DataRobot for Developers — integrating with the Google Antigravity CLI

Claude Code is a genuinely good agent builder. You describe what you want, it reasons through the problem, picks tools, and ships working code. For greenfield projects against well-documented libraries, the experience is close to magic. Where it gets harder is the same place every coding agent struggles: building on a specialized platform with its... The post The DataRobot platform as skills in Claude Code appeared first on DataRobot.

Cursor has changed how developers write code. The agent mode is good: you describe what you want, it reasons through the problem, picks the right tools, and ships working code. For greenfield projects and standard libraries, it works smoothly. Where it gets harder is when you’re building agents on a specialized platform with its own... The post Build with Cursor and deploy production-ready AI agents on DataRobot appeared first on DataRobot.

The third post from Build Club, our weekly live build session. The companion GitHub repo can be found here, docs here and you can try the agent live in the hosted playground. Your agent framework is not the bottleneck. The bottleneck is that every new external system your agent needs to talk to requires another... The post Build an agent that writes its own tools appeared first on DataRobot.

The second post from Build Club, our weekly live build session. A companion GitHub repo can be found here. Your inbox is not the problem. The problem is that you are the person other people are waiting on. Some of those messages need you specifically. Most of them need an answer you have already given... The post Build a digital twin agent (with guardrails) appeared first on DataRobot.

The post Google Unveils Gemini Omni and Gemini 3.5 Flash AI Models appeared on BitcoinEthereumNews.com. Alvin Lang May 29, 2026 18:16 Google debuts Gemini Omni and 3.5 Flash at I/O 2026, showcasing AI advances in video creation, agentic workflows, and coding capabilities. Google has unveiled its latest AI innovations, Gemini Omni and Gemini 3.5 Flash, during its annual I/O event on May 19, 2026. These models represent a significant leap in AI capabilities, with Omni focusing on multimodal media generation and Flash designed for complex, task-oriented workflows. Gemini Omni is positioned as a “world model” capable of synthesizing inputs like text, images, video, and audio into high-fidelity video outputs. Key features demonstrated include conversational video editing, where users give natural language prompts to modify scenes iteratively. For example, Omni can “dim the lights,” “transform objects,” or even “reimagine settings” with photorealistic precision. This makes

Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash and more.

Every LLM deployment has a ceiling, a latency curve, and a unit cost. Most teams operate blindly, discovering their deployment limits only when over-provisioning exhausts their GPU budget or peak traffic causes a catastrophic failure. Three numbers matter: maximum sustained concurrency before GPU saturation, end-to-end latency at that concurrency, and cost per million tokens at... The post Industry-standard LLM benchmarks in DataRobot appeared first on DataRobot.

Rate Limiting vs. Quota Reservations: when to use each You have a single gpt-oss-20b deployment. Six teams want to use it. Marketing is running batch summarization jobs at 3am. The fraud team needs sub-second responses 24/7. An intern’s Jupyter notebook is accidentally hammering the endpoint in a tight loop. And your GPU bill is already... The post A practical guide for platform teams managing shared AI deployments appeared first on DataRobot.