“We want to bring software creation closer to the speed of thought.”
This issue of Redeployed is brought to you by Tecla: Prompting might be the new interface, but production still needs engineers. As AI tooling reshapes how front-ends are built from Replit to Webflow, Tecla helps you hire developers who speak both design and code. These aren’t prompt chasers. They’re nearshore engineers who can review, direct, and ship AI-assisted builds that actually work.
For years, building software meant writing code. Now, Google and Replit want to replace that with something looser, faster, and a lot less structured.
They’re calling it “vibe coding.”
This isn’t just another AI-powered IDE. It’s a vision where apps are prototyped, tested, and shipped by describing what you want in natural language, not writing functions or modules. Replit brings the workspace. Google Cloud brings the models. The result, they claim, is software built at the speed of thought.
The idea sounds sleek. The reality is murkier.
Less Code, More Choreography
Vibe coding reframes the developer as a director. You prompt, the machine builds. You review, it adjusts. The loop tightens. At startups, this is already showing up in internal tools built by narrating flows to Claude and refining them with Copilot.
The cost of building has dropped. But so has the barrier to doing it poorly.
We’re entering a world where anyone can ship software. But most AI models still fumble with nuance. Hallucinated endpoints, insecure defaults, logic flaws, all delivered with confidence.
It’s not about what AI can do. It’s about what happens when non-engineers do it without a safety net.
Leadership Will Decide How This Plays Out
This shift isn’t theoretical. Teams will soon have marketers and ops staff building tools without ever filing a Jira ticket. That isn’t a threat. It’s a new layer of coordination.
Engineering leaders need to set the rules of engagement. What can be automated? What still needs human eyes? Who signs off when the prompt ships to prod?
Because vibe coding isn’t just a change in interface. It’s a change in responsibility.
Some teams are already adapting. They’re pairing AI-native workflows with engineers who know how to direct, not just develop. These aren’t prompt-chasing hobbyists. They’re senior devs fluent in AI tooling who can review, debug, and productionize code generated at the so-called speed of thought. Teams building in this way are increasingly leaning on nearshore talent who can move fast, collaborate in real time, and keep the signal-to-noise ratio high. See how they’re scaling safely with AI.
And in this new workflow, the real risk isn’t that AI replaces engineers. It’s that we stop acting like engineers when we build with it.
More to come...
Recommended Reads
✔️ Google & Replit Expand Vibe Coding Push — Business Insider
✔️ Vibe Coding Explained — Google Cloud Discover
✔️ Replit AI Tool Goes Rogue — Tech Industry Report
If you’re reading this as the year comes to a close, think of it as a final reminder from the future.
The tools are evolving fast. But the real edge still comes from the people who remember how the old stuff worked and can translate it forward.
Thanks for following along this year. Here’s to building smarter in 2026 🎆
– Gino Ferrand, Founder @ Tecla