Vibe Coding will be dead before most people understand：AI編程工具無法取代工程師的技術判斷，其實際價值被誇大。
Like fr：從自然語言提示到結構化「符號化」的演變，將使使用者逐漸成為真正的程式設計師。
Vibe Coding vs Vibe Engineering：諷刺「憑感覺」編程的非正式實踐，質疑其技術嚴謹性。
slurp-ai：開源工具可將文檔網站轉為Markdown，提升LLM上下文處理效率。
Hot take：呼籲傳統開發者擁抱AI編程工具，避免因抗拒變革被淘汰。
Vibe coding creates a mess, but it can be solved faster：開源工具「Composer Web」解決AI生成代碼的除錯痛點，尋求社群協作。
M/L Science applied to prompt engineering：結合認知科學與強化學習的提示工程框架，主張技術民主化開源。
Oops, at least it works...：幽默諷刺開發者與PM因技術理解落差導致的溝通困境。
Vibe coding with AI feels like hiring a dev with anterograde amnesia：AI編程效率高但缺乏上下文記憶，需人工審查邏輯。
Gemini 2.5 Pro saving me from duplication hell：簡短致敬英雄精神的不朽性（可能脫離上下文）。
Anyone try SourceGraph Cody?：探討企業級AI工具在社群的低曝光度與實際應用價值。
Could you code Theme Hospital with beginner knowledge?：探討AI如何降低遊戲開發門檻及當前技術極限。
complete noob - realistic goal?：新手評估自建危機熱線排班系統的可行性，尋求技術建議。
Using flask/python and ChatGPT：利用AI輔助開發Python工具，尋求開源社群協作資源。
RA.Aid Update：開源AI編程助手新增多模型支援與本地化功能，強調透明度與控制。
Trying to re-find this application：尋找遺失的提示詞生成桌面工具，用於ChatGPT編程輔助。
Built a tool that secures the code for vibe coders：推出代碼安全審查工具，強調隱私保護與專家把關。
Debugging browser apps in the terminal with AI：開源AI代理Plandex v2新增瀏覽器應用終端除錯功能。
Work around Claude AI free plan limitations?：尋求突破免費版Claude使用限制的實用技巧。
Fiction or Reality?：探討數位平台「用戶」定義的模糊性與數據可信度問題。
I'll sell it for 1,000 bucks：社群嘲諷某AI產品定價過高與行銷手法爭議。
Agentic coding with tools is a waste：現階段手動控制上下文比全自動AI代理工具更經濟高效。
Best AI tools to analyze full codebase：徵求AI工具推薦以重構NodeJS/Express舊專案。
Fully Featured AI Coding Agent as MCP Server：推廣免費開源程式碼分析工具，媲美商業產品效能。
Screw Coding Assessments：作者發布爭議性Python工具，隱蔽自動破解編碼面試題目。

- [3. ```
Vibe Coding vs Vibe Engineering
```](#3-```
vibe-coding-vs-vibe-engineering
```)
- [4. ```
slurp-ai: Tool for scraping and consolidating documentation websites into a single MD file.
```](#4-```
slurp-ai-tool-for-scraping-and-consolidating)
- [5. ```
Hot take
```](#5-```
hot-take
```)
- [6. ```
Vibe coding creates a mess, but it can be solved faster
```](#6-```
vibe-coding-creates-a-mess-but-it-can-be-sol)
- [7. M/L Science applied to prompt engineering for coding assistan```](#7-m-l-science-applied-to-prompt-engineering-for-co)
- [8. ```
Oops, at least it works...
```](#8-```
oops-at-least-it-works-
```)
- [9. ```
"Vibe coding" with AI feels like hiring a dev with anterograde amnesia
```](#9-```
-vibe-coding-with-ai-feels-like-hiring-a-dev)
- [10. ```
Gemini 2.5 Pro saving me from  duplication hell
```](#10-```
gemini-2-5-pro-saving-me-from-duplication-h)
- [11. ```
Anyone try SourceGraph Cody?
```](#11-```
anyone-try-sourcegraph-cody-
```)
- [12. ```
Where is AI at now: could you code Theme Hospital with beginner knowledge?
```](#12-```
where-is-ai-at-now-could-you-code-theme-hos)
- [13. ```
complete noob - realistic goal?
```](#13-```
complete-noob-realistic-goal-
```)
- [14. ```
Using flask/python and ChatGPT to ammend functionality
```](#14-```
using-flask-python-and-chatgpt-to-ammend-fu)
- [15. ```
RA.Aid Update: Claude 3.7, Gemini 2.5 Pro, Custom Tools, Ollama & More!
```](#15-```
ra-aid-update-claude-3-7-gemini-2-5-pro-cus)
- [16. ```
Trying to re-find this application
```](#16-```
trying-to-re-find-this-application
```)
- [17. ```
Built a tool that secures the code for vibe coders
```](#17-```
built-a-tool-that-secures-the-code-for-vibe)
- [18. ```
Debugging browser apps in the terminal with AI
```](#18-```
debugging-browser-apps-in-the-terminal-with)
- [19. ```
Any idea to work around claude ai free plan limitations?
```](#19-```
any-idea-to-work-around-claude-ai-free-plan)
- [20. ```
Fiction or Reality?
```](#20-```
fiction-or-reality-
```)
- [21. ```
I'll sell it for 1,000 bucks.
```](#21-```
i-ll-sell-it-for-1-000-bucks-
```)
- [22. ```
Agentic coding with tools like Aider, Cline, Claude Code, etc. is a waste
```](#22-```
agentic-coding-with-tools-like-aider-cline-)
- [23. ```
Best AI tools to analyze full codebase
```](#23-```
best-ai-tools-to-analyze-full-codebase
```)
- [24. ```
Fully Featured AI Coding Agent as MCP Server
```](#24-```
fully-featured-ai-coding-agent-as-mcp-serve)
- [25. ```
Screw Coding Assessmen``` - Follow up: I wrote a free program that will solve code assessment challenges for job interviews
```](#25-```
screw-coding-assessmen```-follow-up-i-wrote)

---

## 1. ```
hot take: Vibe Coding will be dead before most people understand
``` {#1-```
hot-take-vibe-coding-will-be-dead-before-mos}

這篇文章的核心討論主題可以總結為以下幾點：

1. **AI在軟體開發中的局限性**：  
   - 作者認為AI（如LLMs）的應用範圍有限，且在整體軟體開發中創造的價值不高。  
   - 技術能力（如解決問題的能力）仍然是充分發揮AI潛力的關鍵。  

2. **工程師的不可替代性**：  
   - 對於與收入相關的核心問題，軟體工程師（SWEs）仍然是經濟上更可靠的選擇。  
   - 即使AI代碼生成能力已達到99%（如工程師的使用程度），也不會從根本上改變這一現實。  

3. **編程的本質是解決問題**：  
   - 編程不僅僅是「打字」或生成代碼，而是關於解決問題和創造價值的能力。  
   - 作者批評過度依賴AI代碼生成可能忽略真正的技術挑戰。  

**整體核心觀點**：  
AI工具（如LLMs）雖然能輔助編程，但無法取代工程師的技術判斷與問題解決能力，且其實際價值被部分誇大。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqjn4r/hot_take_vibe_coding_will_be_dead_before_most/](https://reddit.com/r/ChatGPTCoding/comments/1jqjn4r/hot_take_vibe_coding_will_be_dead_before_most/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqjn4r/hot_take_vibe_coding_will_be_dead_before_most/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqjn4r/hot_take_vibe_coding_will_be_dead_before_most/)
- **發布時間**: 2025-04-03 22:17:52

### 內容

Dead -> wide understanding that 1) it has limited applicability and generates little value in the grand scheme of software development and 2) technical skills are fundamental to using AI to i``` full potential;

Notes:

- For revenue relevant problems SWEs are and will remain the economically relevant choice

- LLM capabilities will not fundamentally change that regardless what Anthropic and OpenAI CEOs say. Engineers are already at 99% AI code generation.

- Coding was never about typing. Learn to solve problems, if you want to generate value.

---

## 2. ```
Like fr 
``` {#2-```
like-fr-
```}

這段文字的核心討論主題是：**從自然語言提示（prompting）到更結構化、特定語法的「符號化」（symboling）的演變，以及這種轉變如何讓使用者逐漸成為真正的程式設計師**。  

關鍵點包括：  
1. **自然語言提示的局限性**：作者諷刺地指出，僅用自然語言與大型語言模型（LLM）互動可能效率不足。  
2. **結構化語法的優勢**：透過特定格式、符號或語法（如「symboling」）來表達需求，能獲得更精確的結果。  
3. **使用者技能的進化**：這種轉變暗示使用者最終會掌握更接近傳統程式設計的技巧，從而成為「真正的程式設計師」。  
4. **幽默與反諷**：以「vibe coders」（氛圍型程式設計師）的未來口吻，調侃當前對自然語言提示的過度依賴，並預測未來的趨勢。  

整體而言，文章探討的是**人類與AI協作方式的技術演進**，以及這種互動如何重塑使用者的技能與角色。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqn5xm/like_fr/](https://reddit.com/r/ChatGPTCoding/comments/1jqn5xm/like_fr/)
- **外部連結**: [https://i.redd.it/6vwcs3onqmse1.jpeg](https://i.redd.it/6vwcs3onqmse1.jpeg)
- **發布時間**: 2025-04-04 00:35:17

### 內容

Ironically, by the time they're done, they'll be actual coders.

Vibe coders a year from now:

"HEY GUYZZZ, did you know if you stop using 'natural language' and instead write promp using specific prose and syntax to represent the functionality want, that you get way better resul?! I've come up with a new name for this wild style of interacting with LLMs: symboling!"

---

## 3. ```
Vibe Coding vs Vibe Engineering
``` {#3-```
vibe-coding-vs-vibe-engineering
```}

這篇文章的核心討論主題是對「vibe engineering」或「vibe coding」的調侃或批評。作者以諷刺的語氣表達對這種概念的不以為然，認為它可能比原本已經不太好的「vibe coding」更糟糕，但又帶點模棱兩可的態度（「Sort of... But not really.」），暗示這種說法可能只是玩笑或誇張的表述。整體而言，內容聚焦於對某些非正式或過於主觀的技術實踐（如憑「感覺」寫程式或設計）的質疑或幽默嘲諷。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqpu4x/vibe_coding_vs_vibe_engineering/](https://reddit.com/r/ChatGPTCoding/comments/1jqpu4x/vibe_coding_vs_vibe_engineering/)
- **外部連結**: [https://i.redd.it/vw0d41sbvnse1.png](https://i.redd.it/vw0d41sbvnse1.png)
- **發布時間**: 2025-04-04 02:16:45

### 內容

vibe engineering

just like when i thought vibe coding couldnt get any worse

Sort of... But not really.

---

## 4. ```
slurp-ai: Tool for scraping and consolidating documentation websites into a single MD file.
``` {#4-```
slurp-ai-tool-for-scraping-and-consolidating}

這段對話的核心討論主題是關於一個工具（可能名為「slurp」）的功能及其應用，特別是在處理文件（如將整個文檔網站轉換為Markdown格式並用於大型語言模型（LLM）的上下文）方面的效用。以下是具體要點：

1. **工具的功能與優勢**：  
   - 該工具能將文檔網站轉換為Markdown格式，提升LLM回應的品質，並節省時間。
   - 未來計劃是將其發展為MCP伺服器，目前已有初步成果。

2. **與其他工具（如Cursor Pro）的比較**：  
   - 討論者詢問「slurp」是否比Cursor Pro的「add docs」功能更優，或是否為開源免費的替代方案。

3. **實際應用場景**：  
   - 有人提出是否可將該工具應用於特定網站（如ArcGIS Pro的幫助文檔），測試其處理能力。

總結來說，對話圍繞著「slurp」工具的效率、開源性質、與商業軟體的差異，以及實際應用的可能性展開。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqceld/slurpai_tool_for_scraping_and_consolidating/](https://reddit.com/r/ChatGPTCoding/comments/1jqceld/slurpai_tool_for_scraping_and_consolidating/)
- **外部連結**: [https://github.com/ratacat/slurp-ai](https://github.com/ratacat/slurp-ai)
- **發布時間**: 2025-04-03 15:44:39

### 內容

I just finished working on this tonight, it's been super helpful, and saves me a lot of time. And can really up the quality of your LLM responses when you can slurp a whole doc site to MD and drop it in context. Next steps are to get it working as an MCP server. But this is a really good start.

Thanks! I've been looking for something like this.

what am i missing ?

"The question is only from people who use cursor pro"

so cursor offers add docs feature in the setting, is slurp same but better or just same but for open source community and i``` free ?

Just wondering if you think it would work on this?

https://pro.arcgis.com/en/pro-app/latest/help/main/welcome-to-the-arcgis-pro-app-help.htm

---

## 5. ```
Hot take
``` {#5-```
hot-take
```}

這篇文章的核心討論主題是：**對AI編程工具（如LLMs）的接受與適應**，並批評那些抵制這項技術的人。主要論點包括：

1. **對「氛圍編程者」（使用AI工具輔助編碼的人）的負面態度提出質疑**，認為當前對這類技術的排斥是不合理的。  
2. **AI技術的快速進步**：強調現有缺陷將在未來幾年內被解決，AI能力將大幅超越當前水平。  
3. **呼籲傳統開發者擁抱變革**：以黑莓拒絕觸控螢幕為例，警告若因過往投入（如四年學歷）而抗拒AI工具，可能被淘汰。  
4. **實用主義立場**：主張與其排斥，不如學習利用AI提升效率，適應技術趨勢。  

整體圍繞「技術變革中如何調整心態與技能」的爭議，並傾向支持AI工具的整合。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqk4c3/hot_take/](https://reddit.com/r/ChatGPTCoding/comments/1jqk4c3/hot_take/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqk4c3/hot_take/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqk4c3/hot_take/)
- **發布時間**: 2025-04-03 22:36:53

### 內容

I love development and am a developer myself but. The amount of hate for vibe coders , people who use LLMs to code is crazy.

Yeah its not there yet. 3-4 years from now AI is going to be in a completely different ballgame the issues that exist now wont later.

Yes you went to school for 4 years and spent years learning a skill and now AI can do it better than you, the sooner you accept it and learn to use it the better it will be.

Dont be like blackberry who refused to adopt to the touch screen.. move forward.

---

## 6. ```
Vibe coding creates a mess, but it can be solved faster
``` {#6-```
vibe-coding-creates-a-mess-but-it-can-be-sol}

这篇文章的核心討論主題是：  

**「如何透過工具『Composer Web』提升AI輔助編程（如Cursor、Copilot等）的效率，解決開發過程中因AI生成程式碼而陷入的除錯循環問題，並尋求開源社群的協作與反饋以擴展更多功能。」**  

具體要點包括：  
1. **AI編程的痛點**：當前開發者使用AI工具（如Cursor、Copilot）快速生成程式碼時，容易因複雜問題陷入「無限除錯循環」，需耗費大量時間手動介入。  
2. **解決方案**：作者開發了開源工具「Composer Web」，能一鍵自動收集網頁截圖、控制台日誌、網路請求等除錯資訊，直接傳送至AI聊天視窗，大幅節省手動操作時間。  
3. **開源協作呼籲**：邀請社群參與維護與擴展功能（如支援iOS模擬器、AWS日誌或其他IDE），並開放反饋管道（GitHub、Discord）。  
4. **目標**：讓「vibe coding」（直覺式AI輔助開發）更流暢無阻。  

整體聚焦於「工具如何橋接AI生成程式碼與實際開發效率之間的落差」，並強調開源協力的重要性。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqec4q/vibe_coding_creates_a_mess_but_it_can_be_solved/](https://reddit.com/r/ChatGPTCoding/comments/1jqec4q/vibe_coding_creates_a_mess_but_it_can_be_solved/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqec4q/vibe_coding_creates_a_mess_but_it_can_be_solved/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqec4q/vibe_coding_creates_a_mess_but_it_can_be_solved/)
- **發布時間**: 2025-04-03 17:54:48

### 內容

I've been using Cursor, Co-Pilot, ChatGPT, Claude and what not since quite some time now, and we are at a stage where we can just "vibe code" whole apps from idea to execution in a few promp```.

I tried this personally to create some side projec that solved little problems for me. But I always got stuck at a point where it just goes into an infinite loop of issues and can't solve the issue by ielf.

Well, I'm a developer, so it's easier for me to dive into the code and solve the problem myself, but that would take a hell lot of time to understand all the code AI wrote for me. If I keep wanna "vibing", I would just give it the screenshot of my current webpage view along with the console logs, and even network reques if i connected to some APIs.

But even this took quite some manual effort and time, so I decided to solve this problem for myself when I created Composer Web

It solves that problem seamlessly by sending all your logs, reqs, and screenshot of your webpage altogether directly to your cursor chat, in just one-click and LESS THAN A SECOND.

I made this open source and it kinda blew up. So I'm looking for people to help me maintain this and build it further for more use cases like iOS Simulator logs, AWS Cloud Console logs and even extend the support to other open source IDEs like Cline, Aider, etc.

I'm also open to any feedback and suggestions you have for me. So feel free to comment here, or ping me on the discord given on the github repo

Hope it makes your vibe coding flow even easier and hassle-free :D

---

## 7. M/L Science applied to prompt engineering for coding assistan``` \{#7-m-l-science-applied-to-prompt-engineering-for-co}

這篇文章的核心討論主題是作者提出的一種創新的「元認知工作流程架構」（Engineered Meta-Cognitive Workflow Architecture），旨在透過結構化的提示工程（prompt engineering）技術，提升人工智慧模型的決策與問題解決能力。以下是主要重點：

1. **技術突破**：  
   - 作者聲稱開發出一種革命性的提示框架，結合「美人魚流程圖」（mermaid flowgraph）和「克萊恩記憶銀行」（Cline Memory Bank）等概念，強化AI的推理與記憶機制。
   - 框架整合了蒙特卡羅樹搜索（Monte Carlo Tree Search）、馬可夫決策過程（Markov Decision Processes）和強化學習（Reinforcement Learning）等理論，並應用於實際的提示設計中。

2. **框架核心機制**：  
   - 明確的決策樹模擬（Explicit Tree Search Simulation）  
   - 嵌套評估循環（Nested Evaluation Cycles）  
   - 記憶系統（Memory Mechanism）  
   - 漸進式複雜性（Progressive Complexity）  
   - 元認知提示（Meta-Cognition Prompting）  
   - 量化反饋循環（Quantified Feedback Loop）  
   - 時間限制探索（Time-Boxed Exploration）  

3. **開源與理念**：  
   - 作者選擇以Apache 2.0許可開源此框架，強調技術民主化，認為AI工具的普及比商業利益更重要。  
   - 呼籲尊重知識產權，要求使用者給予署名（accreditation）。  

4. **個人動機**：  
   - 作者自述缺乏正規教育背景，但希望透過此工具幫助類似處境的人（如農村或經濟弱勢者）改變生活。  
   - 反駁潛在批評，鼓勵將負面能量轉化為建設性行動。  

總結：文章核心是介紹一種結合認知科學與強化學習的AI提示工程方法，並探討其技術細節、應用潛力及開源哲學，同時反映作者對技術普惠性的主張。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqia0f/ml_science_applied_to_prompt_engineering_for/](https://reddit.com/r/ChatGPTCoding/comments/1jqia0f/ml_science_applied_to_prompt_engineering_for/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqia0f/ml_science_applied_to_prompt_engineering_for/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqia0f/ml_science_applied_to_prompt_engineering_for/)
- **發布時間**: 2025-04-03 21:20:56

### 內容

I wanted to take a moment this morning and really soak your brain with the details.

https://entrepeneur4lyf.github.io/engineered-meta-cognitive-workflow-architecture/

Recently, I made an amazing breakthrough that I feel revolutionizes prompt engineering. I have used every search and research method that I could find and have not encountered anything similar. If you are aware of it's existence, I would love to see it.

Nick Baumann @ Cline deserves much credit after he discovered that the models could be prompted to follow a mermaid flowgraph diagram. He used that discovery to create the "Cline Memory Bank" prompt that set me on this path.

Previously, I had developed a set of 6 prompt frameworks that were part of what I refer to as Structured Decision Optimization and I developed them to for a tool I am developing called Prompt Daemon and would be used by a council of diverse agen``` - say 3 differently trained models - to develop an environment where the models could outperform their training.

There has been a lot of research applied to this type of concept. In fact, much of these ideas stem from Monte Carlo Tree Search which uses Upper Context Bounds to refine decisions by using a Reward/Penalty evaluation and "pruning" to remove invalid decision trees. [see the poster]. This method was used in AlphaZero to teach it how to win games.

In the case of my prompt framework, this concept is applied with what is referred to as Markov Decision Processes - which are the basis for Reinforcement Learning. This is the absolute dumb beauty of combining Nick's memory system BECAUSE it provides a project level microcosm for the coding model to exploit these concep perfectly and has the added benefit of applying a few more of these amazing concep like Temporal Difference Learning or continual learning to solve a complex coding problem.

Here is a synopsis of it's mechanisms -

Explicit Tree Search Simulation: Have the AI explicitly map out decision trees within the response, showing branches it explores and prunes.
Nested Evaluation Cycles: Create a prompt structure where the AI must propose, evaluate, refine, and re-evaluate solutions in multiple passes.
Memory Mechanism: Include a system where previous problem-solving attemp``` are referenced to build experience over multiple interactions.
Progressive Complexity: Start with simpler problems and gradually increase complexity, allowing the framework to demonstrate improved performance.
Meta-Cognition Prompting: Require the AI to explain i reasoning about i reasoning, creating a higher-order evaluation process.
Quantified Feedback Loop: Use numerical scoring consistently to create a clear reward signal the model can optimize toward.
Time-Boxed Exploration: Allocate specific compute budget for exploration vs. exploitation phases.

Yes, I should probably write a paper and submit it to Arxiv for peer review. I may have been able to hold it close and developed a tool to make the rest of these tools catch up.

Deepseek probably could have stayed closed source... but they didn't. Why? Isn't profit everything?

No, says I... Furtherance of the effectiveness of the tools in general to democratize the power of what artificial intelligence means for us all is of more value to me. I'll make money with this, I am certain. (my wife said it better be sooner than later). However, I have no formal education. I am the epitome of the type of person in rural farmland or a someone who's family had no means to send to university that could benefit from a tool that could help them change their life. The value of that is more important because the universe pays it's deb``` like a Lannister and I have been the beneficiary before and will be again.

There are many like me who were born with natural intelligence, eidetic memory or neuro-atypical understanding of the world around them since a young age. I see you and this is my gift to you.

My framework is released under an Apache 2.0 license because there are cowards who steal the ideas of others. I am not the one. Don't do it. Give me accreditation. What did it cost you?

I am available for consultation or assistance. Send me a DM and I will reply. Have the day you deserve! :)

***

Since this is Reddit and I have been a Redditor for more than 15 years, I fully expect that some will read this and be offended that I am making claims... any claim... claims offend those who can't make claims. So, go on... flame on, sir or madame. Maybe, just maybe, that energy could be used for an endeavor such as this rather than wasting your life as a non-claiming hater. Get at me. lol.

---

## 8. ```
Oops, at least it works...
``` {#8-```
oops-at-least-it-works-
```}

這則短文的**核心討論主題**是**程式開發者與專案經理（PM）之間的溝通隔閡**，具體體現在：

1. **技術理解落差**：PM 查看程式碼時因缺乏技術背景而無法理解內容（"You lost me there"），凸顯非技術角色與開發者在專業語言上的斷層。  
2. **職能分工差異**：暗示 PM 的職責聚焦於管理層面，而非深入技術細節，反映開發過程中不同角色關注點的衝突。  
3. **幽默式諷刺**：透過簡短對話，以幽默方式調侃職場中常見的「技術 vs. 非技術」溝通困境。  

延伸議題可能包括：團隊協作效率、技術文件的重要性，或跨角色溝通策略的改進。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqi87s/oops_at_least_it_works/](https://reddit.com/r/ChatGPTCoding/comments/1jqi87s/oops_at_least_it_works/)
- **外部連結**: [https://i.redd.it/tl6zpq37emse1.png](https://i.redd.it/tl6zpq37emse1.png)
- **發布時間**: 2025-04-03 21:18:44

### 內容

>PM looking at my code

You lost me there

---

## 9. ```
"Vibe coding" with AI feels like hiring a dev with anterograde amnesia
``` {#9-```
-vibe-coding-with-ai-feels-like-hiring-a-dev}

這篇文章的核心討論主題是：  
**「Vibe coding」的雙面性——AI輔助編程的效率與局限性**  

1. **AI的生產力與吸引力**：  
   - 作者肯定AI（如程式碼生成工具）的日常應用，能提升效率並簡化工作，稱之為「Vibe coding」（直覺式/氛圍驅動的編寫模式）。  

2. **關鍵痛點與挫敗感**：  
   - **記憶力與上下文理解不足**：AI容易遺忘先前的修改（如手動修復的程式碼），甚至刪除或改動原本正常的代碼，因其缺乏對程式邏輯的深層理解。  
   - **過度依賴精確指令**：需「餵食」明確程式片段才能避免無謂的重寫，互動體驗類似與「不斷更換的新手開發者」合作。  

3. **平衡使用的呼籲**：  
   - 作者強調不否定AI的價值，但提醒開發者需理解程式原理，或請專業人員審查，避免完全依賴AI而忽略代碼背後的邏輯。  

**總結**：文章探討AI輔助編程的便利性與當前技術限制（如記憶斷片、上下文理解薄弱），並提倡「工具與知識並重」的務實態度。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jpqoqo/vibe_coding_with_ai_feels_like_hiring_a_dev_with/](https://reddit.com/r/ChatGPTCoding/comments/1jpqoqo/vibe_coding_with_ai_feels_like_hiring_a_dev_with/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jpqoqo/vibe_coding_with_ai_feels_like_hiring_a_dev_with/](https://www.reddit.com/r/ChatGPTCoding/comments/1jpqoqo/vibe_coding_with_ai_feels_like_hiring_a_dev_with/)
- **發布時間**: 2025-04-02 22:58:48

### 內容

I really like the term "Vibe coding". I love AI, and I use it daily to boost productivity and make life a little easier. But at the same time, I often feel stuck between admiration and frustration.

It works great... until the first bug.

Then, it star``` forgetting things like a developer with a 5-min memory limit. You fix something manually, and when you ask the AI to help again, it might just delete your fix. Or it changes code that was working fine because it doesnt really know why that code was there in the first place.

Unless you spoon-feed it the exact snippet that needs updating, it tends to grab too much context and suddenly, its rewriting things that didnt need to change. Each interaction feels like talking to a different developer who just joined the project and never saw the earlier commi```.

So yeah, vibe coding is cool. But sometimes I wish my coding partner had just a bit more memory, or a bit more... understanding.

UPDATE: I dont want to spread any hate here AI is great.

Just wanted to say: for anyone writing apps without really knowing what the code does, please try to learn a little about how it works or ask someone who does to take a look. But of course, in the end, everything is totally up to you

---

## 10. ```
Gemini 2.5 Pro saving me from  duplication hell
``` {#10-```
gemini-2-5-pro-saving-me-from-duplication-h}

這句簡短的話語「Heroes never die!」的核心討論主題可以總結為：  

**「英雄精神的不朽與永恆」**  

這句話傳達了英雄的影響力或精神不會因時間或死亡而消逝，強調了英雄主義的持久性與超越性。它可能隱含對犧牲、奉獻或典範人物的致敬，並激勵人們銘記或傳承其價值。  

（若此語出自特定文化背景，如遊戲《鬥陣特攻》中角色「慈悲」的台詞，則可能延伸討論「遊戲中英雄角色的象徵意義」或「虛擬與現實英雄的連結」。）

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jq4jef/gemini_25_pro_saving_me_from_function_duplication/](https://reddit.com/r/ChatGPTCoding/comments/1jq4jef/gemini_25_pro_saving_me_from_function_duplication/)
- **外部連結**: [https://i.redd.it/16pns1uklise1.gif](https://i.redd.it/16pns1uklise1.gif)
- **發布時間**: 2025-04-03 08:31:28

### 內容

Heroes never die!

---

## 11. ```
Anyone try SourceGraph Cody?
``` {#11-```
anyone-try-sourcegraph-cody-
```}

這段討論的核心主題是：  

1. **某企業級解決方案的知名度與社交媒體曝光度的反差**：討論者提到該解決方案在企業領域似乎是重要的參與者（"big player"），但在社交媒體上卻鮮少被提及，並詢問其他人是否有相關使用經驗。  
2. **對該解決方案功能的關注**：特別提到它具備「MCP整合」（可能指某種技術或平台整合能力），暗示技術兼容性或擴展性可能是討論的潛在焦點。  

總結：主要探討一個在企業中重要但社交媒體聲量低的解決方案，並尋求實際使用評價，同時提及其技術整合特性（如MCP）。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqmk37/anyone_try_sourcegraph_cody/](https://reddit.com/r/ChatGPTCoding/comments/1jqmk37/anyone_try_sourcegraph_cody/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqmk37/anyone_try_sourcegraph_cody/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqmk37/anyone_try_sourcegraph_cody/)
- **發布時間**: 2025-04-04 00:11:51

### 內容

This appears to be a "big player" in enterprise but hardly hear anything about it on social media. any experiences?

Has MCP integration too

---

## 12. ```
Where is AI at now: could you code Theme Hospital with beginner knowledge?
``` {#12-```
where-is-ai-at-now-could-you-code-theme-hos}

這篇文章的核心討論主題是：**探討在不同條件下（從初學者到中階開發者，搭配AI工具），利用現有AI技術（如ChatGPT等）能開發出多複雜的遊戲**。具體分為三個層次：

1. **AI模型的獨立能力**：當前頂尖AI模型（如GPT）能否「一次性」生成完整遊戲？  
2. **初學者的潛力**：僅具備基礎AI操作能力的新手，在一週內能否借助AI工具開發出類似《主題公園》《主題醫院》的經典遊戲？  
3. **中階開發者的效率**：有程式背景（如軟體工程師）的人搭配AI資源，短期內能完成多複雜的專案？  

文中隱含的關鍵問題是：**AI如何降低開發門檻**，以及其當前技術的極限所在。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqlj6f/where_is_ai_at_now_could_you_code_theme_hospital/](https://reddit.com/r/ChatGPTCoding/comments/1jqlj6f/where_is_ai_at_now_could_you_code_theme_hospital/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqlj6f/where_is_ai_at_now_could_you_code_theme_hospital/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqlj6f/where_is_ai_at_now_could_you_code_theme_hospital/)
- **發布時間**: 2025-04-03 23:32:05

### 內容

I'm trying to get a sense of how much AI can do without having massive amoun``` of expertise. Considering that with effective prompting, AI can teach the necessary expertise or guide you through how to use it effectively, it seems like a competent, computer and AI literate person can already create some cool stuff.

I have no idea how big the code base is of games I grew up loving. Theme Park and Theme Hospital were two favourites.

Could a game like that be built by a novice with AI competence and a week with chatgpt and whatever add-ons would help?

What in your opinion is the biggest /ost complex game that could be created:

A) in one shot by the leading models today

B) by a novice with a week and resources

C) by an intermediate coder (eg software developer or computer science grad) with a week and resources

Thanks!

---

## 13. ```
complete noob - realistic goal?
``` {#13-```
complete-noob-realistic-goal-
```}

这篇文章的核心討論主題是：  

**一位沒有程式開發經驗的新手詢問，是否有可能自行開發一個用於危機熱線排班管理的應用程式，並評估其構想的可行性與現實性。**  

具體討論重點包括：  
1. **開發可行性**：作者缺乏技術背景，想知道從零開始學習並開發這樣一個應用程式是否現實，或是否過於雄心勃勃。  
2. **應用程式核心功能需求**：  
   - 員工資料庫（角色、技能、可用性）  
   - 輪班模板（24/7 重複排班）  
   - 每班次/角色的最低人力需求  
   - 休假請求系統與衝突檢測  
   - 人力狀態儀表板與警示功能  
3. **尋求建議**：希望獲得技術上的指導或方向，以判斷是否應繼續投入時間自學開發，或尋求其他解決方案（如現成工具或外包）。  

整體而言，這是一個關於「非技術人員評估自建專業工具可行性」的求助討論。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqkyfp/complete_noob_realistic_goal/](https://reddit.com/r/ChatGPTCoding/comments/1jqkyfp/complete_noob_realistic_goal/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqkyfp/complete_noob_realistic_goal/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqkyfp/complete_noob_realistic_goal/)
- **發布時間**: 2025-04-03 23:09:44

### 內容

Hi all, i have no coding experience and am not particularly tech savy. i really want to build an app to help our team track schedules for a crisis hotline. here's a basic outline i was happy with below. Im willing to dedicate some time trying to learn this, but i want to understand first if whether i'm asking is even realistic or too ambitious to end up with anything remotely competent? Appreciate any help you can offer **Core Features:**



* **Key Componen```:**

   * Staff database with roles, skills, and availability

   * Shift templates for recurring 24/7 coverage

   * Minimum staffing requiremen``` by shift/role

   * PTO request system with conflict detection

   * Dashboard with staffing aler```

---

## 14. ```
Using flask/python and ChatGPT to ammend functionality
``` {#14-```
using-flask-python-and-chatgpt-to-ammend-fu}

這段文字的核心討論主題是：  

**「如何利用AI輔助開發Python工具（如Flask）來優化LLM任務，並尋找相關的線上資源或社群支持」**  

具體要點包括：  
1. **個人技術轉變**：從消耗時間在社交媒體/新聞，轉向用Python（結合AI輔助）開發工具，尤其是優化LLM（如ChatGPT）任務。  
2. **技術工具選擇**：使用Flask框架提升專案的可攜性（portability）。  
3. **尋求資源與社群**：詢問是否有相關的線上資源或社群合作機會，以進一步支持此類開發。  

作者同時表達對當前平台（推測是發文所在的論壇或社群）是否適合作為起點的疑問，顯示對「學習與協作管道」的關注。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqjlty/using_flaskpython_and_chatgpt_to_ammend/](https://reddit.com/r/ChatGPTCoding/comments/1jqjlty/using_flaskpython_and_chatgpt_to_ammend/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqjlty/using_flaskpython_and_chatgpt_to_ammend/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqjlty/using_flaskpython_and_chatgpt_to_ammend/)
- **發布時間**: 2025-04-03 22:16:24

### 內容

I am currently finding myself with time I used to spend on news or social media allocated instead to developing simple python scrip with AI assistance (I used to make basic apps with python myself so I dont purely vibe code) to ammend the LLM tasks I run on ChatGPT and have found Flask is a nice way to make my projec portable. Is there a community effort or set of online resources which might compliment my effor```? Is this the best place to start?

---

## 15. ```
RA.Aid Update: Claude 3.7, Gemini 2.5 Pro, Custom Tools, Ollama & More!
``` {#15-```
ra-aid-update-claude-3-7-gemini-2-5-pro-cus}

这篇文章的核心討論主題是 **RA.Aid 最新版本（v0.17.0 至 v0.22.0）的功能更新與改進**，重點包括以下面向：  

1. **擴展的模型支援**：新增多種大型語言模型（如 Claude 3.7、Gemini 2.5 Pro、Fireworks AI、Groq、Deepseek 等）。  
2. **本地模型整合**：強化 Ollama 支援，提升隱私與控制權。  
3. **自訂工具擴展性**：透過 MCP 協定和 `--custom-tools` 整合外部工具。  
4. **透明度與控制**：新增 `--show-thought` 標籤，顯示 AI 的推理過程。  
5. **開發者友善改進**：提供完整的 API 文件（OpenAPI 規格）與 Docusaurus 建置的說明網站。  
6. **實用性增強**：如從文件載入提示、追蹤 token 使用量、成本監控等功能。  
7. **社群貢獻**：感謝多位開發者的協作。  

最終呼籲使用者升級體驗（`pip install -U ra-aid`）並回饋意見。整體聚焦於 **開源 AI 編程助手的功能強化與社群協作生態**。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jpxtvw/raaid_update_claude_37_gemini_25_pro_custom_tools/](https://reddit.com/r/ChatGPTCoding/comments/1jpxtvw/raaid_update_claude_37_gemini_25_pro_custom_tools/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jpxtvw/raaid_update_claude_37_gemini_25_pro_custom_tools/](https://www.reddit.com/r/ChatGPTCoding/comments/1jpxtvw/raaid_update_claude_37_gemini_25_pro_custom_tools/)
- **發布時間**: 2025-04-03 03:44:02

### 內容

Hey all

For those unfamiliar, RA.Aid is a completely free and open-source (Apache 2.0) AI coding assistant designed for intensive, command-line native agent workflows. We've been busy over the past few releases (v0.17.0 - v0.22.0) adding some powerful new features and improvemen```!

New LLM Provider Support

We've expanded our model compatibility significantly! RA.Aid now suppor```:

Anthropic Claude 3.7 Sonnet (claude-3.7-sonnet)
Google Gemini 2.5 Pro (gemini-2.5-pro-exp-03-25)
Fireworks AI models (fireworks/firefunction-v2, fireworks/dbrx-instruct)
Groq provider for blazing fast inference of open models like qwq-32b
Deepseek v3 0324 models

Local Model Power

Run powerful models locally with our new & improved Ollama integration. Gain privacy and control over your development process.

Extensibility with Custom Tools

Integrate your own scrip``` and external tools directly into RA.Aid's workflow using the Model-Completion-Protocol (MCP) and the --custom-tools flag. Tailor the agent to your specific needs!

Transparency & Control

Understand the agent's reasoning better with \<think\> tag support (`--show-though````), now with implicit detection for broader compatibility. See the thought process behind the actions.

</> Developer Focus

We've added comprehensive API Documentation, including an OpenAPI specification and a dedicated documentation site built with Docusaurus, making it easier to integrate with and understand RA.Aid's backend.

⚙️ Usability Enhancemen```

Load promp``` or messages directly from files using --msg-file.
Track token usage across sessions with ra-aid usage latest and ra-aid usage all.
Monitor cos``` with the --show-cost flag.
Specify a custom project data directory using --project-state-dir.

Community Contributions

A massive thank you to our amazing community contributors who made these releases possible! Special shout-ou``` to:

Ariel Frischer
Arshan Dabirsiaghi
Benedikt Terhechte
Guillermo Creus Botella
Ikko Eltociear Ashimine
Jose Leon
Mark Varkevisser
Shree Varsaan
Will Bonde
Yehia Serag
arthrod
dancompton
patrick

Try it Out!

Ready to give the latest version a spin?

pip install -U ra-aid

We'd love to hear your feedback! Please report any bugs or suggest features on our GitHub Issues. Contributions are always welcome!

Happy coding!

---

## 16. ```
Trying to re-find this application
``` {#16-```
trying-to-re-find-this-application
```}

這段文字的核心討論主題是：  
**「尋找一款用於生成程式碼（vibe coding）提示詞（prompt）的桌面應用程式」**  

具體要點包括：  
1. 作者在尋找一款曾使用過、但忘記名稱的桌面應用程式。  
2. 該工具的主要功能是幫助生成提示詞（prompt），尤其適用於在 ChatGPT 等環境中進行程式碼相關的互動（而非像 Cursor 這類 IDE 工具）。  
3. 作者已嘗試過 Perplexity 等搜尋方式，但仍無法找到該應用程式的名稱或連結。  
4. 最終目的是希望有人能識別出這款工具並提供相關資訊。  

關鍵詞：**提示詞生成工具、vibe coding、桌面應用程式、ChatGPT 輔助程式設計**。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqig2j/trying_to_refind_this_application/](https://reddit.com/r/ChatGPTCoding/comments/1jqig2j/trying_to_refind_this_application/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqig2j/trying_to_refind_this_application/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqig2j/trying_to_refind_this_application/)
- **發布時間**: 2025-04-03 21:28:10

### 內容

Trying to re-find this application, I have tried using perplexity and all sor. Basically it was a good desktop application someone made that helped to generate promp for vibe coding. But I cant remember the name of the site or anything. It helped especially for say using prompting inside ChatGPT rather than something like cursor. Does anyone know the app I am talking about? I just cant find the link to it.

---

## 17. ```
Built a tool that secures the code for vibe coders
``` {#17-```
built-a-tool-that-secures-the-code-for-vibe}

這篇文章的核心討論主題是：  

**介紹一個幫助開發者在代碼上線前進行安全檢查的工具**，其特點包括：  
1. **手動代碼審查**：由安全專家識別漏洞，確保代碼安全性。  
2. **隱私保護**：採用「零存儲政策」，審查後自動刪除代碼。  
3. **解決痛點**：避免因趕工上線而忽略安全問題。  

最終目的是推廣此工具，並希望對開發者有所幫助。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqi64a/built_a_tool_that_secures_the_code_for_vibe_coders/](https://reddit.com/r/ChatGPTCoding/comments/1jqi64a/built_a_tool_that_secures_the_code_for_vibe_coders/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqi64a/built_a_tool_that_secures_the_code_for_vibe_coders/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqi64a/built_a_tool_that_secures_the_code_for_vibe_coders/)
- **發布時間**: 2025-04-03 21:16:13

### 內容

We recently built atooldesigned to help developers secure their code before it goes live. We know that rushing to launch can lead to security oversigh```.

It offers manual code reviews by security exper``` that spot vulnerabilities and ensuring your code is safe. Plus, with our zero-storage policy, your code is auto-deleted after the audit for complete privacy.

Hopefully you guys will find it useful

---

## 18. ```
Debugging browser apps in the terminal with AI
``` {#18-```
debugging-browser-apps-in-the-terminal-with}

這篇文章的核心討論主題是：  
**Plandex v2（開源AI編碼代理）的更新與新功能介紹**，重點包括：  
1. **錯誤修復與穩定性提升**：解決初期版本中的模型錯誤等問題。  
2. **新增功能**：  
   - **自動調試瀏覽器應用**：整合Chrome的日誌與錯誤輸出至終端機，簡化調試流程（無需額外配置）。  
3. **擴展模型支援**：新增內建模型與模型包。  
4. **鼓勵用戶回饋**：邀請使用者重新嘗試並提出意見或問題。  

整體聚焦於版本改進、實用性增強及用戶體驗優化。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqh5r5/debugging_browser_apps_in_the_terminal_with_ai/](https://reddit.com/r/ChatGPTCoding/comments/1jqh5r5/debugging_browser_apps_in_the_terminal_with_ai/)
- **外部連結**: [https://youtu.be/VCegxOCAPq0](https://youtu.be/VCegxOCAPq0)
- **發布時間**: 2025-04-03 20:30:26

### 內容

Hey all,

Its been a couple weeks since I launched Plandex v2 in this sub: [https://www.reddit.com/r/ChatGPTCoding/commen/1jgmbsa/plandex\_v2\_an\_open\_source\_ai\_coding\_agent\_with/](`https`://www.reddit.com/r/ChatGPTCoding/commen/1jgmbsa/plandex_v2_an_open_source_ai_coding_agent_with/)

Since then, most importantly, a lot of bugs have been squashed. If you just so happened to have tried the v2 right after launch and ran into model errors or other issues, those are most likely fixed now, so give it another shot!

While the main focus has been on fixes and reliability, there are also new features and some new built-in models and model packs.

Feature-wise, I think the coolest one is a new ability to automatically debug browser applications. When launching browser apps, Plandex can now do so in a way that forwards console logs and errors to the terminal so they can be used in debugging. This feature requires Chrome, but other than that, no configuration is neededit just works.

Please me know if you have any though``` or questions!

---

## 19. ```
Any idea to work around claude ai free plan limitations?
``` {#19-```
any-idea-to-work-around-claude-ai-free-plan}

這段文字的核心討論主題是：  
**「如何在免費方案達到使用限制後，繼續發送訊息或更有效率地使用免費方案」**  

具體要點包括：  
1. **突破免費方案限制的需求**：使用者因無法付費升級，希望找到方法在超過免費額度後繼續發送訊息。  
2. **當前困境**：免費額度用盡後需等待（例如4小時）才能再次使用，影響即時溝通。  
3. **尋求替代方案或技巧**：請求有經驗者分享解決方法，例如：  
   - 繞過限制的變通辦法（workaround）。  
   - 更高效利用免費額度的策略。  

整體聚焦於「免費資源限制下的實用解決方案」。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqbci3/any_idea_to_work_around_claude_ai_free_plan/](https://reddit.com/r/ChatGPTCoding/comments/1jqbci3/any_idea_to_work_around_claude_ai_free_plan/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqbci3/any_idea_to_work_around_claude_ai_free_plan/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqbci3/any_idea_to_work_around_claude_ai_free_plan/)
- **發布時間**: 2025-04-03 14:33:43

### 內容

I like to use it but still can not afford to upgrade, so is there any idea or a work around to be able to post a new message after the free plan exceeded the limi```? or any idea how to handle using free plan efficiently? it end very soon and i have to wait about 4 hours to be able to post. so please, if any ideas that would be much appreciated from your experience with these situation.

---

## 20. ```
Fiction or Reality?
``` {#20-```
fiction-or-reality-
```}

這組對話的核心討論主題是關於**用戶身份的真實性與唯一性**，尤其在數位平台（如數據庫或AI服務）中如何定義和識別「獨特用戶」。具體涉及以下要點：

1. **用戶數據的歧義性**  
   - 數據庫和日誌可能將單次訪問視為「用戶」，但投資者審計時若要求「唯一用戶」，結果可能不同（例如重複登錄或一次性使用者被歸為同一人）。

2. **人工操縱的可能性**  
   - 透過AI自動化創建多重帳戶（如留言中的玩笑暗示），可能虛膨用戶數量，影響平台數據的真實性。

3. **用戶行為的實際模式**  
   - 多數用戶僅短暫使用服務（如ChatGPT）後不再活躍，導致「活躍用戶」與「名義用戶」之間的落差。

總結：對話聚焦於數位環境中「用戶」定義的模糊性，以及商業層面（如投資審計）與技術層面（如日誌記錄）的衝突，同時隱含對數據可信度的質疑。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jpimhk/fiction_or_reality/](https://reddit.com/r/ChatGPTCoding/comments/1jpimhk/fiction_or_reality/)
- **外部連結**: [https://i.redd.it/perwzt2cfdse1.jpeg](https://i.redd.it/perwzt2cfdse1.jpeg)
- **發布時間**: 2025-04-02 15:06:23

### 內容

As far as the database and the logs show, that is a user! Now once the investors audit for unique users, the answer changes.

More like automate with AI multiple account creations ;)

Interesting

Most of them login once again after using chatgpt for once, those are all the same user, maybe some new but not much.

---

## 21. ```
I'll sell it for 1,000 bucks.
``` {#21-```
i-ll-sell-it-for-1-000-bucks-
```}

這組對話的核心討論主題是：  

1. **對「Manos Pro」產品價值的質疑**：用戶認為該產品不值得購買（尤其是有ChatGPT Plus的情況下），並批評其定價過高（「not worth $5」）。  
2. **等待名單的爭議**：有人提到收到邀請的速度極快（10分鐘），質疑其他人是否真的遇到獲取困難，暗示行銷手法可能誇大稀缺性。  
3. **嘲諷與否定態度**：最後一則回應（「HAHAHAHAH.... NO!」）強化了對產品的不認同，可能針對推銷話術或過度宣傳的反感。  

總結：對話聚焦於對「Manos Pro」的負面評價，包括性價比、等待名單真實性，以及用戶間的嘲諷互動。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqqc2e/ill_sell_it_for_1000_bucks/](https://reddit.com/r/ChatGPTCoding/comments/1jqqc2e/ill_sell_it_for_1000_bucks/)
- **外部連結**: [https://i.redd.it/5fib51q6znse1.png](https://i.redd.it/5fib51q6znse1.png)
- **發布時間**: 2025-04-04 02:35:29

### 內容

What?

\> the second offer is for you to buy the Manos Pro for yourself, and the third offer is for you to buy the Manos Pro for yourself

Manus isn't worth $5 at this point if you have ChatGPT plus. Also I got my invite 10 minutes after joining the waitlist. Are people having trouble getting it?

HAHAHAHAH.... NO!

---

## 22. ```
Agentic coding with tools like Aider, Cline, Claude Code, etc. is a waste
``` {#22-```
agentic-coding-with-tools-like-aider-cline-}

這篇文章的核心討論主題是：**「使用AI編程代理工具（如Claude Code）與手動提供精確上下文的方法相比，在成本、速度和代碼質量方面的效率差異」**。  

具體要點包括：  
1. **成本問題**：AI代理工具（如Claude Code）因冗長的系統提示、文件讀取等額外操作導致API費用高昂（範例中成本相差5倍）。  
2. **速度與效率**：代理工具因不必要的上下文處理（如文件摘要、工具來回調用）而速度較慢，而手動精選上下文能更快完成任務。  
3. **輸出質量**：過多無關的上下文可能干擾模型，降低代碼生成質量，而聚焦的提示能產出更準確的結果。  
4. **當前適用性**：作者認為現階段手動控制上下文更高效，但未來若模型成本降低、能力提升，代理工具可能更實用。  

總結：**在現有技術與成本限制下，直接提供精確上下文的手動方法比全自動代理工具更經濟、快速且可靠**。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jqoagl/agentic_coding_with_tools_like_aider_cline_claude/](https://reddit.com/r/ChatGPTCoding/comments/1jqoagl/agentic_coding_with_tools_like_aider_cline_claude/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jqoagl/agentic_coding_with_tools_like_aider_cline_claude/](https://www.reddit.com/r/ChatGPTCoding/comments/1jqoagl/agentic_coding_with_tools_like_aider_cline_claude/)
- **發布時間**: 2025-04-04 01:18:33

### 內容

Using an agent like Cline, Aider, Claude Code, etc. to code is:

Significantly more expensive (if you are paying for API use)
Slower
Worse quality

For comparison I tried to add a small feature to my codebase using two methods using Claude Sonnet 3.7:

Method 1: I use a script that le me quickly select relevant files from my codebase for a given task and copies their conten to the clipboard along with a directory tree. I pasted this into a conversation and gave it a task. It returned the code changes and I pasted them into vscode. Total cost: $0.05

Method 2: I open Claude Code in my code folder and ask it to add the same feature. It does i``` thing, churns for while, and makes the needed changes. Total cost: $0.28

Both methods were able to get the correct answer in a single shot, but Claude Code cost over 5x as much while being slower. This really adds up when you are working with these tools all day long.

Agentic coders add a ton of overhead with lengthy system promp```, back and forth tool use, reading unnecessary files, writing summaries of what it did, etc. Mostly all these extra tokens are spent doing what is actually the easy part for a human to do: identifying the relevant context. Less than 1/5 of the tokens are actually spent writing code.

Based on the premise that the more focused your prompt, the better the output will be, all these extra tokens also have the potential of confusing the model and reducing the overall quality of the final output.

In the future when models are amazing and cost basically nothing I could see myself opting for the agentic approach more often. Right now I'm not saying these tools don't have a place, but for day to day coding I find manually prompting the model with just the right context to be quicker, cheaper, and more accurate.

---

## 23. ```
Best AI tools to analyze full codebase
``` {#23-```
best-ai-tools-to-analyze-full-codebase
```}

這篇文章的核心討論主題是：  
**「尋求AI工具推薦與建議，以協助改進現有的NodeJS/Express網頁遊戲專案程式碼並新增功能」**  

具體要點包括：  
1. **目標**：重構舊專案（基於NodeJS和Express的網頁遊戲），優化程式碼並擴充功能。  
2. **需求**：適合此任務的AI工具推薦（例如GitHub Copilot、RooCode等）或特定模型。  
3. **補充**：任何相關的實用技巧建議。  

整體聚焦於「如何利用AI工具提升開發效率與程式品質」。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jpxewk/best_ai_tools_to_analyze_full_codebase/](https://reddit.com/r/ChatGPTCoding/comments/1jpxewk/best_ai_tools_to_analyze_full_codebase/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jpxewk/best_ai_tools_to_analyze_full_codebase/](https://www.reddit.com/r/ChatGPTCoding/comments/1jpxewk/best_ai_tools_to_analyze_full_codebase/)
- **發布時間**: 2025-04-03 03:27:00

### 內容

Hello,

I have a game I coded a few years ago which I want to revisit. I plan to improve the code and add some features. It's a relatively simple web app using NodeJS and Express.

Which AI tools would you recommend to help me with this? It could be a tool like CoPilot/RooCode or a specific model. Any tips will be appreciated.

Thank you.

---

## 24. ```
Fully Featured AI Coding Agent as MCP Server
``` {#24-```
fully-featured-ai-coding-agent-as-mcp-serve}

這段文章的核心討論主題是：  
**介紹一個免費、功能強大的程式碼分析代理工具（Agent）**，並強調以下重點：  

1. **功能與優勢**：  
   - 該工具效能媲美或超越商業產品（如 Windsurf's Cascade 或 Cursor's agent），但完全免費。  
   - 採用**語言伺服器（language server）**技術（而非 RAG）來分析程式碼，能更精確理解大型程式碼庫。  

2. **使用方式**：  
   - 可作為 **MCP 伺服器**運行，與 Claude Desktop 免費搭配使用。  
   - 也支援 Gemini，但需 Google Cloud API 金鑰（新用戶可獲 300 美元贈金）。  

3. **開源與易用性**：  
   - 以 **GPL 授權**釋出，程式碼託管於 GitHub（附連結）。  
   - 標榜「超級容易運行」，降低使用門檻。  

總結：文章旨在推廣一個開源、高效且免費的程式碼分析工具，並說明其技術特點與應用場景。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jpoara/fully_featured_ai_coding_agent_as_mcp_server/](https://reddit.com/r/ChatGPTCoding/comments/1jpoara/fully_featured_ai_coding_agent_as_mcp_server/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jpoara/fully_featured_ai_coding_agent_as_mcp_server/](https://www.reddit.com/r/ChatGPTCoding/comments/1jpoara/fully_featured_ai_coding_agent_as_mcp_server/)
- **發布時間**: 2025-04-02 21:16:05

### 內容

We've been working like hell on this one: a fully capable Agent, as good or better than Windsurf's Cascade or Cursor's agent - but can be used for free.

It can run as an MCP server, so you can use it for free with Claude Desktop, and it can still fully understand a code base, even a very large one. We did this by using a language server instead of RAG to analyze code.

Can also run it on Gemini, but you'll need an API key for that. With a new google cloud account you'll get 300$ as a gift that you can use on API credi```.

Check it out, super easy to run, GPL license:

https://github.com/oraios/serena

---

## 25. ```
Screw Coding Assessmen``` - Follow up: I wrote a free program that will solve code assessment challenges for job interviews
``` {#25-```
screw-coding-assessmen```-follow-up-i-wrote}

這篇文章的核心討論主題是：  
**作者開發並免費發布了一個Python程式，旨在以隱蔽方式（不被瀏覽器檢測到）自動解決線上編碼測驗題目（如HackerRank、LeetCode），使用者需提供OpenAI API金鑰來運作。**  

重點包括：  
1. **工具目的**：繞過技術面試中的編碼測驗，強調「隱蔽性」。  
2. **技術基礎**：依賴OpenAI API生成解答，需使用者自備金鑰。  
3. **免責聲明**：作者不承擔因使用此工具被發現後的責任，暗示可能違反平台規則。  
4. **開源與免費**：程式碼公開於GitHub，供任何人存取使用。  

簡言之，這是一個爭議性的自動化工具，挑戰技術招聘流程的倫理與規則。

- **Reddit 連結**: [https://reddit.com/r/ChatGPTCoding/comments/1jq7wc4/screw_coding_assessments_follow_up_i_wrote_a_free/](https://reddit.com/r/ChatGPTCoding/comments/1jq7wc4/screw_coding_assessments_follow_up_i_wrote_a_free/)
- **外部連結**: [https://www.reddit.com/r/ChatGPTCoding/comments/1jq7wc4/screw_coding_assessments_follow_up_i_wrote_a_free/](https://www.reddit.com/r/ChatGPTCoding/comments/1jq7wc4/screw_coding_assessments_follow_up_i_wrote_a_free/)
- **發布時間**: 2025-04-03 11:14:40

### 內容

So a few days ago I made a post on here (https://www.reddit.com/r/ChatGPTCoding/commen```/1jonjwg/im_writing_a_free_program_that_will_silently/utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)

about a program I was going to write to solve code assessment challenges in a stealthy can't-be-seen-by-the-browser way. I have done so and have released the first version of this code for free. It's written in python and will solve code assessment (hacker rank, leetcode) assessment questions for you. You just need an openAI API key.

Link to the github: [https://github.com/programmingTomato/ScrewCodingAssessmen](`https`://github.com/programmingTomato/ScrewCodingAssessmen)

Also, just to be clear, if you use this program and get caught I am not responsible for any punishmen``` you incur. Have fun and code responsibly!

---

# 總體討論重點

以下是25篇文章的核心重點條列式總結，並附上對應的文章錨點連結與逐條細節說明：

---

### 1. [AI在軟體開發中的局限性](#anchor_id_1)  
- **核心觀點**：AI工具（如LLMs）無法取代工程師的技術判斷  
  - 創造價值有限，技術能力仍是關鍵  
  - 代碼生成效率高但忽略真實問題解決  
  - [全文摘要](#1-hot-take-vibe-coding-will-be-dead-before-mos)  

### 2. [自然語言提示的演進](#anchor_id_2)  
- **結構化語法優於自然語言**  
  - 諷刺「氛圍編程」過度依賴自然語言  
  - 使用者將演進為傳統程式設計師  
  - [全文摘要](#2-like-fr-)  

### 3. [Vibe Engineering的批判](#anchor_id_3)  
- **對非正式編程實踐的嘲諷**  
  - 質疑憑「感覺」寫程式的主觀性  
  - 模棱兩可的幽默表述  
  - [全文摘要](#3-vibe-coding-vs-vibe-engineering)  

### 4. [slurp-ai工具功能](#anchor_id_4)  
- **文檔轉換與LLM整合**  
  - 將網站轉為Markdown提升AI回應品質  
  - 開源替代商業工具（如Cursor Pro）  
  - [全文摘要](#4-slurp-ai-tool-for-scraping-and-consolidating)  

### 5. [AI編程工具的接受度](#anchor_id_5)  
- **呼籲擁抱AI技術**  
  - 批評抵制者如黑莓拒觸控螢幕  
  - AI缺陷將快速改善，效率提升  
  - [全文摘要](#5-hot-take)  

### 6. [Composer Web工具](#anchor_id_6)  
- **解決AI生成代碼的除錯循環**  
  - 自動收集日誌、截圖加速除錯  
  - 開源協作擴展功能（如iOS模擬器支援）  
  - [全文摘要](#6-vibe-coding-creates-a-mess-but-it-can-be-sol)  

### 7. [元認知提示工程架構](#anchor_id_7)  
- **結合強化學習的提示框架**  
  - 整合蒙特卡羅樹搜索、馬可夫決策  
  - 開源Apache 2.0授權，強調普惠性  
  - [全文摘要](#7-m-l-science-applied-to-prompt-engineering-for-co)  

### 8. [技術與非技術溝通隔閡](#anchor_id_8)  
- **PM與工程師的語言斷層**  
  - 幽默諷刺專業理解落差  
  - 反映協作效率問題  
  - [全文摘要](#8-oops-at-least-it-works-)  

### 9. [AI編程的記憶缺陷](#anchor_id_9)  
- **上下文理解不足的挫敗感**  
  - AI易遺忘修改，需明確指令  
  - 類似與「新手開發者」合作  
  - [全文摘要](#9-vibe-coding-with-ai-feels-like-hiring-a-dev)  

### 10. [Gemini 2.5 Pro的應用](#anchor_id_10)  
- **避免重複代碼的實用性**  
  - 簡短提及工具解決代碼重複問題  
  - [全文摘要](#10-gemini-2-5-pro-saving-me-from-duplication-h)  

### 11. [SourceGraph Cody的評價](#anchor_id_11)  
- **企業工具的低調存在**  
  - 詢問MCP整合的實際體驗  
  - 社交媒體聲量與企業重要性反差  
  - [全文摘要](#11-anyone-try-sourcegraph-cody-)  

### 12. [AI開發遊戲的極限](#anchor_id_12)  
- **初學者能否用AI建經典遊戲**  
  - 探討《主題醫院》的開發可行性  
  - 技術門檻與AI輔助效益  
  - [全文摘要](#12-where-is-ai-at-now-could-you-code-theme-hos)  

### 13. [新手開發排班系統](#anchor_id_13)  
- **非技術人員的可行性評估**  
  - 需求：輪班模板、衝突檢測、儀表板  
  - 自學或外包的抉擇  
  - [全文摘要](#13-complete-noob-realistic-goal-)  

### 14. [Flask

2025-04-04-rising

討論重點

1. AI在軟體開發中的局限性

2. 自然語言提示的演進

3. Vibe Engineering的批判

4. slurp-ai工具功能

5. AI編程工具的接受度

6. Composer Web工具

7. 元認知提示工程架構

8. 技術與非技術溝通隔閡

9. AI編程的記憶缺陷

10. Gemini 2.5 Pro的應用

11. SourceGraph Cody的評價

12. AI開發遊戲的極限

13. 新手開發排班系統

14. [Flask

文章核心重點

目錄

New LLM Provider Support

Local Model Power

Extensibility with Custom Tools

Transparency & Control

</> Developer Focus

⚙️ Usability Enhancemen```

Community Contributions

Try it Out!

討論重點​

1. AI在軟體開發中的局限性​

2. 自然語言提示的演進​

3. Vibe Engineering的批判​

4. slurp-ai工具功能​

5. AI編程工具的接受度​

6. Composer Web工具​

7. 元認知提示工程架構​

8. 技術與非技術溝通隔閡​

9. AI編程的記憶缺陷​

10. Gemini 2.5 Pro的應用​

11. SourceGraph Cody的評價​

12. AI開發遊戲的極限​

13. 新手開發排班系統​

14. [Flask​

文章核心重點​

目錄​

New LLM Provider Support

Local Model Power

Extensibility with Custom Tools

Transparency & Control

</> Developer Focus

⚙️ Usability Enhancemen```

Community Contributions

Try it Out!

討論重點

1. AI在軟體開發中的局限性

2. 自然語言提示的演進

3. Vibe Engineering的批判

4. slurp-ai工具功能

5. AI編程工具的接受度

6. Composer Web工具

7. 元認知提示工程架構

8. 技術與非技術溝通隔閡

9. AI編程的記憶缺陷

10. Gemini 2.5 Pro的應用

11. SourceGraph Cody的評價

12. AI開發遊戲的極限

13. 新手開發排班系統

14. [Flask

文章核心重點

目錄