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Building n8n Automations with Claude Code and MCP
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This guy literally built full n8n automation using Claude Code and n8n MCP server.
— Shubham Saboo (@Saboo_Shubham_) 10 août 2025
From simple english prompts 🤯pic.twitter.com/FHPeurxqGFThis guy literally built full n8n automation using Claude Code and n8n MCP server. From simple english prompts
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ChatGPT scaffolds no-code app development with large code generation
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2. Build interactive tools and apps without code
— God of Prompt (@godofprompt) 10 août 2025
Describe your idea and ChatGPT scaffolds the UI, logic, and deployment steps no coding required… here it wrote 700+ lines of code in one go + a complete roadmap.
Prompt:
"You are a senior software architect who excels at… pic.twitter.com/IiMStyXXFn2. Build interactive tools and apps without code Describe your idea and ChatGPT scaffolds the UI, logic, and deployment steps no coding required… here it wrote 700+ lines of code in one go + a complete roadmap. Prompt: "You are a senior software architect who excels at
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10 Ways to Use GPT-5 That Feel Like Cheating
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ChatGPT 5 is dangerously good. But 99% of people are sleeping on what it can actually do. I’ve used it to build apps, generate content, automate deep research, and more. Here are 10 ways to use GPT-5 that feel like cheating:
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AI Tools Empower Developers to Scale Ambitious Projects
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I don't think AI will replace developers, but I do think it's already changing the work we do – devs who know how to effectively use these tools can take on more ambitious projects and change their pace of delivery
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Tool-Augmented RAG Agent Framework for Dynamic AI Search
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7. Tool-Augmented Unified Retrieval Agent for AI Search Presents a production-ready framework that extends the RAG (Retrieval-Augmented Generation) paradigm to support real-time, dynamic, and transactional queries through agentic tool use.
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CoAct-1: Multi-Agent System Combining GUI Interaction and Code Execution
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5. CoAct-1 Researchers from USC, Salesforce, and UW present CoAct-1, a multi-agent system that combines GUI interaction with direct code execution to improve efficiency and robustness in computer-using agents.
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Seed Diffusion: Discrete-State LLM for Code Generation
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6. Seed Diffusion A discrete-state diffusion-based LLM optimized for code generation, achieving 2,146 tokens/sec on H20 GPUs while maintaining competitive benchmark performance.
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AI Agents in Action: New Manning Book Release and Hands-On Guide
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Get this recent release from @ManningBooks >> “AI Agents in Action” at http://
amzn.to/44kbHsL Take a look inside the book here: https://
manning.com/books/ai-agent
s-in-action
… Gain hands-on experience in these areas: Understand and implement AI agent behavior patterns
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Stanford CS336: Building Large Language Models from Scratch
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Stanford CS336: Large Language Models from Scratch! This is a comprehensive course on LLMs, covers the full process of building one from scratch, including data collection, pretraining, transformer architecture, training, evaluation, and deployment.