# AI-Assisted Coding May Increase the Value of Experienced Software Engineers

DevFeed: [AI-Assisted Coding May Increase the Value of Experienced Software Engineers](<https://devfeed.tech/articles/ai-won-t-replace-good-engineers-it-ll-make-them-invaluable-25212.md>)

Original publisher: [Read original article](<https://kau.sh/blog/ai-engineering-humans/>)

Author: Kaushik Gopal

Published: 2025-06-21T00:00:00Z

Content type: opinion

Language: en

Sources: [Kaushik Gopal's Site](<https://devfeed.tech/sources/kaushik-gopal-s-site.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [coding assistant](<https://devfeed.tech/topics/coding-assistant.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [coding](<https://devfeed.tech/topics/coding.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assisted-coding](<https://devfeed.tech/tags/ai-assisted-coding.md>), [coding](<https://devfeed.tech/tags/coding.md>), [coding-assistant](<https://devfeed.tech/tags/coding-assistant.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>)

## AI overview

The author argues that AI-assisted coding is more effective for engineers with strong communication, judgment, technical fundamentals, and software craftsmanship. The article also argues that clean architecture, clear naming, and maintainable code help AI coding assistants perform better, while noting that software engineering's main value lies in decisions and tradeoffs rather than typing code.

## Source excerpt

I just read a good piece by the Nilenso crew on AI-assisted coding for teams that can't get away with vibes. Blog post title aside, it helped me synthesize my own thoughts better on a question that keeps coming up: will AI replace all software engineers?". Not only won't it replace us, it'll make the best engineers even more valuable. Here's why. AI amplifies what you already have ## AI is a multiplier. To make AI good, get good yourself. AI is a multiplier. If you are a small coefficient, you won't see much gain. If you are a negative coefficient, expect negative gains. 🎯. The best engineers extract far more value from AI tools. Why? Because they already have the fundamentals that AI needs to work with: They communicate technical ideas clearly - AI responds to good prompts, and good prompts require clear thinking. They have "the mechanic's touch" - that intuitive sense for what makes good systems work. They steer AI toward better solutions. They have strong fundamentals - they can quickly evaluate AI suggestions and know when something's off. They have taste - AI mirrors your sensibilities. Experienced engineers get better results because they ask for better things. I've seen this repeatedly. Give the same AI tool to a junior and senior engineer. The senior gets dramatically better results. Not because they're smarter, but because they know what questions to ask. What helps humans helps AI ## Here's where it gets interesting. From the article: Messy code confuses AI too Our AI coding assistant struggled to complete a task of equal difficulty on the latter codebase when compared to the former! This is likely because the messier codebase was as confusing for the AI as it would be for a human. Clean architecture, good naming, clear patterns - everything that makes codebases maintainable for humans also makes them effective for AI. So if you want to be more effective with AI, you still need all the craftsmanship skills that good software engineers have always needed. T