Learn how to write cleaner Python with enumerate, zip, generator expressions, itertools, and functional tools for readable, ...

ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

IntroductionHello. I am an engineer who transitioned to the IT industry from a background as a civil servant.When I first ...

Explore how indirect prompt injection can persist in AI agent memory and why secure ingestion, access controls, and tool-call ...

Lakeflow pipelines introduce several new Python code constructs for defining materialized views and streaming tables in pipelines. Python support for developing pipelines builds upon the basics of ...

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

Learn to build Cursor Cloud Agents step by step: create environments with the new Environments API, scale to 300 repos, and share results as canvases.

Researchers at Emory University and Sandia National Laboratories have released a curated dataset of 77,890 OpenMP-annotated C ...

A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi ...

Run claude mcp list afterward to confirm the server registered, then open a Claude Code session in the same project and ask ...

Browser extensions live inside a box.They can touch the page's DOM. They can peek at network traffic. They can have storage. But they cannot "launch an app installed on this PC." That would be a major ...

This tutorial step shows you how to use function tools that require human approval with an agent, where the agent is built on the Azure OpenAI Chat Completion service. When agents require any user ...