AI Resources

Three ways in

	Read it The newest digests on blogs.drix10.com, with search, topic pages and an RSS feed. Or open any category below and read its latest digest here on GitHub. ⭐ Star and watch the repo to get new digests as they land.
	Ask it from your agent Claude, Cursor, VS Code or Windsurf answer "what did Anthropic ship this week?" from the briefings, with dates and source links. No key, no account. Setup for every client ↓ claude mcp add ai-resources -- npx -y ai-resources-mcp
	Clone it 100,000+ dated, sourced briefings in plain Markdown for RAG, evals or an offline index. Every resources-NNN.md holds 5 to 12 of them, like this one. git clone --depth 1 https://github.com/Drix10/ai-resources

What a briefing looks like

_{A real briefing from AI Developer Tools #296. Every digest file holds 5 to 12 of these.}

Who it is for

• Engineers building with AI. What changed in models, inference, agents, MCP and dev tools, with the benchmark number and the link, in AI Developer Tools and Tech Infrastructure.
• Founders and investors. Rounds, launches and revenue figures as they are announced, in AI Companies and Ventures, VC Firms and Founders and Entrepreneurs.
• Researchers and students. What the people in the field are publishing and arguing about, in CS Academics and Neuroscience and AI.
• Anyone building RAG, agents or evals. A 100,000-item corpus of dated, sourced AI news under CC BY 4.0.

Awesome lists are still the better pick for a vetted shortlist, and a newsletter for five editor-picked minutes a day. COMPARISONS.md lays out where this fits.

Use it from your AI agent

Five ways to plug the briefings into an agent or your own code. None needs a key or an account. Full reference: USE-WITH-AI.md.

MCP server

Published on npm as ai-resources-mcp (MIT, code in mcp/). npx fetches it on first run, so there is nothing to install by hand.

Every result ends with its source link and Data: github.com/Drix10/ai-resources (CC BY 4.0), so answers stay citable.

Claude Code

claude mcp add ai-resources -- npx -y ai-resources-mcp

{
  "mcpServers": {
    "ai-resources": { "command": "npx", "args": ["-y", "ai-resources-mcp"] }
  }
}

{
  "servers": {
    "ai-resources": { "type": "stdio", "command": "npx", "args": ["-y", "ai-resources-mcp"] }
  }
}

code --add-mcp "{\"name\":\"ai-resources\",\"command\":\"npx\",\"args\":[\"-y\",\"ai-resources-mcp\"]}"

Then ask, for example:

• "What did Anthropic announce this week? Cite the sources."
• "Latest five briefings in AI Developer Tools."
• "Who raised a Series A in AI this month, and how much?"

Agent Skill

skills/ai-news teaches an agent when and how to answer "what's new in AI", "latest on <model or company>" and "who raised" questions from the briefings, with dates and citations. It uses the MCP tools when they are installed and falls back to the JSON API, then llms.txt, then raw Markdown on GitHub when they are not.

git clone --depth 1 https://github.com/Drix10/ai-resources
mkdir -p ~/.claude/skills
cp -r ai-resources/skills/ai-news ~/.claude/skills/

JSON API