This article is published and updated on Cao Mei You Ren’s Blog and synchronized across multiple platforms. For any updates, the version on the blog takes precedence. You can also check the latest version via the Original Link at the end of the article.

Foreword

Welcome to Cao Mei Weekly! This is an AI-curated newsletter by Cao Mei You Ren, aiming to provide you with the latest blog updates, GitHub activities, personal updates, and recommendations from other weekly publications.

This week, I’d like to talk about OpenClaw (jokingly referred to as the “crayfish” by netizens), which has been making waves in the community lately. I jumped on the bandwagon myself, tinkering with it from installation to hands-on testing, and I have some very practical insights to share with you all.

OpenClaw is indeed popular, but honestly, its “entry barrier” isn’t low. While the Docker image simplifies the installation process significantly, configuring and successfully running it still took me quite some time.

Additionally, as a programmer, I must warn everyone: this thing poses real security risks.

Every time you integrate a plugin (such as connecting to QQ or Weibo), you’re essentially opening a new backdoor for yourself. If you plan to add it to group chats or allow multiple people to share access, even a slight misstep in permission control could render the entire environment uncontrollable. My suggestion is to set up a clean, isolated server environment dedicated solely to running OpenClaw—don’t experiment recklessly on production machines or local computers storing sensitive data. Even locally, try using a virtual machine or spare device. There’s no need to risk your assets just for novelty’s sake.

Weibo plugin details: https://gitee.com/wecode-ai/openclaw-weibo
QQ plugin details: https://q.qq.com/qqbot/openclaw/login.html

Another practical issue is—it’s incredibly “token-hungry.” Without a programming-related subscription plan, relying solely on pay-as-you-go pricing makes the cost unbearable for average users. Currently, AI assistants are more like high-powered automation tools—great at scripting and optimizing workflows, freeing us from repetitive tasks. But they’re far from invincible; the steering wheel remains firmly in your hands.

If you’re serious about subscribing, check out: MiniMax Coding Plan, GLM Coding Plan

This week, development on Mo Mei Blog has also progressed steadily.

The main focus this week was adding commercialization and ad network integration, now supporting Google AdSense or domestic ad networks like Baidu and Tencent to generate revenue.

Added support for the ActivityPub protocol, enabling social federation.

Additionally, for ASR (Automatic Speech Recognition), frontend direct connection via Volcano Engine was implemented, allowing speech recognition without backend bridging—resulting in faster response times.

After extensively using various AI tools lately, my stance remains unchanged: models determine the ceiling, tools determine the floor.

Whether it’s command-line interfaces or editor integrations, tools define the “lower bound” of collaboration, but the AI model’s capabilities directly dictate the “upper bound” of outcomes.

I’ve experimented with letting AI (e.g., GLM-5) handle coding entirely—while it’s impressively powerful, errors still accumulate over iterations in large, complex projects.

Without rigorous human review, these minor bugs can snowball into major issues. So my conclusion stands: AI is a powerful copilot, but the destination and route must always be human-driven.

In short: models set the ceiling, tools set the floor, and humans guard the baseline.

Finally, some random thoughts.

The explosion of large models in recent months has left many friends inside and outside the tech circle feeling anxious. This sentiment started brewing as early as late 2022.

But lately, I’ve found some peace with it. At its core, AI remains confined to processing tasks within computers—it can tirelessly write code but can’t decide the soul of your creation. In this era where everything can be AI-generated, if you’re not steering your project’s direction yourself, your existence as a developer loses meaning.

Therefore, to avoid being phased out prematurely, we must leverage these tools to focus on more creative tasks. The time saved should be invested in higher-level thinking.

That’s all for now. See you next time, bye~

Latest GitHub Repositories

• rss-impact-next - 2026-03-04 23:54:06
  An RSS-based Hook system. This project is a full-stack refactored version.

GitHub Releases

rsshub-never-die

v1.3.1 - 2026-03-03 20:39:25

Summary:
Version 1.3.1 primarily includes the following bug fixes:

1. Error Handling Optimization: Updated the status code types in error handling to ensure correct response statuses are returned.
2. Configuration Logic Simplification: Removed the priority and backup properties from NodeConfig, simplifying node configuration logic.

v1.3.0 - 2026-03-03 20:02:37

Summary:
Version 1.3.0 Highlights

This release includes the following updates:

New Features

• Optimized instance selection logic, supporting mandatory, backup, and weighted configurations.

Bug Fixes

• Fixed node pool capacity limits and added safeguards against empty pools during rapid responses.
• Updated the src/routes/index.ts file.

caomei-auth

v1.13.0 - 2026-03-07 20:16:36

Summary:
Version 1.13.0 includes the following updates:

New Features

• Frontend: Migrated frontend form validation to Zod and completed the migration of OAuth and SSO dialogs.
• Validation: Fully migrated the project to Zod validation, fixed related tests, added Zod validation infrastructure, and migrated path parameter handler validation logic.

momei

v1.8.0 - 2026-03-07 20:13:17

Summary:
Version 1.8.0 includes the following updates:

Performance Optimization: Adjusted serverless scheduled task intervals from 5 minutes to 15 minutes.

New Features:

1. AI Image Generation: Added image generation options, multi-image preview support, and resolutions up to 1K, 2K, and 4K, along with Gemini 3.1 model integration.
2. ASR (Speech Recognition): Completed async task support, performance optimization, and direct integration into the voice editor.
3. Ad Network: Implemented domestic ad network adapters, content injection, admin UI, and foundational integration.
4. Other Features: Added ActivityPub protocol support, deep serverless ecosystem adaptation, external link management, Google Adsense integration, AI task timeout configuration, and admin permission verification.

Bug Fixes:

1. ASR: Fixed security and linting issues identified during code audits and optimized audio stream state management.
2. Ads & External Links: Fixed styling issues on ad management pages and improved dialog usability.
3. Security & Stability: Patched potential XSS vulnerabilities in shortcodes, added API rate limiting, and optimized authentication settings.
4. Other Fixes: Updated multilingual files, fixed federation code issues, and enhanced image provider support.

Code Refactoring: Improved code structure and query logic, removed deprecated fields and steps, and strengthened HTML processing security and timeout configuration readability.

Latest GitHub Starred Repositories

• CaoMeiYouRen starred mini-swe-agent - 2026-03-07 12:48:21
  This is an AI tool called SWE-agent designed to automatically resolve GitHub issues or assist via the command line. Its philosophy is extreme simplicity, requiring no complex configuration or massive codebase. The tool achieved a verified score of over 74% on the SWE-bench benchmark. Primarily developed in Python, it has garnered 3,198 stars on GitHub.

• CaoMeiYouRen starred SWE-agent - 2026-03-07 12:47:46
  SWE-agent is a language model-based automation tool capable of handling GitHub issues and attempting automatic fixes. It can also be applied to offensive cybersecurity or programming competition challenges. Presented at NeurIPS 2024, the project is mainly written in Python and has earned over 18,600 stars on GitHub.

• CaoMeiYouRen starred ghfs - 2026-03-06 00:31:37
  This project transforms GitHub issues and pull requests into a filesystem format, facilitating offline viewing and batch operations. It caters to both human users and automated agents. Developed primarily in TypeScript, it currently has 145 stars on GitHub.

• CaoMeiYouRen starred 91Writing - 2026-03-04 16:07:08
  This is an intelligent AI novel-writing tool built with Vue 3 and Element Plus. It integrates multiple AI models to help fiction writers improve their productivity. The main programming language is Vue, and it has received 1,305 favorites on the code hosting platform.

• CaoMeiYouRen starred mcp-chrome - 2026-03-04 16:05:00
  Chrome MCP Server is a Chrome extension-based Model Context Protocol server. It exposes Chrome browser functionality to AI assistants like Claude, enabling complex browser automation, content analysis, and semantic search. The project is written mainly in TypeScript and has surpassed 10,000 stars on GitHub.

Other Blogs or Weekly Recommendations

Ruan YiFeng’s Blog

• Tech Enthusiast Weekly (Issue 387): You Are Ahead - 2026-03-06 04:20:54

Amao’s Blog

• 2136: Humanity Invented the Hyperdrive - 2026-03-04 18:42:32
• CatFish Weekly Vol. 093: Happy Year of the Horse - 2026-03-02 00:14:31

Trend Weekly

• Issue 259 - Sky Path - 2026-03-09 08:00:00
• Issue 258 - Cyber Charging - 2026-03-02 08:00:00

EryaJF’s Learning Weekly

• Learning Weekly - Issue 253 - Week 10 of 2026 - 2026-03-05 21:30:59

Summary

Here’s the translated content in en-US while maintaining all markdown formatting, links, and code blocks:

This week’s updates and highlights are as shown above. Thank you for reading!
You can subscribe to the Caomei Weekly updates through the following channels:

• Blog: Caomei Youren’s Blog
• Momei Blog: Momei Blog
• RSS: Caomei Weekly
• Official Account: Caomei Youren’s Backyard
• Email Subscription: Caomei Youren’s Blog Subscription

Past Issues

• Momei Blog 1.7.0 Release & AI Development Practice | Caomei Weekly Issue 9, 2026 - 2026-03-01 23:22:02
• Momei Blog 1.4.0 Release & Open-Source Updates | Caomei Weekly Issue 6, 2026 - 2026-02-08 21:17:40
• Momei Blog 1.3.0 Release & Server Data Backup Lesson | Caomei Weekly Issue 5, 2026 - 2026-02-01 23:40:42

This article is published and updated on CaoMeiYouRen’s Blog and synchronized across multiple platforms. For any updates, the version on the blog takes precedence. You can also check the latest version via the Original Link at the end of the article.

Preface

Welcome to CaoMei Weekly! This is an AI-curated weekly newsletter by CaoMeiYouRen, aiming to provide you with the latest blog updates, GitHub activities, personal updates, and recommendations from other weekly publications.

Open-Source Updates

This week, development continues on Momei.

You can try it out on the Demo site: https://demo.momei.app/

• Use the demo admin account with email admin@example.com and password momei123456.

Or register on the official website: https://momei.app/

You can also visit the documentation site to learn about the project’s overall plan and future roadmap: https://docs.momei.app/

The Momei Blog has officially released version 1.7.0. Below are some screenshots of the pages and features.

On the article editing page, AI-powered language input has been added, along with AI-assisted text refinement.

AI-generated covers are now available, automatically creating cover prompts based on article content and generating corresponding cover images.

Added scheduled article publishing, synchronization to Memos, and one-click distribution via Wechatsync.

Introduced article-to-audio generation, allowing one-click podcast audio creation.

Added Live2D mascot and background particle animation effects.

Please note the copyright of Live2D resources and comply with relevant licenses when using them.

For more features and pages, visit the official website or check out the screenshots in a previous blog post.

We welcome users to try it out and share their feedback and suggestions.

Moving forward, development will continue according to the roadmap and backlog. Stay tuned!

Of course, Momei Blog still has many details to refine, and its features are not yet complete. If you have any feedback or suggestions, feel free to raise them in the project’s GitHub issues.

If you’re interested in Momei Blog, you’re welcome to participate in development and testing.

AI Project Development and Reflections

Recently, AI news has been flooding the internet. Whether it’s the groundbreaking video-generation AI Seedance2.0 or the highly anticipated personal AI assistant OpenClaw, these developments have caused quite a stir online. Today, I’d like to share some thoughts from my recent intensive AI development and usage.

First, the result of this period of intense AI development—Momei Blog.

From project initiation to the first release, it took about a month. Excluding delays due to travel, development took less than three weeks—around 20 days in total.

For a solo developer, this speed is quite remarkable.

It shows that with AI assistance, coding is no longer a daunting task, and turning ideas into tangible outcomes has become much easier.

If I were to develop it from scratch without AI, it would likely take 2-3 months or more.

During later stages of development, as custom Agents and Skills were refined, the development pace accelerated further. Each release now included hundreds of commits, many of which involved challenging tasks I would have struggled to implement myself—such as comprehensive project internationalization and full AI integration (supporting various providers like GPT, Gemini, Claude, etc.).

One key takeaway from this project is: Always use the best AI model available if possible. You truly get what you pay for.

For example, to conserve my GitHub Copilot quota, I primarily relied on Gemini 3 Flash for development tasks, and it performed admirably—handling around 90% of the work.

However, Gemini 3 Flash (and even Gemini 3 Pro) doesn’t always follow Agents and Skills instructions well, often ignoring documentation, which sometimes led to subpar results requiring manual fixes.

There was one instance where a bug stumped me for hours with Gemini 3 Flash. Only after switching to GPT-5.3-Codex did I solve it in half an hour.

I suspect Gemini 3.1 Pro or Claude 4.6 Opus could have handled it too, so the lesson is clear: Go straight for the strongest model. Otherwise, endless debugging becomes a nightmare.

That said, AI costs are a real concern. Using only top-tier models is a luxury reserved for big spenders. For us budget-conscious developers, cost optimization is key. Spending a few hundred per month on AI is manageable, but crossing into the thousands is excessive.

Another issue with AI-assisted programming is declining code quality.

In the manual coding era, we often blamed tight deadlines for cutting corners—skipping standards, skimping on tests. But in the AI era, that excuse no longer holds. AI is blazingly fast and can strictly adhere to coding standards, so code quality control is more critical than ever.

Use ESLint for consistent formatting, TypeScript for type safety, and Vitest for unit, integration, and end-to-end tests—the more test cases, the better. And if writing tests feels daunting, just let AI generate them.

AI isn’t afraid of errors—it thrives on feedback. Without error messages, AI assumes its code is flawless. But with test feedback, its bug-fixing efficiency and accuracy are astonishing.

This mirrors human developers: code must run to reveal its flaws.

Another often-overlooked point: In the AI era, documentation is more important than code.

No more excuses like “no time to document.” AI can handle it all.

For every design decision, feature logic, or architectural approach, have AI generate detailed documentation. This prevents knowledge loss during handoffs and ensures seamless transitions for new team members. More projects now include dedicated AI agent configurations—this is the future.

Of course, documentation must stay synced with code. After each development phase, update the docs promptly.

My current workflow:

1. Discuss the project’s framework and key designs with AI.
2. Organize these into design docs and a TODO list.
3. Have AI tackle the TODO items one by one, then verify against the design doc for gaps or improvements.

For small projects, this workflow executes flawlessly.

Example: auto-backup-database was entirely AI-developed after finalizing todo.md and design.md.

Now, let’s talk about Seedance2.0—it’s been trending lately, and for good reason. The results are stunning, with exceptional character consistency. Alongside Nano Banana Pro, it dominates video and image generation.

Admittedly, as more users flood in, the free tier has degraded, and stricter moderation makes video generation trickier. But Seedance2.0 undeniably surpasses Sora2, setting a new benchmark in video generation.

Remember when ChatGPT had a 4k context limit? When generating images required local Stable Diffusion setups and prompt engineering? When video generation demanded convoluted workflows for decent results? Now, AI advancements have solved these:

• Context limits? Modern models start at millions of tokens.
• Image generation? Nano Banana Pro delivers perfect character consistency.
• Video generation? Seedance2.0 excels.

In the AI era, waiting for models to improve often outpaces learning niche techniques.

That said, AI isn’t without pitfalls—OpenClaw, as mentioned earlier, is a cautionary tale.

OpenClaw is an open-source AI assistant, but unlike previous AI projects, it has extensive permissions and can directly manipulate everything on your computer. As a result, when used effectively, OpenClaw can greatly automate workflows and handle repetitive tasks. However, if misused, it could delete emails, projects, or even wipe your hard drive.

In short, there’s no such thing as a free lunch. While enjoying the automation benefits of AI, you must also accept the risks of accidental deletions (not to mention privacy breaches).

After all this rambling, the core message is simple: AI has already completely reshaped the logic of personal development, content creation, and workplace productivity—and it will continue to transform the world.

The AI wave is still surging forward. We’ll dive into more details in the next installment—see you then.

Latest GitHub Repositories

• auto-backup-database - 2026-02-24 23:41:10
  A server database auto-backup solution supporting local and remote backups.
• rss-image-download - 2026-02-11 18:19:27
  Automatically download images from RSS feeds, package them, and back them up.

GitHub Releases

momei

v1.7.0 - 2026-02-28 20:13:31

Summary:
Version 1.7.0 Highlights (2026-02-28)

New Features:

• Added internationalization support, optimized error handling and response formats
• Added Volcano Engine TTS/ASR protocol support, simplifying configuration
• Introduced audio metadata processing, enabling metadata-based audio info export
• Added podcast mode support, optimized script generation logic
• Implemented Live2D mascot system and CanvasNest particle effects
• Added article metadata processing, improved publishing intent parsing
• Added Memos sync configuration support
• Added AudioWorklet support for enhanced audio processing
• Introduced MCP server Cursor rules and performance testing scripts

Bug Fixes:

• Fixed ajv ReDoS security vulnerability
• Resolved TTS service stream timeout issues
• Fixed Playwright configuration command sequence
• Updated multiple dependencies for security
• Improved cloud stream error management
• Fixed language switcher type capture issues
• Enhanced mobile Live2D display support

Code Refactoring:

• Optimized HTML tag removal logic
• Refactored database table structures
• Used absolute paths for better readability
• Added WebSocket permission validation
• Improved image generation and task polling logic
• Replaced Markdown editor component
• Refactored initialization setup logic

v1.6.0 - 2026-02-21 20:14:13

Summary:
Version 1.6.0 Highlights (2026-02-21)

New Features:

• Enhanced TTS configuration UI for better UX
• Merged TTS and AI tasks, redesigned database schema
• Added detailed task info (audio duration, size, etc.)
• Integrated AI audio generation and speech recognition
• Refactored AI services into TextService and ImageService
• Added support for multiple TTS providers
• Added Gemini and Stable Diffusion image generation
• Introduced article-to-audio conversion
• Added Volcano Engine TTS support
• Added audio script optimization
• Refactored AI infrastructure with unified API paths

Bug Fixes:

• Fixed TTS documentation conflicts
• Updated AI task error handling
• Fixed auto-fill demo account type checks
• Improved TTS service timeout handling
• Enhanced Volcano Engine TTS error management
• Added TTS estimation API

Code Refactoring:

• Unified AI module structure
• Optimized code formatting and error handling
• Consolidated ASR usage logs into AITask

Key updates focus on TTS enhancements, AI service refactoring, and expanded cloud provider support.

v1.5.0 - 2026-02-14 20:09:34

Summary:
Version 1.5.0 Highlights (2026-02-14)

New Features:

• Editor Optimizations: Added sidebar compact mode, voice transcription, auto-save, and draft recovery features
• Enhanced Reading Experience: Introduced immersive reading mode with customizable font size, page width, line height, and themes
• Publishing Improvements: Added scheduled publishing, multi-platform sync (Memos/WeChat Sync), and article version management
• AI Feature Expansion: New image generation module (supports cover image generation), enhanced voice creation, and task management
• Notification System: Implemented real-time notifications using SSE with fallback polling mechanism
• Export Functionality: Added full-article export support for Markdown and ZIP formats
• Mobile Optimization: Improved article detail page layout and responsive design

Bug Fixes:

• Database: Fixed Postgres ID field overflow issue
• CLI: Cleaned up unused import variables
• UI: Fixed responsive design issues and optimized article detail page layout
• Marketing Push: Completed record operation API and fixed 404 errors
• Scheduled Tasks: Updated scheduler to support serverless environments
• Image Processing: Added click-to-enlarge preview for cover images

Code Refactoring:

• Refactored AI page components for simplified code structure
• Optimized MomeiApi mock implementation
• Updated system configuration documentation with enhanced security notes

Other Improvements:

• Added Discord platform support
• Optimized button interactions and state management
• Adjusted fallback polling interval to 120 seconds

eslint-config-cmyr

v2.1.4 - 2026-02-10 18:39:32

Summary: Version 2.1.4 (2026-02-10) Highlights:

Key Updates:

• Fixed a bug in TypeScript ESLint rules and enabled unnecessary type assertion checks

Change Details:

1. Rule Adjustment: Updated TypeScript ESLint configuration to add checks for unnecessary type assertions
2. Impact Scope: This change affects type assertion syntax in all TypeScript projects using this configuration
3. Technical Implementation: Fixed via commit b99a33f

cmyr-template-cli

v1.44.1 - 2026-02-24 23:10:16

Summary: Version 1.44.1 Highlights (2026-02-24)

Key Updates:

Bug Fixes:

• Updated GitHub Actions configuration to include scheduled time and timezone settings

v1.44.0 - 2026-02-24 21:43:56

Summary: Version 1.44.0 Highlights (Released 2026-02-24)

Key Updates:

New Features:

• Added TypeCheck initialization support for TypeScript projects

This update primarily introduces type-checking initialization support for TypeScript projects, improving compatibility with TypeScript development environments.

v1.43.3 - 2026-02-24 21:13:30

Summary: Version 1.43.3 (2026-02-24)

Key Updates:

Bug Fixes:

• Temporarily commented out lint command to resolve path errors caused by eslint-config-cmyr version updates

This update provides a temporary fix for build issues caused by eslint configuration updates.

v1.43.2 - 2026-02-14 22:37:55

Summary: Version 1.43.2 Highlights (2026-02-14)

Bug Fixes:

1. Added --no-verify option to git commits to skip hook checks
2. Adjusted libsodium-wrappers dependency from ^0.7.15 to fixed version 0.7.15 for version consistency

auto-backup-database

v1.2.2 - 2026-02-27 09:22:37

Summary:
GitHub Release Summary:

Version 1.2.2 (2026-02-27)

Bug Fixes:

• Commented out the configuration item forcing path-style access (Commit: 125c9f3)

(Note: This version includes only one bug fix, with a total word count under 500 characters.)

v1.2.1 - 2026-02-26 11:00:53

Summary:
Version 1.2.1 (2026-02-26) Summary:

Bug Fixes:

• Added pre- and post-compression file size information in backup task results

Code Refactoring:

• Improved error handling in the notification service
• Optimized the output format of compression results

v1.2.0 - 2026-02-25 09:32:42

Summary:
Version 1.2.0 Update Summary:

Key New Features:

• Introduced the BackupTaskResult type to enhance notification service logic for backup results

v1.1.1 - 2026-02-25 01:23:21

Summary:
Version 1.1.1 Update Summary (2026-02-24)

Bug Fixes:

• Added support for configuring backup output paths and configuration file paths via environment variables

v1.1.0 - 2026-02-25 00:51:10

Summary:
Version 1.1.0 Update Summary:

New Features:

1. Optimized backup service encryption logic with enhanced error handling and logging
2. Added file tool support for retrieving MIME types for OSS storage operations

Code Refactoring:

1. Improved backup service by removing unnecessary dynamic imports
2. Enhanced configuration loader and compression functionality with simplified file path handling

Latest GitHub Starred Repositories

• CaoMeiYouRen starred awesome-openclaw-usecases - 2026-03-01 02:35:37
  A collection of use cases curated by the OpenClaw community, aimed at simplifying life. This project has 14,172 stars.

• CaoMeiYouRen starred CoPaw - 2026-03-01 01:18:52
  A personal AI assistant written in Python that can be installed and deployed locally or on the cloud. Supports integration with multiple chat applications and offers extensible functionality. Currently has 2,968 stars on GitHub.

• CaoMeiYouRen starred daily_stock_analysis - 2026-02-28 10:59:49
  An LLM-driven cross-market intelligent analysis tool supporting A-shares, Hong Kong stocks, and U.S. markets. Integrates multi-source market data, real-time news analysis, and Gemini decision systems, providing visual dashboard functionality. Features multi-channel push capabilities, is completely free to use, and supports scheduled automatic execution. Developed in Python, it has nearly 15,000 stars on GitHub.

• CaoMeiYouRen starred folio-2025 - 2026-02-28 10:58:09
  This is an open-source JavaScript project with 926 stars on GitHub.

• CaoMeiYouRen starred cloud-mail - 2026-02-28 10:58:04
  An email service project based on Cloudflare, primarily developed in JavaScript, currently with 4,642 stars on GitHub. The project provides email service functionality, leveraging Cloudflare’s platform for technical implementation.

Other Blog or Newsletter Recommendations

Ruan YiFeng’s Blog

• Tech Enthusiast Weekly (Issue 386): When Delivery Riders Integrate AI - 2026-02-27 08:07:08
• Byte Family Bucket Seed 2.0 + TRAE Mastering Skills - 2026-02-14 19:51:22
• Tech Enthusiast Weekly (Issue 385): Is Musk Afraid of Chinese Automakers? - 2026-02-13 02:34:10

HelloGitHub Monthly

• HelloGitHub Issue 119 - 2026-02-28 08:10:09

Amao’s Blog

• Converting Markdown with Mermaid to docx - 2026-02-12 09:35:56

Trend Weekly

• Issue 258 - Cyber Charging - 2026-03-02 08:00:00
• Issue 257 - Happy Lunar New Year - 2026-02-19 08:00:00

Erya’s Learning Weekly

• Learning Weekly - Issue 250 - Week 07, 2026 - 2026-02-14 10:15:03
• Learning Weekly - Issue 251 - Week 08, 2026 - 2026-02-19 19:20:25
• Learning Weekly - Issue 252 - Week 09, 2026 - 2026-02-27 09:21:02

Summary

This week’s updates and highlights are as shown above. Thank you for reading!
You can subscribe to Caomei Weekly updates through the following channels:

• Blog: Caomei Youren’s Blog
• Momei Blog: Momei Blog
• RSS: Caomei Weekly
• WeChat Official Account: Caomei Youren’s Backyard
• Email Subscription: Caomei Youren’s Blog Subscription

Past Issues

• Momei Blog 1.4.0 Release & Open-Source Updates | Caomei Weekly Week 06, 2026 - 2026-02-08 21:17:40
• Momei Blog 1.3.0 Release & Server Data Backup Lessons | Caomei Weekly Week 05, 2026 - 2026-02-01 23:40:42
• Momei Blog 1.2.0 Release & AI Development Practices | Caomei Weekly Week 04, 2026 - 2026-01-25 22:23:13