JetBrains launches Air and Junie CLI for AI-assisted development

JetBrains has introduced two new tools for AI-assisted software development: Air, an environment for delegating coding tasks to multiple AI agents and running them concurrently, and Junie CLI, an LLM-agnostic coding agent. Both were announced on March 9. Air, in public preview, can be downloaded from air.dev, while Junie CLI, in beta, is accessible at…

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Beyond the Hype: 5 Surprising Realities of Enterprise AI

The AI fatigue that defined the late 2023 and 2024 business cycles was, in hindsight, a necessary correction. During that period, many organizations found themselves trapped in what industry observers called “pilot purgatory.” Millions were poured into experimental generative AI pilots, comprised mostly of chatbots designed to summarize meetings or draft internal emails. While these…

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MariaDB taps GridGain to keep pace with AI-driven data demands

MariaDB, the company behind the open-source fork of MySQL, is planning to acquire in-memory computing middleware provider GridGain to bolster its platform for high-performance data and artificial intelligence (AI) workloads. The database provider is planning to infuse its relational database with the California-headquartered startup’s in-memory technology, which it says will enable its database offerings to…

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5 requirements for using MCP servers to connect AI agents

One of the most poweful collaborations between AI and tech giants, Model Context Protocol (MCP) is a standard for connecting AI agents. We need standards like MCP to orchestrate communication between AI agents, AI assistants, LLMs, and other resources. Such standards are also critical for developing more complex agentic workflows. The MCP protocol enables two…

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How developers can bring voice AI into telephony applications

In the era of support apps and chatbots, telephony continues to hold strong as the backbone of customer communication, and voice AI is entering the call center scene to further streamline customer interaction.  However, this means developers are suddenly being confronted with a whole new set of challenges, foremost among them the difficulty of bridging the…

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Neoclouds run AI cheaper and better

Enterprises are under intense pressure to deliver AI outcomes that are visible, measurable, and repeatable without blowing up their cloud budgets. That’s why neoclouds have arrived at exactly the right moment. By neoclouds, I’m referring to GPU-centric, purpose-built cloud services that focus primarily on AI training and inference rather than on the sprawling catalog of general-purpose services…

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