of AI is now transcending its initial hype. Advances in Agentic AI are […]
Meet VoltAgent: A TypeScript AI Framework for Building and Orchestrating Scalable AI Agents
VoltAgent is an open-source TypeScript framework designed to streamline the creation of AI‑driven applications by offering modular building blocks and […]
A Coding Guide to Build an Agentic AI‑Powered Asynchronous Ticketing Assistant Using PydanticAI Agents, Pydantic v2, and SQLite Database
In this tutorial, we’ll build an end‑to‑end ticketing assistant powered by Agentic AI using the PydanticAI library. We’ll define our […]
Atla AI Introduces the Atla MCP Server: A Local Interface of Purpose-Built LLM Judges via Model Context Protocol (MCP)
Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating […]
1Password adds protection for agentic AI in the enterprise
Current AI models can perform many tasks such as generating text, but these are ‘prompted’ — that is the AI […]
Anthropic Releases a Comprehensive Guide to Building Coding Agents with Claude Code
Anthropic has released a detailed best-practice guide for using Claude Code, a command-line interface designed for agentic software development workflows. […]
Serverless MCP Brings AI-Assisted Debugging to AWS Workflows Within Modern IDEs
Serverless computing has significantly streamlined how developers build and deploy applications on cloud platforms like AWS. However, debugging and managing […]
