Jcode DESTROYS Claude Code?
Por Julian Goldie SEO · 2 ago 2026 · 7:19
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En resumen
- JCode es un sistema de codificación AI gratuito y de código abierto.
- Promete ser 245 veces más rápido que Claude Code en términos de eficiencia.
- Puede actuar como un equipo completo de codificación AI, construyendo sitios web y gestionando múltiples agentes.
- Incluye memoria semántica automática y es eficiente en el uso de RAM.
- Se integra con otros modelos como ChatGPT y Gemini.
Resumen a partir del título y la descripción del video (sin análisis de comentarios).
Herramientas
Get the Agent OS & Jcode System 👉 https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts Get out SEO link building book here 👉 https://go.juliangoldie.com/opt-in?utm=julian JCode: The Free Open-Source AI Coding Harness That’s 245x Faster Than Claude Code The video introduces JCode, a new free open-source AI coding harness that is trending on GitHub with around 15,000 stars and claims major speed and efficiency gains, including about 14 ms time-to-first-frame—roughly 245x faster than Claude Code. The creator shows that JCode can act like a full AI coding team, building websites, running multiple agents in a coordinated swarm within the same repo, and maintaining automatic semantic memory across sessions via a vector-based memory graph. JCode is positioned as a lightweight, RAM-efficient terminal agent that reads projects, writes files, runs commands, and loops until completion, while working with existing subscriptions and CLIs for Claude, ChatGPT, or Gemini. The video also promotes an Agent OS setup available through the AI Profit Boardroom. 00:00 JCode Speed Promise 00:51 Benchmarks and Why Fast 01:41 Install and Early Demos 02:16 Agent OS Integration 02:48 GitHub Buzz and Features 03:44 Lightweight Swarm Workflow 04:23 Swarm Mode in Action 05:03 Memory Graph Explained 06:02 Models and No Extra Cost 06:38 Wrap Up and Next Steps 06:45 Join the Boardroom 07:17 Final Thanks
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