一只汪鸡

汪鸡的叫声就是：汪鸡！

[Marcel @marcelkargul]

modern CRM dashboard design

[一只汪鸡 @wangji2016]

@Moningmeng 产品经理思维😂

[老鬼 @laogui]

设计师 @Tanjim38 设计的这些 dashboard 真是太赏心悦目了，简洁清爽，干净利落。

哪怕把原稿直接甩给 AI，都做不出这么极致整洁的页面……

[Maxim Kuznetsov @disarto_max]

Some of my fav product design pieces from April ✨

[一只汪鸡 @wangji2016]

@zzzzshawn this website is amazing https://t.co/dpuA4h0ARF

[一只汪鸡 @wangji2016]

@zzzzshawn let's get it!

[Uday👨‍💻 @uday_devops]

How DevOps actually works in 2026 📚📕

🔹 Code: GitHub (Version Control)
🔹 Infra: Terraform (Provisioning)
🔹 Config: Ansible (Setup)
🔹 Package: Docker (Consistency)
🔹 Run: Kubernetes (Scaling)
🔹 Deploy: Helm (Management)
🔹 Automate: CI/CD (Speed)
🔹 Watch: Grafana (Monitoring)
🔹 Protect: DevSecOps (Everywhere)

Don't just learn Docker. Learn how Docker fits between GitHub and Kubernetes. That’s where the value is. 🚀

[一只汪鸡 @wangji2016]

@0xKevin00 一手生猪16吨，吃去吧

[Dhanian 🗯️ @e_opore]

MESSAGE QUEUES IN SYSTEM DESIGN

→ Message Queues are a communication mechanism that enables different parts of a system to interact asynchronously.
→ They decouple services by allowing producers to send messages without waiting for consumers to process them.
→ WHY MESSAGE QUEUES ARE IMPORTANT

→ Enable asynchronous processing
→ Improve system scalability
→ Increase reliability and fault tolerance
→ Prevent system overload during traffic spikes
→ Decouple microservices

→ HOW MESSAGE QUEUES WORK

→ Producer → sends message → Queue
→ Queue → stores message temporarily
→ Consumer (Worker) → pulls message → processes it
→ Acknowledgment → message removed after successful processing
→ MESSAGE QUEUE FLOW
→ Client Request → API Server
→ API Server → Push Task to Queue
→ Queue → Holds Task
→ Worker Service → Pulls Task
→ Worker → Processes Task → Stores Result
→ KEY COMPONENTS
→ Producer → sends messages
→ Queue → stores messages in order
→ Consumer → processes messages
→ Broker → manages the queue (e.g., Kafka, RabbitMQ)

→ TYPES OF MESSAGE QUEUES

→ 1. POINT-TO-POINT (QUEUE MODEL)

→ One producer → one consumer
→ Each message processed only once
→ 2. PUBLISH–SUBSCRIBE (PUB/SUB)
→ One producer → multiple consumers
→ Each subscriber receives a copy of the message
→ MESSAGE DELIVERY GUARANTEES

→ At Most Once → message may be lost but never duplicated
→ At Least Once → message delivered but may be duplicated
→ Exactly Once → message delivered once (complex to achieve)

→ MESSAGE QUEUES & SCALABILITY

→ Producers scale independently from consumers
→ Multiple consumers can process messages in parallel
→ Smooth handling of traffic spikes
→ MESSAGE QUEUES & FAULT TOLERANCE
→ Messages persist in queue until processed
→ Retry mechanisms handle failures
→ Dead Letter Queues (DLQ) store failed messages
→ POPULAR MESSAGE QUEUE SYSTEMS
→ Apache Kafka → high-throughput event streaming
→ RabbitMQ → reliable message broker
→ Amazon SQS → fully managed queue service
→ Google Pub/Sub → scalable messaging system

→ USE CASES

→ Background jobs (email sending, notifications)
→ Order processing systems
→ Event-driven architectures
→ Logging and analytics pipelines
→ Microservices communication

→ BENEFITS
→ Improves system responsiveness
→ Enables loose coupling between services
→ Handles high load efficiently
→ Enhances system reliability
→ CHALLENGES
→ Increased system complexity
→ Message duplication handling
→ Ordering guarantees can be tricky
→ Monitoring and debugging required

→ TIP

→ Message queues enable asynchronous, scalable communication
→ Improve performance and reliability in distributed systems
→ Essential for modern microservices architectures
→ Widely used in real-world scalable systems

📘Grab the System Design Handbook:
https://t.co/2LauJpfbk4

[一只汪鸡 @wangji2016]

@immersivetran 我们需要更多这种酷酷的网站😃

[一只汪鸡 @wangji2016]

@cuichenghao 拍视频的这个逼自己补了句「也要关注下」，设局、拍视频、补刀，这什么人啊

[SumitM @SumitM_X]

As a backend engineer.

Please learn:

- System Design (scalability, microservices)

-APIs (REST, GraphQL, gRPC)

-Database Systems (SQL, NoSQL)

-Distributed Systems (consistency, replication)

-Caching (Redis, Memcached)

-Security (OAuth2, JWT, encryption)

-DevOps (CI/CD, Docker, Kubernetes)

-Performance Optimization (profiling, load balancing)

-Cloud Services (AWS, GCP, Azure)

-Monitoring (Prometheus, Grafana)

Pick up a language..

Stop jumping from one language to the other

[一只汪鸡 @wangji2016]

@KKaWSB 鼠标右键菜单，每次都要点「显示更多选项」，烦死了

[陈成 @chenchengpro]

大多数人用 AI 写代码，还在一条条手敲 prompt。

真正的差距不在于谁用了更好的模型，而在于谁把自己的工程经验编码成了可复用的流程模块。

Matt Pocock（TypeScript 圈知名工程师）把他每天在用的 5 个 agent skill 全部开源了：

→ /grill-me — 在你动手写任何东西之前，对你的方案发起连续追问，直到把每个决策分支都逼出来。他自己被问了 24 个问题，坐在那写了一小时 PRD。

→ /write-a-prd — 通过互动访谈 + 读你的代码库，生成一份完整需求文档，自动以 GitHub Issue 归档。

→ /prd-to-issues — 把 PRD 按「垂直切片」拆成一个个独立可认领的 Issue，开箱即用。

→ /tdd — 经典红-绿-重构循环，每次做一个切片，逼 Agent 先写测试再实现。

→ /improve-my-codebase — 扫描代码库，找架构改进点，重点是加深"浅层模块"和提升可测试性。

三天前刚开源，已经 1.2k star。

这背后的本质是：会 prompt 的人很多，能把经验系统化的人很少。 Skill 就是把你作为工程师的判断力和流程，变成 Agent 可以反复执行的操作合约。

你写给 Agent 的 skill，就是你在这个时代留下的工程资产。

https://t.co/PzelKeITpK

[Ding @dingyi]

再次总结一下现在市面上的 design skills：

1. Impeccable
增强版 frontend-design skill，17 个设计命令（/polish、/audit、/distill 等）。
https://t.co/Vo6UIAcDvu

2. UI Skills
包含 15 个独立 skills：baseline-ui（Tailwind 设计一致性）、fixing-accessibility（无障碍审计）、fixing-metadata（SEO 元数据）、fixing-motion-performance（动画性能）、12-principles-of-animation（迪士尼动画原则）等。
https://t.co/3X5o3UyX3l

3. Taste Skill
包含 taste-skill（前端设计）、redesign-skill（升级现有项目）、output-skill（强制 AI 写完整代码）、soft-skill（让东西看起来和感觉昂贵。涵盖高级字体、宽阔的空白、层叠的卡片设计、流畅的弹簧动画以及漂浮导航。）。
https://t.co/bElD1T4EVZ

4. Better Icons
MCP server + skill，搜索并获取 20 万+ 图标，支持自动学习常用图标库，直接同步到项目 icons 文件。
https://t.co/dF2iFCHazY

5. UI Design Brain
60+ 组件最佳实践库，包含布局模式、无障碍规则和反模式，支持 5 种设计风格（SaaS、极简、企业、创意、数据仪表盘）。
https://t.co/yHVPZUgzXB

6. AI kit by Motion ($299)
Motion+ 会员专属，包含动画专家 skill、性能审计、CSS spring 生成、过渡可视化和文档搜索工具。
https://t.co/H48KM7V4j8

[Tw93 @HiTw93]

https://t.co/RTkJ3NQKeS

[一只汪鸡 @wangji2016]

@xiaomustock 要是再打几天仗，价格会跌到3.0

[Tz @Tz_2022]

https://t.co/DdA3d2Mc6w

[一只汪鸡 @wangji2016]

wow~已经过去10年了 #我的X周年纪念日