The short answer is no, but it will change how we work. AI is a tool that handles boilerplate and syntax, leaving us more room to focus on architecture and problem-solving. The future belongs to the "AI-augmented" developer who knows how to prompt and review code efficiently.
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I absolutely stand by this logic. Engineering and coding in my opinion, are two different experiences. AI can code but it can't engineer.
The day AI learns to (PROPERLY) fix itself then I'll believe it can replace engineers, not a moment before that.
Yeah, however, it's sometimes, quite overwhelming for students like me, that are still in colleges, to cope up with the current trends where there are so much options to try but also a lot of confusion which one to choose..
Well said! AI is a powerful assistant, not a replacement. The focus is definitely shifting from just writing syntax to understanding architecture and system design.
AI is more likely to automate repetitive coding tasks than completely replace software engineers. Skilled developers will still be needed for problem-solving, system design, creativity, and managing complex software projects.
I completely agree with this perspective. AI is becoming a powerful tool for automation and productivity, but software engineering is still deeply tied to problem-solving, system design, communication, and critical thinking. Developers who learn how to use AI effectively will likely stand out more in the industry.
Agree with the "force multiplier" take. The thing I keep coming back to is that AI handles the predictable parts really well — scaffolding, boilerplate, pattern matching. But the messy parts (debugging a production issue at 2am with incomplete logs, deciding whether to refactor or rewrite, navigating ambiguous product requirements) still need a human brain. The bar for entry-level work is going up for sure, but the ceiling for experienced engineers isn't going anywhere.
The 'AI-augmented' developer is exactly the right framing. AI is great at giving you a head start on boilerplate, but it completely lacks the business context and architectural foresight that humans bring to the table. It’s a force multiplier, not a replacement.
Well said. AI won’t replace developers who can think critically, design systems, and solve real problems — it’ll amplify them
it'll definitely raise the bar for entry-level, but deep systems knowledge isn't going anywhere.
AI is definitely changing software engineering, but I think the real advantage still belongs to developers who understand systems deeply. Anyone can generate code now, but knowing how to architect scalable apps, debug edge cases, optimize performance, and review AI-generated output critically is what separates engineers from copy-pasters. The future feels less like “AI vs developers” and more like “developers with AI vs developers without it.”
I think if developers relied 100 percent on AI than they will become prompt engineers
Prompting is becoming a core skill. It is not just about asking for code; it is about knowing how to validate the output against best practices and security standards.
The "boilerplate" phase of coding is dying, and that is a good thing. I would much rather spend my energy on security protocols and performance optimization than writing another basic CRUD operation.
We are moving from being manual coders to systems orchestrators. AI is like the move from Assembly to high-level languages; it just raises the abstraction layer.
Quality > Quantity, always. A deep dive into a single complex problem shows much more 'senior' thinking than a broad list of surface-level clones.
AI won't replace engineers, but it will certainly replace those who refuse to use it. It is about evolving our workflow to focus on high-level architecture rather than getting bogged down in syntax.
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The framing of "replace" misses the more interesting question: which parts of the engineering role get absorbed first, and what grows in their place?
My bet — the parts that shrink fastest are the ones that are already mechanical: scaffolding new projects, writing boilerplate, translating specs into CRUD. The parts that grow: judgment calls, systems thinking, knowing when not to build something.
The engineers I've seen thrive are the ones treating AI like a force multiplier on their decision-making, not a threat to their typing speed.