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Antigravity CLI autocompleting the DataRobot skills slash commands

DataRobot for Developers — integrating with the Google Antigravity CLI

ai, AI (Artificial Intelligence), AI Agent Development, Artificial Intelligence, Gemini, mcp, skills

Antigravity CLI is the newest agentic coding CLI from Google, replacing the now-deprecated Gemini CLI. It inherits the asynchronous subagent model that makes Antigravity stand out from the field, syncs bidirectionally with Antigravity Desktop, and is optimized for speed on Gemini 3.5 Flash. DataRobot ships a full plugin for Antigravity CLI directly from the same […]

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Coinbase for Agents: Automating portfolio trading with AI

agents, ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, coinbase, Features, Finance, Finance AI, Fintech, Inside AI, mcp, payments, portfolio, Retail, Retail & Logistics AI, trading, x402

Coinbase for Agents connects AI to financial execution channels to automate trading and payments directly from user portfolios. Large language models process vast quantities of data but lack direct integration with active financial portfolios. Individuals frequently employ these models to evaluate market developments or research investment opportunities. These software tools possess the capacity for complex

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Four developer workflows using DataRobot Skills, MCP, templates, agent assist, and LLM Gateway.

DataRobot for Developers: Skills, MCP, and the agentic developer surface

ai, AI (Artificial Intelligence), AI Agent Development, Artificial Intelligence, cursor, mcp, skills

You shouldn’t have to leave Cursor to build, deploy, or monitor a production-grade agent. You can wire together LangChain, a vector DB, a monitoring tool, and a deployment pipeline yourself, but you’ll spend more time on that plumbing than on the agent itself. DataRobot is the shortcut. It now lives where you build, integrating directly

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A guide to APIs, MCPs, and MCP Gateways

agentic ai, ai, AI (Artificial Intelligence), api, Artificial Intelligence, Governance, Regulation & Policy, mcp, MCP gateway

APIs and MCPs are often mentioned in the same breath as ways that systems can exchange information, but they are designed differently and have different purposes. This article hopes to explain the differences and how software developers and users should approach interaction with each. An API is mainly found in software applications, while an MCP

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With new plugins feature, OpenAI officially takes Codex beyond coding

ai, AI (Artificial Intelligence), Artificial Intelligence, ChatGPT, Claude Code, Codex, LLM, mcp, OpenAI, plugins, skills

OpenAI has added plugin support to its agentic coding app Codex in an apparent attempt to match similar features offered by competitors Anthropic (in Claude Code) and Google (in Gemini’s command line interface). What OpenAI calls “plugins” are actually bundles that may include skills (“prompts that describe workflows to Codex”—a standard feature in tools like

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With new plugins feature, OpenAI officially takes Codex beyond coding

ai, AI (Artificial Intelligence), Artificial Intelligence, ChatGPT, Claude Code, Codex, LLM, mcp, OpenAI, plugins, skills

OpenAI has added plugin support to its agentic coding app Codex in an apparent attempt to match similar features offered by competitors Anthropic (in Claude Code) and Google (in Gemini’s command line interface). What OpenAI calls “plugins” are actually bundles that may include skills (“prompts that describe workflows to Codex”—a standard feature in tools like

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Mozilla dev’s “Stack Overflow for agents” targets a key weakness in coding AI

agents, ai, AI (Artificial Intelligence), Artificial Intelligence, coding, developers, mcp, Mozilla, Open Source, Programming, software development

Mozilla developer Peter Wilson has taken to the Mozilla.ai blog to announce cq, which he describes as “Stack Overflow for agents.” The nascent project hints at something genuinely useful, but it will have to address security, data poisoning, and accuracy to achieve significant adoption. It’s meant to solve a couple of problems. First, coding agents

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Perplexity announces “Computer,” an AI agent that assigns work to other AI agents

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, Claude Code, Claude Cowork, LLM, mcp, model context protocol, OpenClaw, Perplexity, Perplexity Computer

Perplexity has introduced “Computer,” a new tool that allows users to assign tasks and see them carried out by a system that coordinates multiple agents running various models. The company claims that Computer, currently available to Perplexity Max subscribers, is “a system that creates and executes entire workflows” and “capable of running for hours or

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Xcode 26.3 adds support for Claude, Codex, and other agentic tools via MCP

ai, AI (Artificial Intelligence), anthropic, Apple, Artificial Intelligence, Claude Agent, Codex, IDE, mcp, model context protocol, OpenAI, Xcode

Apple has announced a new version of Xcode, the latest version of its integrated development environment (IDE) for building software for its own platforms, like the iPhone and Mac. The key feature of 26.3 is support for full-fledged agentic coding tools, like OpenAI’s Codex or Claude Agent, with a side panel interface for assigning tasks

Xcode 26.3 adds support for Claude, Codex, and other agentic tools via MCP Read More »