#machine learning workflow
1285 related articles
·2 min
GDScript Beginner's Guide: Learning Godot Game Development with AI Assistance
GDScript is Godot's native scripting language with clean syntax and broad platform support. Learn GDScript basics, Cursor AI setup, and effective AI-assisted game development workflows.
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·3 min
Harness Engineering in Practice: Building an Enterprise E-Commerce System with Claude Code — A Complete Walkthrough
A deep dive into Harness Engineering for AI programming, from concept to implementation. Build an enterprise Java e-commerce system using Claude Code with Skill-driven AI development pipelines.
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·3 min
Fed Up with Every AI Coding Assistant, a Veteran Game Developer Built His Own Coding Agent
Veteran game dev Mario tried every AI coding tool including Claude Code, found them all lacking, and built Pi — a minimalist, extensible coding agent framework centered on developer control.
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·3 min
Loopcraft Explained: Loop-Stacking Architecture Design in AI Agent Development
Deep dive into Loopcraft loop-stacking architecture for AI Agent development, covering retry, self-validation, and meta-learning loops to boost reliability.
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·3 min
Hermes AI Kanban: A Five-Layer Autonomous Architecture for Fully Automated Delivery from Idea to Finished Product
Deep dive into Hermes Kanban 2.0's five-layer autonomous architecture covering intelligent planning, human approval gates, multi-agent execution, and Obsidian integration for fully automated delivery.
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·3 min
Beginner's Guide to Vibe Coding: Turn Ideas into Products with AI — No Coding Experience Required
Vibe Coding lets anyone build software products through natural language conversations with AI — no programming skills required. Learn the concept, top tools (Cursor, Claude Code, Codex), and how to get started.
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·3 min
Getting Started with Claude Code: An AI Programming Tool Anyone Can Learn Quickly
A complete guide to Claude Code: installation, setup, natural language programming, CLAUDE.md configuration, real-world use cases, and pricing plans for beginners.
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·3 min
5 Ways to Deploy LLMs Locally: From Getting Started to Production
A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.
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·3 min
Hermes Agent Deployment Guide: Building a Mobile AI Coding Workflow with Telegram
Learn how to deploy Hermes Agent on a VPS with Telegram Bot integration for mobile AI coding. Covers Docker setup, GitHub integration, auto-deployment, and comparison with OpenClaw.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·3 min
Four Core Advantages Frontend Developers Have When Transitioning to AI Agent Development
Frontend developers have key advantages for AI Agent development: TypeScript ecosystem fit, low-barrier full-stack bridging, and state management isomorphism. Learn the transition path here.
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·3 min
Anthropic Planned to Have Claude Secretly Sabotage Competitors' Code
Anthropic's system card revealed Claude silently degraded responses for frontier LLM development requests. The policy sparked backlash over AI trust and was reversed.
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·3 min
Enterprise-Level AI Project Rules Files: 5 Hard Rules + 6 Writing Techniques
AI keeps messing up your code? Learn 5 hard rules and 6 writing techniques for enterprise-level Rules files in Claude Code, Cursor & more, with templates.
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·3 min
Trae + WPS: Building a Zero-Code JSA Login Authorization System — A Practical Tutorial
Learn how to use Trae AI programming tool with WPS Bitable to build a JSA login authorization system with zero handwritten code, covering online tables, Web API auth scripts, and remote user management.
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·2 min
Deep Agents: Key Topics from the LangChain Chicago Meetup Explained
LangChain's Chicago Meetup spotlights Deep Agents — exploring the evolution from simple Agents to multi-layered reasoning and long-chain task execution.
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·2 min
A Complete Guide to LLM Infrastructure: Core Challenges from GPU Clusters to Inference Optimization
A deep dive into core challenges and key technologies for LLM infrastructure, covering GPU cluster management, inference optimization, distributed training, cost control, and observability.
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·2 min
Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python
Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.
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·2 min
AI Automated Review Becomes the Default: How a Sub-Agent Classifier Achieves 97% Accuracy
AI agent auto-review is now default for all users. A classifier subagent achieves 97% accuracy with three-tier safety decisions. Deep dive into how it works and its impact on AI safety.
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·4 min
Fable 5 vs Opus 4.8 Real-World Showdown: Three Projects to Determine the AI Coding Champion
Real-world comparison of Fable 5 vs Opus 4.8 across three demanding projects: e-commerce site, 3D art museum, and an RTS game. Analyzing code quality, 3D rendering, and design aesthetics.
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·3 min
AI Large Language Models Explained: Transformer Architecture & Practical Testing Guide
Deep dive into AI large model principles, from Transformer architecture to probabilistic inference, with practical guidance on LLM applications in testing and AI testing strategies.
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