The distinction between using Copilot Agent Mode for scaffolding versus production logic is a key nuance most vibe coding discussions miss — the "flow state" still requires understanding what the generated code actually does.
Do you think it’ll ever replace the flow state of real coding, or will it just be another tool — like autopilot for devs who still have to grab the wheel when things get weird?
Really enjoyed this breakdown! The distinction between "vibe coding" for prototyping vs production code is crucial.
I've been experimenting with something adjacent — having an AI agent autonomously build and ship products 24/7 while I sleep. It's written 29 browser games, dozens of digital products, and hundreds of blog posts. But here's the thing: the code it produces works, but the architecture decisions are where human judgment still matters most.
The GitHub Copilot agent mode you showed is impressive for single-session coding. What I find even more interesting is the multi-session orchestration pattern — where one AI agent acts as the "CEO" reviewing what coding agents built, catching quality issues before they ship.
One concern I'd add: vibe coding makes it dangerously easy to ship code you don't understand. I've had my agent push code that triggered platform bans because it didn't understand the human context (rate limits, bot detection patterns). The "vibe" part needs guardrails.
Great article as always, Victoria! 🙌