Adiós, community managers (al menos como los conocíamos). En 2026, puedes crear todo tu contenido del mes en solo 2 horas usando IA. Yo lo hago con Claude. Te comparto los 7 prompts que necesitas para hacer lo mismo:

The Vercel Al Accelerator is BACK with over $6M in credits. - $1M from AWS - $600k from Anthropic - $100k from OpenAl link to apply below 👇

Trying out Claude Code's new agent team feature. To get this view, you have to start cc in tmux. The prompt was "create a team that looks for security vulnerabilities in our app and fixes them". It created a team of four: 1. admin-hardening 2. xss-fix 3. rate-limit 4.

No duerman, si van a la pestaña de "Usage" en Claude estan regalando $50 de creditos! claude.ai/settings/usage

Claude Code Templates is almost at 20k stars on GitHub. Link: github.com/davila7/claude… Thanks to everyone contributing Agents, Skills, Hooks, settings, and MCPs. With the new Claude Code Teams feature, we may be able to open a new category 👀 I’ll think about it over the

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I reversed engineered every skill in digital marketing and then trained my AI on all of them. Here’s how I did it... Oh, and I’m giving away all 84 marketing skill files at the end of this post. This all took place over 5 days. Step 1: The Skill Tree I started by working

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Dexter hit 10,000 stars on GitHub. It’s OpenClaw and Claude Code, for finance. What Dexter can do: • find undervalued stocks • break down financials • turn research into a thesis All our code is open source.

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🚨BREAKING: Someone built an AI coworker that actually remembers everything you've discussed. It's called Rowboat and it builds a knowledge graph from your work. - Connects Gmail, Calendar, Drive, meeting notes - Runs 100% locally (your data never leaves your machine) -

Prediction: In less than 6 months, you'll see blackmarkets on PC parts, that are great at running local AIs. And contrary to popular belief having a Mac Studio is not the best choice compared to getting the right PC spec: A dual RTX 6000 produces > twice as much ai compute

2/ The tool: CodeFlying What makes it different? It doesn't wait for prompts. It doesn't generate scaffolding you have to fix. You literally call it like a phone conversation. The entire development happens through Voice Chat And it argues with your ideas in real-time until

CEO of Y Combinator shared his CLAUDE.md prompt for Claude Code It helps him ship 4,000+ line features with full tests in about an hour: This prompt pushes Claude to: Decide if the plan is overbuilt, underbuilt, or "engineered enough" before writing any code

BREAKING: The largest collection of AI coding skills 860+ skills. One repo. Works everywhere. → Claude Code → Gemini CLI → Codex CLI → Cursor → GitHub Copilot → OpenCode → Antigravity IDE → AdaL CLI What are skills? AI agents are smart but generic. They don't know

80% done on an explorer for the tiered memory system in Solum, my Elixir-based OpenClaw🦞 killer™️ The context is just a frame. I've been running this system for a couple of days. It is no longer stuck in the user->agent message loop, and through context engineering, it treats

llmfit. Useful tool that probes hardware and tells you exactly which LLMs will actually run. - handles MoE expert offloading, picks the best quantization for your RAM, estimates tokens/sec before you even pull the weights. Essential for local dev. github.com/AlexsJones/llm…

🔌 llmfit Comando de terminal para analizar que modelos LLM puedes utilizar localmente en tu sistema, sus características y que rendimiento tendrán... 👇 Link al repo abajo

me cansé de pasarle twitts a mi agente y que no pueda leerlos o tarde 15 minutos lidiando con la api de X. asi que le di ojos en X. una CLI. 10 comandos, cache en SQLite, open source pip install xr-cli