I found a better way to create Claude Skills. Claude recently launched “Skills”, which you can generate directly inside Claude Web, great for simple setups. But I wanted more control and speed. So I switched to @cursor_ai, and honestly, it’s way better. Here’s how I do it: 1.

I found a better way to create Claude Skills. Claude recently launched “Skills”, which you can generate directly inside Claude Web, great for simple setups. But I wanted more control and speed. So I switched to @cursor_ai, and honestly, it’s way better. Here’s how I do it: 1.

Flex add-on is here for the Core Plan 💪 - $3K payout requests. - $0 activation fees. - Same Core Plan price ($77) --just with bigger potential. It's easy to add Flex at checkout!

We’ve built a Smart GTM Agent! Your AI-powered growth co-pilot that generates company research, competitor insights, GTM playbooks, and distribution strategies - all in minutes, not weeks. Features: → auto-generated profiles, competitor analysis & funding insights → target

How do you actually manage context for AI agents? Prompt engineering was one thing. Context engineering is the next big step. But here’s the hard part: it’s not just about dumping more data into the model. The real challenge is figuring out what context actually matters… and

DevRel is Back! A Great read by @swyx

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ML’s biggest problem? Reproducibility. Run the same notebook twice, get two different results. @withneo fixes that, tracking memory, automating context, and self-documenting every step. No reruns. No config chaos. Just evolving, reproducible workflows. NEO is powered by 11

The future of AI memory may not be new. It may be old tech used in a smarter way: databases.

The MCP finally has proper authentication! It now supports OAuth 2.1 out of the box. That means proper authentication for AI agents and MCP tools is finally standardized. No more hacked-together API keys or custom token logic. With OAuth 2.1 + MCP, you can now: - Dynamically

Your Coding Tools will keep changing Mental models, and problem-solving skills won’t. Learn how to think, not where to click.

Recorded a Video after a While! Will be posting it next week!

You built your Agent with ADK… but how do you get it live? 🤔 Here are 4 ways to deploy it ⬇️ 1️⃣ Agent Engine (Vertex AI) → easiest, fully managed, auto-scales 2️⃣ Cloud Run → run as serverless containers 3️⃣ GKE → more control, perfect for open models 4️⃣ Docker/Podman →

HuggingChat v2 just nailed model routing. I tried building a small project with the new HuggingChat Omni, and it automatically picked the best models for each task. First, I asked it to generate a Flappy Bird game in HTML, it instantly routed to

Build AI Agents the Simple Way! mcp-agent is a lightweight framework to build production-ready agents with MCPs. - Manages MCP server connections for you - Implements composable agent patterns - Supports model-agnostic multi-agent orchestration 100% Open Source 🌟

Recorded a Video after a While! Will be posting it next week!

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I handed @withneo a Whisper model + clinical speech dataset. It automatically: → Cleaned & normalized audio → Generated training & evaluation pipelines → Tracked WER improvements → Suggested fine-tuning tweaks Output? A Whisper model with improved WER for clinical

10x better than GPTs for reusable workflows. @claudeai Skills are modular, task-specific agents you can load into Claude Code, the web app, or even the API. They’re like mini playbooks, built once, reused everywhere. Each Skill is just a folder with: •

MCP updated their protocol in March 2025 specifically mandating OAuth as the mechanism to access remote MCP servers. Now every remote MCP server needs a proper authorization layer If you're building a remote MCP server, you can’t just rely on API keys anymore. You’ll need a

Notebooks got us here, but they won’t get us to scalable AI. 74% of ML teams still rely on Jupyter. Yet over 60% hit scaling pain: broken deps, messy reruns, and zero reproducibility when moving to prod. Agentic AI changes that. Instead of static code, you get autonomous