2,194 stories
Radar Cloud is the team layer on top of Radar OSS: fleet views, Google and GitHub sign-in on every plan, K8s-native RBAC via impersonation. Current cluster state is read live, not replicated.
Gladys becomes a true AI agent: it now reasons, chains tool calls, and acts to fulfill complex requests, with a fully redesigned chat interface.
Learn how to turn Azure Blob Storage data into an AI-ready knowledge base using Pinecone. A deployable template automates the full ingestion pipeline—parsing, chunking, embedding, and indexing—so your documents are searchable in minutes.
Most ChatOps bots are a glorified query bar. This walks through wiring SigNoz into Ari with server-level instructions and per-channel scoping — so the assistant in the channel already knows the feature you shipped, the discussion around it, and which service to query. Three steps, about ten minutes.
Turn positive mentions from Reddit, X, LinkedIn and Hacker News into a wall of love on your homepage using Octolens and MCP — includes a copy-paste prompt.
GitHub Agentic Workflows filter untrusted GitHub content before it reaches the agent. Here’s why integrity filtering matters for repository maintainers, and how we built it.
53% of MCP servers use static API keys. Learn the four governance primitives your team needs to control shadow MCP, credentials, and audit trails in production.
TablePlus vs DataGrip vs DBeaver compared on pricing, performance, AI features, and database support, with DBVisualizer as an enterprise-focused alternative in 2026.
Connect enterprise data to your AI applications with reusable connectors, direct tool calling, and human-in-the-loop approval controls.
Prompts are programs. You wouldn’t write a complex program completely from scratch, in a big, soupy loop without subroutines, and then write it again the next time you wanted to run it. Why let your agent work that way?
View all Projects: https://www.youtube.com/playlist?list=PLN6lWsI6DyWSb-LB-mZFCdsIVPuf9EMxA In this video, we build a real Agentic AI application that connects directly to AWS and manages cloud resources through natural language.
What's new in Arcjet (2026-05-22). Unified coding agent skills, expanded Python docs, email notification management.
Per-agent activity, tool-level latency, and catching the schema gap before Claude does.
Use Weaviate's built-in MCP server to give Claude Code, Cursor, and VS Code hybrid search over your codebase and docs. No glue code.
All 25 announcements from Orlando, what's actually shipping vs. what's marketing — and what it means for the document and data foundation of the autonomous enterprise.SAP's Sapphire 2026 in Orlando was the most AI-dense keynote in the company's history. Christian
Workforce managers and support leaders can use plain language to diagnose, plan, and act on live Assembled data directly from Claude, ChatGPT, or any MCP-compatible AI assistant.
The release candidate for the next Model Context Protocol (MCP) specification is now available: a stateless protocol core, the Extensions framework, Tasks, MCP Apps, authorization hardening, and a formal deprecation policy.
Today we’re releasing one of the most requested updates from the Warp community: more control over inference.
Showing 1,944 of 2,194 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
