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We rely so much on the internet today that it has become a basic necessity. Itβs so deeply intertwined with our daily lives that having no internet now feels like losing something essential.
I feel like the same thing is starting to happen with AI.
AI is slowly becoming intertwined with our daily workflows, especially in software development, just like the internet did years ago. I often think about how people used to write code back in the day without having anything to quickly refer to,no Google, no Stack Overflow, no instant search, nothing.
Now weβre seeing a similar shift with AI, especially in this LLMs / AI Agents era. I sometimes wonder how people used to build entire applications without relying on any AI tools, not even simple things like AI tab completions.
And honestly, weβre already starting to feel the shift, much like how people back then felt when the internet was introduced.
Btw, the Internet was officially introduced in 1983 -> 42 years ago π
What are your thoughts on this ?
Is it recommended to use LLMs for converting natural language text to SQL query? π€
For instance,
converting 'Show me the names of all customers in New York' into
SELECT name FROM customers WHERE city = 'New York'Pre-commit Hooks πͺ
If you're tired of manually running linting or formatting commands every time before you commit and push your codeβ¦
You can use pre-commit hooks which is part of Gitβs native hook system
A pre-commit hook is a script that runs automatically whenever you run
git commit.
It can run tasks like:
π linting
π formatting
π running tests
π checking types
π validating files
This will help you avoid manual work
Pre-commit tools
For Node.js based projects Husky (usually used with lint-staged) is quite popular
For python based projects pre-commit framework is popularRepost from Tech Nerd
As developers, we seriously need to stop underestimating marketing.
@selfmadecoder
If you are a python dev looking to build a UI quickly without needing JavaScript or complex frontend libraries, check out Streamlit.io.
As a developer, at some point you realize itβs not just about knowing a specific tech stack. Itβs more about looking at a problem, breaking it down into smaller sub-problems, framing it clearly, and simplifying it to a level where it can be solved through logic or code. In the end, your job is to connect the dots and build a solution.
For Devs aiming to launch an AI startup, check out this guy's content. It's really inspiring.
https://www.youtube.com/watch?v=RZwM4vTvQhQ&t=559s
https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/synthid__gemini-detection.mp4#t=0.1
Upload an image to Gemini, and it can quickly tell you if Google AI created or changed it by looking for the SynthID mark.
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