All 73 posts organized by date
Production-proven strategies to reduce LLM API costs by 60-80% without sacrificing quality. Covers token optimization, caching, model routing, and async processing with code examples.
An honest, hands-on comparison of the three dominant AI coding assistants. Real performance tests, pricing breakdown, and a decision framework to choose the right tool for your workflow.
A comprehensive guide to securing AI applications. Covers prompt injection, data leakage, model poisoning, and compliance frameworks with practical code examples.
A comprehensive guide to building and launching a SaaS business in 2026. Covers tech stack, validation, pricing, marketing, and everything between idea and first customer.
A hands-on guide to building production-ready AI agents using Claude Code. Learn agentic patterns, tool integration, and multi-step workflows that actually work.
A comprehensive guide to architecting production React applications at scale. Covers React 19 patterns, performance optimization, AI integration, and team scaling strategies.
A hands-on guide for Python developers transitioning to Go. Covers syntax differences, concurrency patterns, type system, and real-world examples with side-by-side comparisons.
A comprehensive guide to building, deploying, and scaling Model Context Protocol servers. Learn authentication, rate limiting, error handling, and production patterns.
A comprehensive guide to acing system design interviews in 2026. Covers traditional distributed systems plus AI-native architectures, LLM-powered apps, and vector databases.
An in-depth comparison of vector databases in 2026: Pinecone, Weaviate, pgvector, Chroma, Qdrant, and Milvus. Features, pricing, performance, and recommendations.
A practical guide to observability for production web applications. Covers OpenTelemetry, distributed tracing, cost optimization, and the modern observability stack.
The complete guide to building a developer workspace in 2026. Monitors, keyboards, chairs, and accessories tested and recommended for comfort, productivity, and health.
A practical roadmap for senior software engineers transitioning to AI engineering roles. Covers skills gap analysis, portfolio projects, interviews, and real salary data.
Stop building toy projects. Here are 7 portfolio projects that actually demonstrate AI engineering skills hiring managers want to see.
Comprehensive tech salary data for 2026. Software engineers, AI specialists, and tech leaders - actual compensation numbers by level, location, and company size.
A practical guide to reclaiming focus and doing deep work in a world of AI assistants, notifications, and constant interruptions. Science-backed strategies for 2026.
A comprehensive guide to remote work for software engineers. Async communication, productivity systems, home office setup, and maintaining work-life balance in a distributed world.
Claude Code 不只是代码补全工具，它是新一代 AI 软件工程平台。深入探讨如何在生产环境中规模化使用 Claude Code，涵盖高级模式、团队协作、自动化集成和最佳实践。
Why does your LLM app work in testing but fail in production? Build a systematic evaluation framework that catches failures before users do.
Production LLM systems fail silently. Learn how to implement comprehensive observability: distributed tracing for agent workflows, cost attribution, prompt versioning telemetry, and debugging strategies for when AI goes wrong.
Stop guessing with prompts. Learn the systematic patterns that separate amateur prompt hacking from production-grade LLM interactions: structured outputs, chaining strategies, defensive prompting, and more.
代码冲突、回滚困难、发布混乱？分享我 8 年来在多个团队中实践和迭代的 Git 工作流，包括分支策略、Commit 规范、Code Review 流程和 CI/CD 集成。
担心代码泄露给云端 AI？不想每月支付 API 费用？分享我构建本地 LLM 工作流的经验：从硬件选型到模型选择，打造完全离线的 AI 编程环境。
深入解析 Model Context Protocol，Anthropic 推出的开放标准如何让 AI 应用像插 USB 一样连接数据源，并手把手教你构建第一个 MCP Server。
从 OWASP Top 10 到安全开发生命周期，如何在日常开发中构建安全防线？分享我在处理 30+ 安全事件后总结的安全工程实践，让安全成为开发流程的自然部分。
为什么我还在用终端？因为配置好的终端比任何 GUI 都快 10 倍。分享我 5 年迭代的终端工作流：从 shell 选择到现代 Rust 工具链，打造极致效率的命令行环境。
三年用了 4 款屏幕挂灯，为什么最终选择了 BenQ ScreenBar Halo？从光路设计、无线控制到背部氛围灯，深度评测这款桌面照明终极方案。
从独立贡献者到团队放大器，mentorship 是资深工程师最重要的技能之一。分享我过去五年指导 20+ 工程师的经验，以及建立有效 mentor 关系的实践框架。
Why removing code, features, and complexity is often more valuable than adding them. A reflection on building simpler, more maintainable systems.
AI agents are the next evolution in LLM applications. Deep dive into agent architecture, the ReAct pattern, tool use, memory management, and building production-ready multi-agent systems.
Thunderbolt 4 扩展坞的终极形态？使用 CalDigit TS4 半年后，从连接方案、供电能力到多设备协同，分享它如何成为我桌面 setup 的核心枢纽。
从关注实现细节到掌控系统全局，从等待指令到主动定义问题。分享我五年内从初级工程师到 Tech Lead 的心路历程，以及那些没人教但必须自己悟的道理。
2 年重度使用后，这款被程序员群体封神的鼠标是否名副其实？从 MagSpeed 滚轮到跨设备 Flow，从手势操作到静音点击，全方位解析为什么它可能是你的最后一个鼠标。
作为每天佩戴 6+ 小时的开发者工具，XM5 是否值回票价？从降噪、音质、佩戴舒适度到多设备切换，一年深度使用后的真实体验。
每天被 Slack、邮件、社交媒体切割成碎片？分享我实践 4 年的深度工作方法论，包括时间块管理、注意力训练和环境设计，帮助你每天获得 3-4 小时的高质量产出时间。
从信息焦虑到知识复利，分享我三年来用 Obsidian 搭建 Zettelkasten 知识管理系统的完整方法论，包括 PARA 组织法、双向链接实践和每日回顾流程。
为什么你的测试总是跟不上代码变更？分享我团队 3 年迭代出的测试策略，包括测试金字塔实践、Mock 的艺术、以及如何让测试成为开发加速器而非负担。
为什么你的应用越来越慢？80% 的性能问题来自数据库。分享我 6 年来在 PostgreSQL 和 MySQL 上的优化经验，包括索引策略、查询优化和架构设计模式。
从 Copilot 到 Cursor，从代码补全到 Agent 模式。分享我如何用 AI 重构开发工作流，以及为什么我认为 AI Native IDE 是编程的未来。
A comprehensive guide to building production-ready AI systems in 2026
Master TypeScript's type system with advanced patterns including conditional types, mapped types, template literals, and real-world architectural patterns.
Transition from JavaScript to Rust. Learn memory safety, ownership, and why companies like Discord and Cloudflare are rewriting performance-critical code in Rust.
From prompt engineering to production deployment: a comprehensive guide to building robust AI-powered applications that scale.
A practical guide to designing scalable systems. Learn real-world patterns used by companies like Netflix, Uber, and Stripe.
After years of iteration, here's my everyday carry setup that balances function, aesthetics, and minimalism.
A comprehensive review of Razer's flagship low-profile mechanical keyboard after 6 months of daily use.