#scaffolding
156 related articles
·4 min
NRF52840 Bluetooth Keyboard Development: Hardware Selection and AI-Assisted Project Setup
Building an NRF52840 Bluetooth left-hand keyboard from scratch: why NRF52840+ZMK, AI-assisted project init, pin assignment, and real-world debugging of Bootloader offsets and Kconfig configuration.
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·4 min
AI-Powered Automated Testing: Using Pytest + MCP to Tackle Non-Determinism
Deep dive into AI-era automated testing: using Pytest + Playwright + MCP for stable automation, constraining code conventions with Skills, avoiding non-determinism and high token costs. Includes real debugging war stories.
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·3 min
Enterprise AI Deployment: The Core Decision Between Ontology and Agent Architecture
A systematic guide to enterprise Ontology: its core value, tools like OntoFlow and FIBO, when to build one, and how to deploy business-domain-level AI Agents.
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·3 min
DeepAgents in Practice: A Complete Guide to Building a HarmonyOS Automated Testing Agent
A deep dive into DeepAgents' core mechanisms, with a hands-on guide to building a HarmonyOS automated testing Agent — covering create_deep_agent, LangChain comparison, and long-chain task planning.
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·2 min
23K Stars on GitHub: The Hackathon Champion's Ultimate Claude Code Configuration Guide
A Claude Code open-source config with 278 skills and 67 sub-agents helps developers ship a full MVP in 8 hours. Covers security scanning, silent failure detection, and experience migration. Free under MIT license, compatible with Cursor and Codex.
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·3 min
AI Second Brain Tech Stack: Building a Proactive Intelligent Assistant for ADHD Users
How to build a true AI second brain for ADHD users: LangGraph, n8n, RAG, vector databases, and layered architecture for a proactive personal assistant.
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·2 min
Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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Getting Legal AI Right: Why the Coding…
·2 min
Getting Legal AI Right: Why the Coding Agent Paradigm Doesn't Translate
Most legal AI products are just general-purpose models wrapped in RAG and prompt engineering scaffolding. Learn why the coding agent paradigm fails in law and what real legal AI requires.
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·3 min
Vibe Coding in Action: How AI Collaboration Built an Award-Winning Sleep Aid Product
A Bilibili creator used Vibe Coding to independently build 'Breath Garden,' an AI sleep companion app, winning third place at the Tencent Music Hackathon. Full breakdown inside.
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·3 min
ChatCut × Codex Hands-On: Can AI Agent Edit Your Video With a Single Prompt?
Hands-on test of ChatCut AI video editor: Codex plugin support, auto filler removal, MG animation & subtitle generation. Full workflow test on a 3min 20sec video.
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Production-Grade LangGraph Template: A…
·2 min
Production-Grade LangGraph Template: A Practical Guide to Engineering AI Agents for Production
A deep dive into production-grade LangGraph templates covering state management, observability, error handling, and containerized deployment to bridge the gap from demo to production.
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·3 min
Vibe Coding for Beginners: How Ordinary People Can Command AI to Code — and Do the Work of an Entire Team
Naval Ravikant says Vibe Coding lets one person do the work of 8 engineers. Learn what Vibe Coding is, which tools work in China, and how to start in 3 steps.
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How DSLs Make LLM Outputs More Reliabl…
·3 min
How DSLs Make LLM Outputs More Reliable: Principles and Practice
LLM output instability is a core production challenge. This article analyzes how DSLs improve LLM reliability through verifiability, semantic convergence, and structural constraints.
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Soofi Open-Source Foundation Model Tra…
·2 min
Soofi Open-Source Foundation Model Training Code Deep Dive: The Complete Pipeline from Data to Weights
Soofi is an open-source project providing complete foundation model training code, covering data preprocessing, tokenizer construction, model architecture, and training optimization. A deep dive into its value for the LLM ecosystem.
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·2 min
Vibe Coding in Practice: AI Agents Complete Full Research Experiments in Minutes
No coding required — just describe your needs in natural language. AI Agents handle data cleaning, model training, and visualization automatically. We tested Codex and Claude Code on a heart disease prediction task.
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·2 min
Peer Instruction for ML Self-Learners: A Practical Guide to Breaking Through Plateaus
A civil engineering student's Reddit plea reveals ML self-learning's most overlooked obstacle: lack of feedback and peers. Explore peer instruction theory and actionable tips for cross-disciplinary AI learners.
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·3 min
OpenAI Removes the 5-Hour Limit: Intensifying AI Subscription Competition Makes Users the Biggest Winners
OpenAI removes the controversial 5-hour usage limit and raises subscription quotas. As competition with Anthropic, Google, and others intensifies, users are winning big in the AI arms race.
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·3 min
How to Choose an AI Agent Development Course? 5 Practical Screening Criteria to Avoid Common Pitfalls
How to choose a quality AI Agent development course? This guide covers 5 key criteria: complete delivery pipeline, resume-worthy projects, real engineering perspective, update frequency, and mentorship.
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·3 min
AI Tool Selection Guide for Test Engineers: A Hybrid Approach to Avoid Three Common Pitfalls
How should test engineers choose AI tools? This guide breaks down the pitfalls of pure AI solutions and recommends a hybrid strategy using tools like DeepSeek, TRAE, Claude Code, and Skill encapsulation.
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Deep Dives
Deep Dive into AI Agent Skill Design: …
·3 min
Deep Dive into AI Agent Skill Design: Engineering Practices from Anthropic and Perplexity
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.
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