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AI Writes Code Now
What are (y)our developers going to do?
With the rise of powerful AI models over the past year or two, development has changed fast. Tools like GitHub Copilot and ChatGPT are writing code, generating components, and even debugging for us. It’s faster, more efficient, and honestly, pretty wild to see in action.
But here’s what we’re seeing in our dev team —AI doesn’t replace developers. It changes what we focus on for better client outcomes.
Developers Still Make The Architectural Calls
Our team understand why something’s built, how it fits into the broader system, and what trade-offs make sense. AI can generate code, sure—but it doesn’t grasp business logic, user intent, required integrations, or edge cases like those inside these 4 walls?
It can’t (yet?) think long-term about scalability or security. And it definitely can’t manage client expectations, lead delivery, or ensure quality end-to-end.
Where The Real Value Lies Now
That’s where the real value lies now—not just in writing lines of code, but in solving real-world problems involving context, strategy, and experience.
AI can assist, but it’s developers who bridge the gap between a client’s needs and the technical solution. The PeriscoPe dev team ask the right questions, weigh constraints, and make calls that machines simply aren’t equipped to handle.
The Limitations
AI also has limitations when it comes to maintaining and evolving a project over time. Codebases grow, requirements shift, and priorities change. Someone has to be accountable for making sure that the system doesn’t just work today, but still works six months—or six years—from now. That kind of foresight and ownership doesn’t come from a prompt.
So while AI accelerates parts of the process, it doesn’t make traditional development “dead.” If anything, it shines a light on skilled developers even more. Our dev team were never just builders: they’re decision-makers, problem-solvers, and the glue that holds it all together.
AI Won't Replace Developers
AI isn’t replacing developers—it’s changing how they work. While traditional development remains essential for depth and precision, AI accelerates the early phases.
For us, the future is about merging both: human judgment with AI speed.