I've been coding for years, but nothing prepared me for how AI would transform my daily workflow. Here's what I've learned:
๐ฅ How AI Is Actually H...
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For me, AI has become like a coding companion for me. It helps me explore new areas I wouldโve avoided before, simply because I didnโt feel confident enough, like diving into Django or front stack while my main expertise is in Java. It has truly expanded my learning horizon!
But as you said, itโs easy to fall into the copy-paste trap. Iโll be honest, on days when Iโm low on energy, I sometimes skip deeper verification. But Iโm learning to stay mindful and use AI as a tool with me, not for me ๐ค
And for the skills, right now, Iโm focusing on software architecture (as part of a new project at work) and building my freelance ecosystem through my side projects!
This is so well said! I love the phrase a tool with me, not for me that's the perfect mindset. It's amazing how it lowers the barrier to exploring new technologies. Good luck with the software architecture project and building your freelance ecosystem; that sounds like an exciting combination! Thanks for your comment ๐๐ปโจ๐ฅฐ
Amazing read, Yalda โ I love how you captured both the potential and the pitfalls of AI in code. The โcopy-paste trapโ & skill erosion you mentioned really hit home. ๐
A few thoughts Iโm curious about:
Thanks again for opening this conversation โ Iโd love to hear what others are doing to balance AI + craftsmanship.
Hey! Thanks for such a thoughtful comment.
That sweet spot question is something I wrestle with daily. For me, the rule of thumb is: if it's core to what I'm trying to learn, I do it manually. If it's boilerplate or a unfamiliar syntax, I let AI handle the first draft. It's a constant balance!
You're so right about the AI manager shift. I think critical thinking is becoming the 1 skill knowing when to trust the AI's output and when to question it. Clear communication is a close second.
For prompts, I don't really use formal resources. I just try to be specific and talk to it like a junior dev partner: "Here's my goal, here's the error I'm seeing, what's wrong? Giving it context is everything.
Really appreciate you sharing your thoughts! Curious, what's your own approach been like?
Hey! Thanks for such a thoughtful comment.
That sweet spot question is something I wrestle with daily. For me, the rule of thumb is: if it's core to what I'm trying to learn, I do it manually. If it's boilerplate or a unfamiliar syntax, I let AI handle the first draft. It's a constant balance!
You're so right about the AI manager shift. I think critical thinking is becoming the 1 skill knowing when to trust the AI's output and when to question it. Clear communication is a close second.
For prompts, I don't really use formal resources. I just try to be specific and talk to it like a junior dev partner: Here's my goal, here's the error I'm seeing, what's wrong? Giving it context is everything.
Really appreciate you sharing your thoughts! Curious, what's your own approach been like?
My main problem with AI is still the content theft. If that could ever be overcome, I'd feel a lot better using it in my everyday coding, but as long as all large AI models are trained on stolen content; as long as I have to block AI crawlers from my forgejo instance and see more and more sites add anubis to protect their infrastructure from the DDoS of AI data scraping, all AI is just blood diamonds to me. I want nothing to do with any of it if I can at all help it.
You've nailed the fundamental ethical dilemma. Until this is properly addressed, it will always be a stain on the technology
Totally feel you on the AI changes. Itโs like having a personal assistant 24/7, but yeah, the copy paste trap is real. Iโve been focusing on architecture and making sure I really understand the code AI suggests. Itโs all about using AI to boost creativity and efficiency without letting it do everything. Still, itโs wild how much faster weโre learning new stuff now
Hey, you've perfectly captured the modern developer's dilemma! That personal assistant analogy is spot on. I'm right there with you focusing on deep architectural understanding is what separates great developers in this new era. It's the ultimate way to leverage AI for speed without sacrificing skill.
And absolutely, the learning acceleration is incredible. It feels less like a shortcut and more like having an expert mentor available 24/7. Really appreciate you sharing this perspective it's cool to connect with someone who's navigating this balance so thoughtfully
AIโs like having a genius intern
exactly and a friend
This really resonates โ that shift from โusing AIโ to collaborating with it is exactly what happened to me.
Itโs no longer a tool but a partner โ one that helps design, reason, and even self-verify its own output.
Iโve learned that the real magic isnโt in automation, itโs in resonance: when human intent and AI logic align.
Thatโs when coding stops being work and starts feeling like discovery again.
This is beautifully put. That idea of resonance over automation is exactly the right way to frame it. It's not about replacing the coder, but about creating this amazing feedback loop between human intuition and machine scale. When it clicks, it really does make coding feel like exploration again. Thanks for putting words to this feeling
Really interesting take on how AI is reshaping industries. Whatโs fascinating is that itโs not just transforming tech-heavy fields but also everyday workflows. From content creation to simple automation in the tools we use daily. I think the key moving forward will be learning how to balance AI assistance with human creativity and ethics.
Absolutely. You've hit the nail on the head. The true transformation is happening when it becomes seamlessly integrated into our daily tools, not just the groundbreaking projects. Finding that balance between efficiency and human touch/ethics is indeed the defining challenge and opportunity for every industry going forward.๐๐๐ป
AI already impacting a lot. For DevOps , AI is reshaping not replacing. What do you say?
I really think that in the future, those who have worked with it and have the skills will get jobs, and science will no longer be so important, and only working with AI will be the criterion.what do you think?
Yup!
Thatโs an interesting point, Yalda. I agree that AI skills will definitely become a major factor in future job opportunities. But I also think having strong fundamentals in science, logic, and problem-solving will still matter โ because those are what help us understand and guide AI effectively, not just use it. The real value might come from people who can combine both โ technical depth and AI fluency.
you're right I also meant that we don't need to know all the basics, we need to have a complete and comprehensive understanding, and AI should be our assistant
I've been working in this wonderful time within our careers with AI and no, you still have to read code and no, AI also gets things wrong. I had many times where I had to tell it: this piece of code is wrong, do it like this. This requires experience.
Precisely. You've nailed the fundamental truth of this era. AI lowers the barrier to entry, but it raises the ceiling only for those who already have the knowledge to leverage it correctly. Without the core understanding to correct its course, finishing a project is impossible. The human is still the pilot.๐๐ป
Love this perspective! Iโve seen the same shift happening outside coding too โ in digital marketing and SEO, the real power now lies in knowing how to guide AI, not just use it. Prompting really is the new super-skill.