Examines the critical importance of intent alignment between humans and AI in the AI coding era. Analyzes how ambiguous natural language, insufficient context, lack of verification loops, and excessive context lead to the gap between intent and results under the Vibe Coding and Harness Engineering paradigms, and provides practical recommendations.
Explore the practical applications of Git Worktree in the AI-driven development era. This article deeply analyzes the Worktree mechanism, reveals the pain points of traditional Git workflows in Vibe Coding scenarios, and provides complete solutions for practical scenarios such as multi-AI parallel development and experiment isolation.
A deep dive into the GSD (get-shit-done) specification-driven development system. Learn how it tackles the context rot problem through fine-grained phased workflows and subagent mechanisms. A backend developer's perspective on why this approach resonates with modular design principles.
A deep dive into the paradigm shift in Vibe Coding era: moving from traditional Prompt Engineering to Harness Engineering. Sharing practical SDD spec-driven development experience in DDD+gRPC projects, using OpenSpec and oh-my-openagent tools to achieve high-quality AI-assisted coding.
Tired of repeating yourself to AI coding assistants? Discover how opencode-mem adds persistent memory to OpenCode using local vector databases. Learn about its lightweight architecture, privacy features, and how it automatically learns your preferences over time.
A personal journey exploring OpenSpec in the OpenCode environment. Learn how spec-driven development bridges the gap between AI coding assistants and structured development workflows, and why I chose it over Spec Kit for my projects.
Give your terminal the superpower to summon VS Code instantly. Say goodbye to tedious file dragging and hello to lightning-fast project opening with just 30 seconds of setup.
After adding Qwen series models to my subscription, I re-evaluated the optimal model selection for each Agent. qwen3-max with GPQA 86.1% and LiveCodeBench 91.4% becomes the top choice for deep reasoning, while qwen3-coder-next at $0.12/M offers unbeatable value for high-frequency coding scenarios.
What started as a question about an EDL cable turned into a full refresher on flashing the Xiaomi 9 SE. This guide covers everything from choosing the right flashing method to updating LineageOS on a Mac.
How do you choose the best Chinese LLMs for different agents in oh-my-opencode? Based on deep research into GLM-4.7, GLM-5.0, MiniMax-M2.5, DeepSeek-V3.2, and Kimi-K2.5, this article provides a battle-tested configuration strategy to help you achieve the optimal balance between performance and cost.
