Vibe Coding、Cursor、Claude Code、Codex、Copilot
This collection features articles and community discussions in the AI 编程 space, focusing on real-world engineering scenarios, tool selection, practical paths, and risk boundaries.
The page is continuously updated and serves as a learning roadmap, technology selection reference, and technical review entry point.
Vibe Coding is not "letting AI write whatever it wants"; it is a new paradigm for driving engineering through natural language. Learn the mental-model shift, Claude Code's spec → plan → iterate workflow, context management, and which tasks suit vibe coding or require human oversight, turning AI coding from a "toy" into real productivity.
Server-side tests passing does not mean consumers still work. This article combines specification diffs, consumer contracts, cross-version replay, and migration windows into compatibility gates to constrain Agent modifications to REST, events, and message structures.
Technical trends, engineering practices, and an indie developer perspective on Vibe Coding, AI, and independent development.
Technical trends, engineering practices, and indie-developer perspectives around AI, AI Agents, and Vibe Coding.
In 2026, the AI coding tool question is no longer "whether to use one" but "which one to use." This article compares four mainstream tools across six dimensions — form factor, model, context management, agent capability, ecosystem, and pricing — and offers scenario-based selection advice: no single best, only the most suitable.
Around Vibe Coding and AI: technology trends, engineering practices, and an indie developer's perspective.
Centered on Vibe Coding and AI technology trends, engineering practices, and the independent developer perspective.
Technical trends, engineering practices, and an independent-developer perspective around AI and AI agents.
Centered on Vibe Coding, AI technology trends, engineering practices, and the independent developer perspective.
A prompt is not a "wish" but a specification for the model. This article explains the six elements of a structured prompt, advanced techniques such as CoT, few-shot examples, and XML segmentation, defensive phrasing, and a reusable debugging method that turns intuition-driven prompt tuning into an engineering process.
Taking over an unfamiliar codebase used to take a week of reading; an AI agent can map the skeleton in hours. Learn to use Claude Code/Cursor to onboard fast: architecture overviews, call-chain tracing, feature explanations, risk identification, and good codebase indexes (AST/docs).
"Local mode" and "enterprise no-training" are not enough to prove code stays within bounds. This article binds repository classification, task materials, execution location, model calls, and residue cleanup into a verifiable routing contract, and defines safe degradation when cloud capability is unavailable.