Common themes emerged from among the 114 talks at the conference, including: “MCP Is Not Dead”: Late last year, social media debated whether MCP is dead because applications can use a command line interface (CLI) instead of MCP to interact with agents. Every speaker addressed this meme directly, and the Maintainers Roundtable noted that both … continue reading
Everything connected to the generative AI world moves fast, including AI agents. Take, for example, the Model Context Protocol (MCP) that agents use to access data and tools. The adoption rate of MCP is off the charts. But can the new Agentic AI Foundation (AAIF) move quickly enough to standardize the entire agentic AI ecosystem, … continue reading
The cloud native ecosystem is betting big on AI agents as the next productivity multiplier for engineering teams. From automated code review to incident triage, agents promise to offload toil and accelerate delivery. But as organizations move past proof-of-concept demos and into production rollouts, a pattern is emerging: giving an agent access to tools is … continue reading
SOUTH JORDAN, Utah – Lucid Software, the leader in AI-driven work acceleration, today announced new AI-enhanced collaboration features that speed up how teams create complex diagrams and documentation. With advancements to its Model Context Protocol (MCP) server, enhancements to Lucid AI, and the introduction of its Process Agent, Lucid is helping organizations scale their AI … continue reading
The Model Context Protocol (MCP) was created to enable AI agents to connect to data and systems, and while there are a number of benefits to having a standard interface for connectivity, there are still issues to work out regarding privacy and security. Already there have been a number of incidents caused by MCP, such … continue reading
The rise of AI-infused applications, particularly those leveraging Large Language Models (LLMs), has introduced a major challenge to traditional software testing: non-determinism. Unlike conventional applications that produce fixed, predictable outputs, AI-based systems can generate varied, yet equally correct, responses for the same input. This unpredictability makes ensuring test reliability and stability a daunting task. A … continue reading
The Linux Foundation today announced that it is forming the Agentic AI Foundation (AAIF) to promote transparent and collaborative evolution of agentic AI. Three major projects have been donated to the foundation at launch: Anthropic’s Model Context Protocol (MCP), Block’s goose, and OpenAI’s AGENTS.md. Additionally, AAIF member Obot.ai will donate its MCP Dev Summit events … continue reading
Parasoft has announced that the latest releases of its test automation solutions C/C++test and C/C++test CT are now available. First previewed at embedded world North America last month, the updates include agentic AI workflows, static analysis for CUDA C/C++, and improved support for GoogleTest. Parasoft’s MCP server allows AI agents to be connected to C/C++test … continue reading
It has been one year since Anthropic first open sourced Model Context Protocol (MCP), and to celebrate this anniversary a new version of the specification is being released. “It’s hard to imagine that a little open-source experiment, a protocol to provide context to models, became the de-facto standard for this very scenario in less than … continue reading
Vibe coding has taken off in the past year, and it’s not just a way for developers to play around with side projects. Just as low-code had in the past, vibe coding is another evolution of the movement to bring the power of software development to people without a coding background. In the latest episode … continue reading
Kong today unveiled the latest release of its open source platform for designing, mocking, debugging, and testing APIs. Insomnia 12 adds new features to enable developers to more rapidly build and test APIs and MCP servers. According to Kong, developers who are building MCP servers are facing similar challenges to what API developers faced years … 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
