Build an AI-Powered Learning Management System That Actually Trains People

Meta released Astryx, an open-source React design system built on StyleX. It pairs a CSS-variable theme cascade with a CLI and MCP server, so both engineers and AI agents build using the same API. The project is in Beta, MIT-licensed, and grew inside Meta over eight years. The post Meta’s Astryx Brings a CLI and MCP Server to an Open-Source React Design System Agents Can Read appeared first on MarkTechPost.

Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.

From installing Ollama to launching OpenCode with a local model, step by step. The post Build Your Own Local AI Coding Agent with Gemma 4 and OpenCode appeared first on Towards Data Science.

This article builds a full local agentic programming stack using Ollama, Gemma 4, and Claude Code.

In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.

A single malformed character in a web request can let an unauthenticated attacker slip past the access controls that guard applications built on Starlette, the open-source Python framework that powers FastAPI, researchers said. The flaw, tracked as CVE-2026-48710 could allow attackers to bypass host-validation protections using malformed Host headers, according to an advisory from cybersecurity firm X41 D-Sec. The attacker needs no password and no action from a victim, it said. Starlette’s maintainer released a patch through an official GitHub security advisory after X41 D-Sec disclosed the vulnerability in coordination with the Open Source Technology Improvement Fund (OSTIF). They found the flaw during an unrelated source-code audit, and traced it to Starlette rather than the application under review. “This bug is a classic ‘responsibility gap’ where if this maintainer didn’t patch, thousands of exposed projects would have to individually secure their projects,” OSTIF said. The resear

Exactly how does it differ from ReAct, CodeAct, Self-Loops, and Subagents? The post Recursive Language Models: An All-in-One Deep Dive appeared first on Towards Data Science.

A practical comparison between rule-based PDF extraction using pytesseract and an LLM-based approach with Ollama and LLaMA 3, based on a realistic B2B order scenario. The post I Built the Same B2B Document Extractor Twice: Rules vs. LLM appeared first on Towards Data Science.