A public account focused on workplace, career growth, team management, and self-improvement. The author is the writer of books including 'SpringBoot Technology Insider' and 'Drools 8 Rule Engine: Core Technology and Practice'.
When code generation becomes cheap, the cost shifts from implementation to judgment, selection, integration and presentation, forcing product teams to rethink PRDs, design signals, role boundaries, and long‑term planning while emphasizing taste and outcome over rigid processes.
This article analyzes why token waste in Claude Code stems mainly from bloated context rather than verbose prompts and presents seven concrete techniques—including model selection, CLAUDE.md management, Subagent usage, precise file targeting, early compacting, context diagnostics, and restrained tool integration—to reduce token consumption by up to 80% while preserving workflow efficiency.
This article walks through a real‑world project where Claude Code is used to initialize a CLAUDE.md contract, integrate a Milvus database SDK, generate table schemas, clear AI context, manage Git worktrees, and automate unit testing and bug fixing, demonstrating significant efficiency gains.
In an urgent backend project, the author used Claude Code (GML‑5.1) with Go and go‑zero to generate documentation, integrate Milvus, design a vector table, and add embedding support, spending 200k‑300k tokens for about 2‑3 CNY, while discussing speed bottlenecks, workflow choices, and practical tips for parallelism and mode configuration.
The article shares six hands‑on lessons learned from working with Claude Code, covering plugin usage, the evolving role of engineers, fine‑grained task splitting, fully embracing AI coding, the continued importance of programming expertise, and developing a product‑first mindset.
This article explains Claude Code’s Agent Skills concept, shows how to add plugin marketplaces and install the open‑source Superpowers Skills repository, and demonstrates using Skills to design and implement a login feature through interactive questioning, planning, sub‑agent execution, and test‑driven development, highlighting the resulting efficiency gains.
The article explains that after installing Claude Code, the most important action is to create a CLAUDE.md file that defines a contract of constraints for the AI, detailing its structure, best‑practice writing tips, and practical examples for global, project, and local scopes.
This guide walks you through installing Claude Code on macOS, configuring it with the CC Switch tool to use domestic AI models, and demonstrates a simple "Hello, Claude Code!" HTML generation example, covering all required commands, settings, and troubleshooting steps.
This article examines OpenClaw’s architecture, its integration of chat entry, agent orchestration, sandbox execution, and extensible skill packs, while highlighting practical limitations such as high token consumption, error amplification, limited professional capabilities, and security concerns that temper its real‑world impact.
This article explains how Mermaid's text‑based diagram syntax can be combined with AI to quickly generate flowcharts, sequence diagrams, class diagrams, and even pie charts, highlighting its advantages such as version control, easy modification, automatic layout, and seamless Markdown integration.
