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Finally redesigned my personal site and went with a warmer, more personal aesthetic I turned the entire CSS spec and Apple’s Human Interface Guidelines into hundreds of Agent Skills, fed it to Claude Opus 4.5 + my direction and it implemented the redesign for me

135,017 次观看 • 6 个月前 •via X (Twitter)

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Karpathy's Agentic Engineering finally has proper tooling! (built by Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.

Akshay 🚀

257,831 次观看 • 1 个月前

Today, I am 30 and saying goodbye to my twenties. As I celebrate this milestone, I want to take a moment to reflect on the incredible journey I've experienced during my twenties. The past decade was a period of profound growth, self-discovery, and transformative experiences that shaped me into who I am today. My twenties were filled with many highs and some lows, but through it all, I was resilient and persistent. I faced challenges head-on and learned important lessons along the way that shaped my perspective and enlightened my understanding of life. One of the most significant aspects of my twenties was the journey of taking back my own happiness and self-discovery. I uncovered my passions, strengths, and true purpose. This journey allowed me to embrace my authentic self and my dreams. I learned to respect myself, my time, and my energy more. I realized the importance of setting healthy boundaries, prioritizing self-care, and surrounding myself with positive individuals in my life. By honoring my needs and valuing my well-being, I have created a solid foundation for personal growth and fulfillment. Part of the process involved removing negative energy and people from my life. I recognized those who didn't genuinely want the best for me. Letting go of toxic relationships allowed me to create the space I wanted for positivity, growth, and healthier connections. Another pivotal moment during my twenties was a career change. Recognizing my desire for alignment between my passion and my profession, I bravely pursued a new path. It was not easy—that decision required courage, determination, and betting on myself. I started small before reaching greater heights, and I embraced that challenge. Eventually, it led me to a career that brings me immense fulfillment and joy. My willingness to embrace change and take calculated risks has set me on a path of not only continued success but also my own goals and personal satisfaction. Amidst all of the experiences, the most precious gifts of my twenties were the arrival of my two beautiful boys. Parenthood has brought immeasurable joy, love, and purpose into my life. Through the joys and challenges of raising children, I have grown in compassion, patience, and the ability to nurture and care for others. My boys are a constant reminder of the love and happiness that fill my world every day. As I celebrate my 30th birthday, I want to express gratitude to my wife, my two sons, the incredible family I have, and the friends who have been there for me throughout my journey. They have witnessed everything. Through it all, their love, support, and shared memories have brought immense richness and depth to my life, reminding me of the power of real connection and the importance of cherishing these relationships I hold so close to my heart. As the next decade begins for me, I will embrace the wisdom and experiences I gained during my twenties. I will trust in my abilities and continue to pursue my dreams with passion and resilience. My thirties hold the promise of further personal growth, new adventures, and the opportunity to create lasting memories with my loved ones. Thank you all for everything! With so much love and gratitude, Geomar Milian

Geo Milian

15,654 次观看 • 3 年前

After a few more hours, I think I've figured out Opus 5. Opus 5 is trained to be more agentic than anything I've used. All Claude 5 models are like that. So what changes? The way to interact with Opus 5 or contextualize it won't work the same way as with other models. It loves exploring, so it doesn't need much guidance for it. Unique preferences, artifacts, and references compliment it well and enable cleaner and more effective exploration and execution. Now that it can explore more effectively on its own and understand intent better, the best thing to do is to get out of its way (e.g., it doesn't need examples of your preferences; a clear high-level description of it works best). It's truly agentic in that sense. A good first step to provide better context for Opus 5 is to distinguish between what's situational and what needs persistence. Regardless, persistent system prompts and CLAUDE.MD needs to stay lightweight. Remove memories and tool descriptions from these. CLAUDE.MD is also a great place to tap into progressive disclosure by linking command/skills to it. On the situational side, agent skills and auto-memory can leverage progressive disclosure and the improved ability of the model to use its external context/knowledge. Conflicting and unnecessary instructions, which are common at this layer (mainly to ensure reliability), are going to throw off this model easily. That's the biggest change I had to make. Simple, clean, and clear prompts and skills work best. I had to clean a lot of my skills and system prompts. The way I prompt remains the same (usually clear and well-scoped). MCP tool descriptions are also more descriptive and have been deduped from the system prompt. Anthropic released a guide on the new rules for context engineering, which was helpful here. I started to test the recommendations and created a little artifact with the things that worked along the way. This might feel like a lot of work. Believe me, it has been frustrating. But I think we can expect future frontier models to become more agentic and smarter at figuring out the right context/gaps. The best thing to do is to prepare for that now. Boris Cherny mentioned that Opus 5 is their least prompt-injectable model yet. I am not sure if that was something they intentionally trained for or if it emerged based on how it was trained, which is to be extremely agentic in nature and more direct in execution.

elvis

37,685 次观看 • 25 天前