What happens when AI meets flow state?
Imagine this: you're deep into coding. Your brain is fully locked in. You’re solving real problems, not just ticking off Jira tickets. You’re not fighting meetings or Slack threads. You’re building. That’s vibe coding — and now, with AI tools in your corner, it’s going next level.
This article explores what vibe coding with AI actually is, how developers can use it in real life, what risks it brings, and which tools are worth your time.
Originally coined by Andrej Karpathy (ex‑OpenAI, Tesla AI) in early 2025, vibe coding is “fast, improvisational, collaborative” AI‑assisted dev, where you prompt the LLM with plain English and accept code liberally—staying in that flow zone
“Fully giving in to the vibes… forget that the code even exists,”
— Andrej Karpathy, ex‑OpenAI, Tesla AI.
Vibe coding is that mythical zone where things just click. It’s not tied to your sprint. It’s not measured in story points. It’s when developers get the mental space to design, build, refactor, and iterate without constant interruptions.
And here’s the truth - most teams don’t protect that space. Developers are busy doing “work about work,” not actual problem-solving. Vibe coding is the antidote to shallow work — and AI just made it more powerful.
It’s the new era of software development where developers co-create with AI tools — not to replace their thinking, but to enhance it.
Think of AI as your pair programmer who doesn’t need coffee breaks:
But the magic isn’t just in speed. It’s in staying in the zone. With AI handling boilerplate, syntax, and documentation, you get to stay focused on logic, structure, and systems thinking.
“AI allows software engineers to reach a magic flow state… automate repetitive tasks so you can focus entirely on solving problems.”
— GitHub CEO Thomas Dohmke at The MAD Podcast with Matt Turck - The AI Coding Gold Rush, Vibe Coding & Cursor, episode.
Here’s how engineers are already doing it:
Explore vibe coding communities in Reddit’s r/vibecoding
At Revolgy, our AWS lead Tomáš Kryst uses AI tools to quickly generate HTML and presentation layers for customer demos. “It’s great for visual mockups and simple reports,” he says — especially when you're live on a call and need something fast.
Others, like David Formánek from Enterprise and Security team, takes it further: “I’ve used Gemini for GAM scripting, Xcode/macOS app development, and Python projects.” That range—from web to native to backend—shows how AI tools are becoming flexible companions, not just autocomplete toys.
Pieter Levels (indie hacker) built a multiplayer flight simulator in three hours using AI - then monetized it to $50k/month: proof that vibe coding can turn ideas into revenue fast.
Here’s what developers are currently loving:
| Tool | What it does |
|---|---|
| GitHub Copilot | Context-aware code suggestions directly in your IDE |
| Cursor | AI-native VS Code fork that’s built around AI prompting |
| Codeium | Free Copilot alternative with inline suggestions |
| Amazon CodeWhisperer | Especially handy for AWS-native development |
| Gemini for Google Workspace & Google Cloud | Contextual support in Google Cloud tools and Workspace. Generate summaries, code snippets, email replies, and project outlines. In Google Cloud, it writes SQL, generates infrastructure suggestions and IAM policies, debugs configs. Available in GCP, Gmail, Docs, Sheets — ideal for dev + PM hybrid workflows. |
| Microsoft Copilot (Windows + 365) | Deep integration in Word, Excel, Teams + GitHub Copilot combo. Useful for devs documenting work, creating reports, or managing project data. In GitHub Copilot X: offers pull request summaries, CLI chat, and terminal suggestions. |
| Replit Ghostwriter |
Full AI dev environment, great for prototyping or hackathons. Especially good for quick MVPs or junior developers learning via feedback |
| Phind | Dev-oriented search + code assistant that replaces Stack Overflow binges |
| Lovable.so |
Instantly generate UI wireframes and landing pages from prompts. Great for devs who hate Figma or don’t want to mock UI manually. Use it for MVPs, sales pages, demo apps. |
| Rosebud AI / Scenario.gg |
Generate character art, product mockups, or 2D/3D assets for games and apps. Useful for devs working on gamified or creative tools |
| Diagram.com (formerly Automator) |
AI for UI/UX and design systems. Devs can prompt and tweak components visually. |
These tools aren’t just autocomplete on steroids. They reduce friction. And less friction = deeper flow = better software.
Let’s keep it real — AI is powerful, but not magic. Here’s what to watch out for:
Overtrusting AI suggestions: They might be syntactically right and logically wrong.
Security risks: Some tools can leak sensitive code or introduce vulnerabilities.
Skill atrophy: Letting AI write everything = becoming a prompt typist, not a problem solver.
Bias in generated code: AI can replicate outdated or unsafe patterns if you’re not paying attention.
The golden rule? AI helps you code faster, but you’re still the engineer.
Oh, and your team might actually enjoy coding again. That helps too.
Want to enable vibe coding with AI in your team? Here's the checklist:
Use AI-native dev environments (like Cursor, Replit, or cloud-based IDEs)
Set team-wide best practices for secure, ethical AI usage
Automate the boring stuff (testing, deployment, infra setup)
Block deep work time — 2–4 hour chunks, no meetings, airplane mode
Let engineers choose tools that suit their stack and workflow and give them usage guidelines
Don’t over-process creativity — trust, review, iterate, debug and all over again
Centralize validation - automated tests, reviews, and security is must before shiping
AI won’t replace great developers, not yet. But it will change how we build.
The future isn’t about working harder. It’s about working smarter, with the right mix of human creativity and machine speed. Vibe coding with AI is how we get there — focused, flexible, and actually fun.
Want to see what vibe coding looks like in the wild?
At Revolgy, we help engineering teams create environments where AI tools, cloud-native infra, and developer experience aren’t buzzwords — they’re part of the build process. We call it “engineering flow by design.” And we know how to scale it. Talk to us and solve your challenges today.