#tool registry
221 related articles
·8 min
Quick Start with SpringBoot for Beginners: From a Java Project to a Real Enterprise Application
Discover why beginners study SpringBoot for six months without getting started. Learn the 'focus on the big' methodology, and evolve a simple Java project step by step into a runnable enterprise application with IDEA.
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·7 min
Dify Local Deployment Guide: Full Walkthrough with BT Panel + Docker
A step-by-step guide to locally deploying the Dify open-source AI platform using BT Panel on a VMware virtual machine, covering Ubuntu setup, Docker config, and image pull troubleshooting—beginner-friendly.
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·7 min
Dify Local Deployment in Practice: A Complete Guide with BT Panel + Docker
A step-by-step guide to locally deploying the open-source Dify AI platform using the BT Panel on a VMware virtual machine—covering Ubuntu setup, Docker config, and image pull troubleshooting.
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·2 min
AI Agent Permission Configuration in Practice: A Complete Guide to Auto-Saving PRD Documents
AI writes your PRD but can't save it? The root cause is Agent tool permission configuration. Learn read, write, and command execution permissions — and why you need a new session after changes.
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·2 min
Vibe Coding vs AI Engineering: A Practical Enterprise-Level Comparison Guide
A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.
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·3 min
lx: 72 Local CLI Tools That Bring Ollama Models Into Your Terminal
lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.
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·4 min
The Complete Guide to Claude Code Skills: Installation, Creation, and Management
A complete guide to Claude Code Skills: what they are, how they differ from Plugins, three installation methods, how to write SKILL.md, trigger mechanisms, and top resource recommendations.
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·3 min
LangGraph Production Template in Practice: A Complete Guide to Budget Control and Canary Routing
Deep dive into langgraph-agent-stack: per-run dollar budget control, canary traffic routing, Mock testing mode, and 800+ test cases to safely deploy AI Agents from demo to production.
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·2 min
Ollama Modelfile in Practice: Deploy Your Own Custom DeepSeek-R1 Model Locally
Step-by-step guide to wrapping DeepSeek-R1 with an Ollama Modelfile — set temperature, system prompts, and run fully offline for privacy and flexibility.
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·3 min
Flyte Deep Dive: A Practical Guide to Choosing Your ML Workflow Orchestration Tool
Deep dive into Flyte's core capabilities: cloud-native GPU scheduling, intelligent caching, checkpoint recovery, and conditional deployment — plus a full comparison with Argo and KubeFlow Pipelines.
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·3 min
MLOps from Scratch: A 100-Day Learning Challenge Roadmap and Practical Guide
A college student's MLOps 100-day challenge documents the full journey from Python engineering and Git to Docker, model deployment, and monitoring. A practical roadmap for data scientists transitioning to ML engineering.
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·3 min
Build an MCP Server in 10 Minutes: Let AI Call Your Code Directly
MCP (Model Context Protocol) is the open standard for AI tool integration. Build your own MCP server with ~20 lines of Python. Learn tools, resources, prompts, and both local and remote deployment.
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·2 min
Telemetry Guard: An Open-Source Windows Telemetry Blocker Built by a Programmer
Telemetry Guard is an open-source Windows privacy tool built by a software engineer. It uses PowerShell + a lightweight GUI to disable telemetry, ad tracking, and activity history, with backup and rollback support. MIT licensed and free.
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·2 min
How to Trust AI-Generated Code: A Practical Verification Framework for Developers
AI writes code fast, but developers fear deploying it. Learn a systematic methodology for verifying AI-generated code — from generation to trusted production deployment.
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·3 min
What to Do When Model Training Fails? A Systematic Debugging and Iteration Guide
Model training failure is the norm in research, not the end. Using a real DiT fine-tuning failure on weather radar as a case study, this guide offers a systematic three-layer debugging methodology — data, training convergence, and evaluation — to help deep learning practitioners diagnose issues and iterate efficiently.
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AI Agent Human-in-the-Loop (HITL) Desi…
·3 min
AI Agent Human-in-the-Loop (HITL) Design: Risk Classification and Best Practices
A deep dive into AI Agent Human-in-the-Loop design: balancing automation with oversight using risk tiers, async approval, and confidence thresholds.
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Is Chasing the Latest AI Models Worth …
·2 min
Is Chasing the Latest AI Models Worth It? A Big Tech Engineer's Honest Question — and a Rational Answer
A 10-year big tech data engineer asks: why chase the latest AI models? This deep dive analyzes the three core motivations behind AI tool upgrades and helps you find the right model selection strategy.
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·2 min
Claude Code Installation Guide for China: Complete Setup from Scratch
Complete guide to installing Claude Code in China: platform steps for Windows/macOS, VPN requirements, Git dependency, error fixes, and how it differs from Cursor and VS Code.
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·3 min
Harness Architecture in Practice: A Deep Dive into Enterprise-Level Agent Projects
A deep dive into Harness architecture in enterprise Agent projects, covering MCP protocol, sandbox isolation, multi-model scheduling, and ASGI deployment — key topics for LLM job interviews.
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AI Agent in 100 Lines of Lisp: Minimal…
·2 min
AI Agent in 100 Lines of Lisp: Minimal Code Reveals the True Nature of Intelligent Agents
A fully functional AI Agent in just 100 lines of Lisp reveals the essence of the ReAct loop. Deep dive into Agent architecture, Lisp's unique strengths, and minimalist engineering philosophy.
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