How to build an enterprise-grade MCP registry

Just as integration catalogs were must-haves at the peak of SaaS, Model Context Protocol (MCP) servers are now becoming all the rage for connecting AI agents and enterprise systems.  In this paradigm, developers aren’t hand-coding API calls to external systems, nor are users clicking “click to integrate” and entering credentials into GUIs. Instead, agentic systems are…

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New JetBrains platform manages AI coding agents

Seeking to help developers control growing fleets of AI coding agents, JetBrains is introducing JetBrains Central, an agentic development platform for teams to manage and maintain visibility over these agents. An early access program for JetBrains Central is set to begin in the second quarter of 2026 with a limited number of design partners participating….

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Gemini CLI introduces plan mode

Google has added a plan mode to Gemini CLI, its open-source software engineering agent that runs on the command line. With plan mode, announced March 11, Gemini CLI focuses first on analyzing a request, planning complex changes, and understanding the codebase or dependencies in a read-only mode that is safe from accidental changes or executions….

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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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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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Inception’s Mercury 2 speeds around LLM latency bottleneck

Inception has introduced Mercury 2, calling it the world’s fastest reasoning LLM. Intended for production AI, the large language model leverages parallel refinement rather than sequential decoding. Mercury 2 was announced February 24, with access requests available on Inception’s website. Developers can also try Mercury 2 using the Inception chat. Inception says Mercury 2 is…

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Claude Sonnet 4.6 improves coding skills

Anthropic has launched Claude Sonnet 4.6, an update to the company’s hybrid reasoning model that brings improvements in coding consistency and instruction following, Anthropic said. Introduced February 17, Claude Sonnet 4.6 is a full upgrade of the model’s skills across coding, computer use, long-context reasoning, agent planning, design, and knowledge work, according to Anthropic. the…

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