How Developers Are Using AI Tools to Automate Routine Coding Tasks? #176643
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probably just stay as optional helper for now |
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hey @Shirley332, really interesting take. i’ve been noticing the same shift , tasks that used to take a long time, like writing boilerplate code or small test cases, are becoming way faster with AI tools. i think AI-assisted coding is likely going to become a standard part of the workflow over the next few years, especially for repetitive stuff. things like generating functions, testing small components, or writing docs can save a lot of time. that said, for complex logic and architecture decisions, human oversight is still crucial. tools like Copilot and Tabnine are great for speeding things up, but i see them more as a helper than a replacement. at least for now. overall, it feels like AI is moving from optional to almost essential for everyday dev tasks. |
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Discussion Type
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Discussion Content
Lately, I’ve been exploring how AI tools are changing the way developers handle repetitive coding and testing work.
It’s interesting how quickly things are shifting — what used to take hours can sometimes now be done in a few minutes with the right automation setup.
Some developers I’ve talked to are using AI to:
Generate basic functions or boilerplate code.
Automatically test small components before pushing commits.
Write documentation or inline comments based on code logic.
I recently read a detailed article on Techzical.com
that breaks down real examples of how developers are combining tools like GitHub Copilot, Tabnine, and AI-based workflow builders to streamline daily tasks.
It’s more of a practical take rather than just another “AI hype” piece, so it’s worth checking out if you’re interested in automation in real dev work.
What do you all think — will AI-assisted coding become a standard part of our workflow soon, or will it stay as an optional helper for now?
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