Keagan Ladds’ Post

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Staff Software Engineer @ Tesla 🚀 | Entrepreneur | Turning Coffee & Code into Business Value ☕💻 | On a Mission to Drive Positive Change

Are AI tools quietly replacing developers? Last week, I came across something that made me spit out my coffee—AI tools that don’t just assist developers but can scaffold entire apps from a simple text prompt. Tools like Bolt.new and v0.dev have redefined what’s possible. With just a browser and some well-crafted prompts, they generate full-stack applications in minutes. Want to add a new feature or refine UI styling? Just ask. It’s one of the most mind-bending experiences I’ve ever had as a developer—and honestly, a little nerve-wracking. If AI can spin up a functioning app from a business requirement, where does that leave us developers? Are we still needed? Well, after diving in, here’s what I found: these tools are amazing productivity boosters, but they’re far from perfect. They often suggest APIs that don’t exist, write messy or inefficient code, and even introduce bugs that they can’t fix themselves. A seasoned developer is still indispensable for debugging, optimizing, and guiding the process. But the potential is undeniable. These tools can accelerate the journey from idea to MVP, making it easier than ever to bring ideas to life. Like it or not, AI coding assistants are here to stay—and embracing them might be the best move we can make. What do you think? Are tools like these a threat to developers, or a new superpower we should all be using? How have you seen AI tools impact your workflow? Let’s discuss 👇 #AIInDevelopment #SoftwareEngineering #ProductivityBoost #DeveloperTools #FutureOfWork #AIRevolution #CodingLife #TechInnovation

Ajinkya Jagtap

Versatile Developer | AI/ML | MERN Stack | Full Stack | Bridging the Gap Between AI and Web

3mo

It's about making more and more abstraction layers like writing code in a language similar to English like python and now it is a totally natural language interface.

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AI is able to create a project based on a template but is not able to do more complex work such as organizing deployment, configuring CI flows (especially in tools where the main API is the visual user interface), obtaining environment variables. Sooner or later at some stage of the project life (and 90% of those existing on the market are in the maintenance phase) it will turn out that direct commitment of a software engineer is essential.

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Alexander Lazarin

Credit Risk and Data Science Consulant for Consumer Fintech

3mo

I feel like there's sort of complexity boundary that's still hard for AI to overcome. To make things more difficult, the boundary is non-intuitive—it's hard to tell in advance where it is. When you face it, you keep trying to nudge your AI model to overcome it, but the AI just keeps failing or suggesting clumsy workarounds.

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Calvin Nel

Software Developer

2mo

I have found AI to be interesting and terrifying, all the times I found it terrifying was because I knew too little. So glad you did a deep dive into this. I think using them as spring boards to start projects is going to increase the amount of mvp products and services out there, hopefully they all get made into full products.

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