@mesbahlab · X

@nrqa__ · X

the AI agent resource list I wish existed a year ago 1). for learning the fundamentals (videos) ↳ llm introduction - the crash course that actually explains how these models work before you touch a line of code ↳ llms from scratch - build one yourself so the black box stops feeling like magic ↳ agentic ai overview (stanford) - a proper academic breakdown of what makes an "agent" different from a chatbot ↳ building and evaluating agents - how to actually test whether your agent is doing its job or just faking it ↳ building effective agents - practical patterns for agents that hold up outside a demo ↳ building agents with mcp - how model context protocol changes the way agents connect to tools and data ↳ building an agent from scratch - no frameworks, no shortcuts, just the raw build ↳ philo agents - a full playlist for going deeper once the basics click 2). for cloning and remixing (repos) ↳ genai agents - a growing collection of agent examples you can clone and

@postpost_ai · X

we're building - AI social media planner

@itzKashan2912 · X

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

miketromba · HN

Cronloop, run Claude Code or Codex on a schedule

@SidathRashen · X

u/Key_Researcher_5389 · Reddit

Nova — an AI day-planner that lets you just talk to it (Claude/ChatGPT) instead of clicking around I got tired of paying more every time I added a feature or a teammate to Motion, so I built my own version: Nova (usenova.live). You tell it what you need to do and it puts it on your calendar automatically. Miss something? It rolls forward to the next open slot on its own instead of just sitting there overdue. The part I'm most proud of: it plugs directly into Claude or ChatGPT, so you can sa

@devzakir · X

Schedule & Chill is a free LinkedIn scheduler your AI tools can post through. Built it because I live in Claude Code and wanted to type "post this" instead of opening a tab. MCP server built in. Live: LinkedIn, YouTube, Bluesky, Mastodon.