UiPath today announced several updates across its portfolio at its user conference, UiPath FUSION, in Las Vegas. “Available today, this combination of pre-built solutions, new capabilities for orchestrations, and supporting tools for building and testing agents and automations creates an ecosystem that enables organizations to deploy rapid agentic automation,” the company wrote in an announcement. … continue reading
Anthropic has announced the release of Claude Sonnet 4.5, which it claims is the “best coding model in the world” and the “strongest model for building complex agents.” It achieves a 77.2% on the SWE-bench for software engineering, compared to 74.5% for Claude Opus 4.1 and 72.7% for Claude Sonnet 4. For external comparison, GPT-5 … continue reading
Google adds Data Commons MCP Server, new versions of Gemini 2.5 Flash and Flash-Lite The Data Commons MCP Server allows AI developers to easily access all of Data Commons’ publicly available datasets. It can be accessed via the Gemini CLI or in Google Colab, and Google has a sample agent in Colab as well to … continue reading
Microsoft has restructured its Marketplace to serve as a central place for organizations to find cloud solutions, AI apps, and agents. This new reimagining brings together Azure Marketplace and Microsoft AppSource to simplify cloud and AI management, Microsoft explained. It includes tens of thousands of cloud and industry solutions that can help with everything from … continue reading
CData has announced the launch of a new managed Model Context Protocol (MCP) platform bringing together AI assistants, agent orchestration, workflow automation, and embedded AI applications—combined with access to over 300 enterprise data sources. According to the company, Connect AI preserves data semantics and relationships in enterprise data to give AI agents better context while … continue reading
OpenAI updates Codex The company released GPT-5-Codex, a variant of GPT-5 that is optimized for Codex, OpenAI’s AI coding agent. It was trained on real-world engineering tasks like building projects from scratch, adding features and tests, debugging, large-scale refactoring, and code reviews. “With these updates, Codex moves closer to what we’ve been building toward all … continue reading
Engineering leadership and executives are out of touch when it comes to software testing and how AI can be applied to the process, according to Sauce Labs’ 2025 Software Testing Vibe Check: Agentic Edition report. 61% of survey respondents—who consisted of 400 testing executives and engineering leaders surveyed in June 2024—said that their top leadership … continue reading
Progress has announced that it is bringing its AI coding assistants to the Telerik and Kendo UI libraries. Previously, the company had added AI assistants to Progress Telerik UI for Blazor and Progress KendoReact. According to the company, with today’s release, it now offers AI coding assistance across all major UI component libraries, including ASP.NET … continue reading
GitHub has launched an MCP Registry to provide developers with a curated directory of MCP servers. “If you’ve tried connecting AI agents to your development tools, you know the pain: MCP servers scattered across numerous registries, random repos, buried in community threads — making discovery slow and full of friction without a central place to … continue reading
While the industry is racing to develop and implement artificial intelligence into its systems, cultural resistance, a skills gap, and the speed with which AI is changing are just a few of the factors why many AI projects fail. Because of that, most attempts at adopting AI into organizations never make it past the pilot … continue reading
Mistral announces new connectors, Memories Mistral announced that its generative AI chat Le Chat now connects with over 20 new connectors, including tools like Asana, Atlassian, Box, Databricks, GitHub, Outlook, Snowflake, Stripe, and Zapier. Users will also now be able to add their own connectors via MCP. The company also announced a beta for Memories, … continue reading
Most reports comparing AI models are based on benchmarks of performance, but a recent research report from Sonar takes a different approach: grouping different models by their coding personalities and looking at the downsides of each when it comes to code quality. The researchers studied five different LLMs using the SonarQube Enterprise static analysis engine … continue reading
