Follow AI Builders — Not Influencers
no one's mentioned pie punks yet pie punks is extremely underrated
we spent a lot of time figuring out how to context engineer claude code with mcp tools and skills this comparison diagram should help you understand the tradeoffs between the two 👇
Are you choosing between MCP servers and skills for your agent? @tuanacelik and I wrote a blog post about the differences between the two and their PROs and CONs, informed by the lessons learnt while building our own coding agent (LlamaAgents Builder). The main takeaway? Skills
RT Clelia Bertelli (🦙/acc) Are you choosing between MCP servers and skills for your agent? @tuanacelik and I wrote a blog post about the differences between the two and their PROs and CONs, informed by the lessons learnt while building our own coding agent (LlamaAgents Builder). The main takeaway? Skills are easier to set up but tougher to keep up-to-date, whereas MCPs are more dev-facing, but offer a more deterministic toolset with less maintenance overhead. Check out the article 👉 https://www.llamaindex.ai/blog/skills-vs-mcp-tools-for-agents-when-to-use-what Original tweet: https://x.com/itsclelia/status/2018821269752611102
anyone that believes openai has given up on fundamental research and is simply productmaxxing has not internalized this chart my sweet summer child; Sora was like a 5 person side project. Deep research. Even initially Codex was 2 side projects (scaled up now ofc). we always always only see the tip of the iceberg.
How does OpenAI balance long-term research bets with product-forward research fundamentals? I’ve been getting this question a lot lately, usually framed as a suggestion that Jakub (@merettm) and I are pushing an increasingly product-focused agenda. That characterization is
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