DataRobot Blog·
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... The post DataRobot for Developers: Skills, MCP, and the agentic developer surface appeared first on DataRobot.
Read full articleThe hardest part of building against a new platform is teaching your tools about it. Your coding agent doesn’t know the SDK’s conventions. Your IDE doesn’t know the CLI commands. Your terminal doesn’t know the auth pattern. Every gap is a context switch, and every context switch is time spent away from the work. DataRobot... The post DataRobot for Developers: Skills in Cursor, Gemini, and Claude appeared first on DataRobot.
Salt Lake City-based Cimento AI has raised $3 million in pre-seed funding co-led by Bowery Capital and Indie.vc, with angel participation from figures across Cloudflare, Palo Alto, Cursor, Nvidia, and Okta. The capital will fund expanded operations and product development. Founded by Zain Rizavi, Eric Liu, and Paul Kong, the company has built an AI-native […]
AI tools are reshaping software development, enabling smaller teams to achieve more, but require careful integration to maximize benefits. The post OpenAI, Anthropic, and Cursor are rewriting the rules of software scaling appeared first on Crypto Briefing.
Quantitative models in drug discovery, materials discovery, science and other sectors will now have much wider distribution via Claude PALO ALTO, Calif., May 18, 2026 — SandboxAQ today announced the […] The post SandboxAQ Integrates Its Quantitative AI Models with Anthropic’s Claude via MCP appeared first on AIwire.
The race to production-ready agentic AI is on — but for most enterprises, the finish line keeps moving. Models get built, pilots get run, and then teams hit a wall: the infrastructure, security, governance, and operational requirements for running AI agents at enterprise scale are far more complex than any single tool or vendor anticipated.... The post Building the enterprise agentic AI factory with DataRobot and Dell appeared first on DataRobot.
The post Gemini’s agentic trading lets AI models, not humans, drive CEX order flow appeared on BitcoinEthereumNews.com. Gemini’s “agentic trading” lets AI models like ChatGPT and Claude plug into user accounts via MCP, executing crypto trades autonomously and turning AI from signal vendor into primary CEX client. Summary Gemini has wired its full trading API into Anthropic’s Model Context Protocol, so compatible AI agents can pull market data, query order books, place orders and manage positions directly from user‑linked accounts. Users set budgets, strategies and caps, while modular “Trading Skills” give agents DCA, grid, multi‑leg and risk tools, making a growing slice of Gemini’s resting and market orders originate from opaque, black‑box models. Unlike TON’s non‑custodial “Agentic Wallets,” which push autonomy to Telegram edge wallets, Gemini centralizes agentic activity inside a regulated CEX perimeter, recasting AI as a client type that humans merely configure. Gemini has rolled o
Gemini’s “agentic trading” lets AI models like ChatGPT and Claude plug into user accounts via MCP, executing crypto trades autonomously and turning AI from signal vendor into primary CEX client. Gemini has rolled out “agentic trading,” a feature that lets…
AI-driven DEX management democratizes trading infrastructure, potentially increasing risk exposure due to inexperienced operators launching exchanges. The post Orderly Network deploys MCP for AI-driven perp DEX management appeared first on Crypto Briefing.
