Knowledge is power, info-gap is money!
record (in sports etc)Indie Developers Going OverseasHelping indie developers with quality information that they getNarrowing the information gap, released every Monday.
The weekly magazine is open for submissions and welcomesposting (e.g. to a newsgroup or mailing list)The following:
- open source project
- Creative tools/productivity tools
- Tutorials for Indie Developers Going Overseas
- Quality articles/tweets/videos
This weekly magazine is published by@weijunextscheduled service (train, bus etc)
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Machine as man, man as machine?
Yesterday, Li Jigang posted a dynamic in Instant:
I’m going to give a shout out to this dynamic, because I had a similar feeling the other day. I was using an unfamiliar Shadcn component to get Claude to do what I wanted directly on top of a Cursor, and after I wrote it, I realized, if the AI wrote this feature without me knowing anything about it, is it still a feature I’m developing? Obviously not.
If I take credit for developing this feature myself and advertise it on social media as “I made xxx feature in 10 seconds”, am I switching roles with the AI? The AI becomes the brain, it’s the one who thinks, and I become the ‘tool’ doing the repetitive work – hitting the tab key again and again and posting to social media.
Those keen to claim the fruits of AI production as their own will find themselves falling into the trap of instant gratification:
- Surface understanding: over-reliance on AI to generate code leads to a superficial understanding of the problem
- Degradation of capacity: problem-solving thinking muscles are gradually atrophied by lack of exercise
- False confidence: AI-generated code gives us the false impression that we’ve mastered a technology
In fact, after using AI programming in depth, it’s easy to find that AI can perfectly realize a single function, but it can’t do anything about complex needs, and it needs the human brain to plan and split. For example, recently I used AI to do automatic translation and verification scripts, once the script exceeded 500 lines, it was like a mountain of shit, I couldn’t change it, and neither could AI.
“AI has limitations” is the consensus on the Internet, which means that humans need to maintain their professionalism in order to truly command AI. if even the basics are lost, and we are satisfied with instant feedback, the result is likely to turn out to be an exchange of roles between us and AI.
Therefore, I am also writing a word of encouragement with you in the immediate future:
open source project
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A very effective AI image repair tool that supports a variety of repair functions:
- Image coloring
- low-light enhancement
- Watermark Removal
- Object removal
- Snow removal
- 去雾
- Deblurring Pre-trained model weights can be downloaded from HuggingFace, and the open source repository provides the full training and inference code.
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A JSON translation tool that supports 40+ languages, the author open-sourced a complete AI-assisted PRD documentation + source code based on Next.js, for those who do not write code but want to develop the product has great reference value.
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A new authorization library is out. Better Auth is a framework-agnostic TypeScript authentication (and authorization) library. It provides a complete set of functionality out-of-the-box and includes an ecosystem of plugins that allow you to add advanced functionality in a short period of time with minimal code.
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This React component is used to render Markdown into beautiful social media images. In addition, the project includes a built-in WEB Editor that can be deployed with a single click and used as an online Markdown to poster image editor.
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Born out of InternLM’s pre-training process, MinerU is a high-quality PDF conversion tool that can:
- Preserve the complete structure of the original PDF document (including headings, paragraphs, lists, etc.)
- Intelligent extraction of various types of content (including text, images and their explanatory text, tables and their captions, and mathematical formulas)
- Automatic format conversion
- Built-in intelligent OCR function
- Supports multiple output formats such as Markdown, JSON, etc.
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By adding a thought chain to Claude as well, the answer will show the reasoning process as well, and the accuracy becomes much better.
Usage:
- Copy the latest version of the reflection protocol from the model_instructions folder
- Creating a new project in Claude.ai
- Paste the command into the Custom Commands section
- Install browser extensions (Chrome supported, Firefox version in development)
Tool Recommendations
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This is interesting, generate a receipt with your GitHub info.
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Lets you visualize and design your React UI like Figma, runs natively, and integrates with Tailwind CSS.
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Going to Sea Tutorials/Technical Tutorials/Resource Sharing
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How to enable Alipay and WeChat subscription payments in Stripe?
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GitHub Actions Advanced: How to Customize Workflow Parameters with User Inputs
Author: I GitHub actions to use the most in addition to automatic deployment, is used to run crawlers, manually set up some rules, click a button to have a foreign IP crawler, for some of the domestic request frequency limit and not limited to foreign requests for a very good use, and you can open any number of, about the same as a distributed crawler cluster (the remaining use of the length of time enough)