Today marks the launch of Claude 3.7 Sonnet, Anthropic’s most advanced model yet, featuring hybrid reasoning capabilities. It offers quick responses and complex, step-by-step thinking, accessible to users through its API. Enhanced for coding and front-end development, it introduces Claude Code, a new tool that allows developers to manage coding tasks directly from their terminal. ...
Notebook Intelligence (NBI) is an innovative AI coding assistant designed for JupyterLab users, allowing them to enhance coding productivity with features like GitHub Copilot integration. This open-source tool enables users to leverage AI agents that can perform tasks such as looking up geo-coordinates, displaying maps, creating Jupyter notebooks, and sharing them publicly. NBI facilitates seamless ...
In today’s tech landscape, open-source code greatly influences software development, allowing developers to save time by leveraging existing resources. However, this openness has led to a rise in cyber threats, particularly seen in the GitVenom campaign. This malicious initiative involves the creation of fake GitHub repositories that appear legitimate but contain harmful code. Attackers craft ...
At IBM Research, our team focuses on developing disruptive AI technologies, specifically empowering diverse users to leverage AI agents for their unique tasks. Over the past year, we’ve observed that while large language models can tackle complex problems, many users struggle to harness their full potential without technical expertise. This spurred us to create an ...
In recent years, corporations leveraging artificial intelligence (AI) have started focusing on agents and agentic workflows, driving automation in tasks. Thanks to various frameworks, developers can create sophisticated AI systems without needing to grasp every detail of construction. This article explores the evolution of these AI agents, highlighting simpler architectures, like the ReAct model, which ...
In recent years, many large companies have been focusing on artificial intelligence (AI) that utilizes agents and agentic workflows. These systems automate tasks efficiently without needing a deep understanding of their inner workings, similar to how design patterns guide software development. Using frameworks like LangGraph, developers can easily create advanced AI agents capable of reasoning ...
At a recent AI Tools Night meetup, Solomon Hykes, the creator of Docker, discussed the need to standardize the development of AI agents by drawing inspiration from the container ecosystem. He introduced Dagger, an open-source engine runtime, as a solution aimed at creating a reusable software ecosystem for AI agents. Hykes demonstrated how Dagger simplifies ...
Researchers from the University of Waterloo, University of Hong Kong, Salesforce Research, and Carnegie Mellon University have developed Computer Agent Arena, a groundbreaking platform designed to enhance AI computer agents. This platform allows users to evaluate and compare AI’s ability to perform complex computer tasks across multiple applications. Unlike existing tools, Computer Agent Arena offers ...
Explore the fascinating world of AI agents in this insightful blog series. Starting with an introduction to what AI agents are, the latest post guides you through building your own agent from scratch using Python. This agent will intelligently respond to user input, choose the right tools, and perform tasks effectively. The series looks at ...
Amazon Web Services (AWS) has launched innovative AI agents for Amazon Q Developer to enhance software development processes. These agents—/doc, /test, and /review—automate essential tasks such as documentation creation, unit testing, and code reviews, streamlining workflows and improving productivity. By analyzing the existing code, the /doc agent generates thorough documentation, while the /test agent automates ...
