Vibe-Coding: Coding with Soul and AI

Intro: A New Vibe in Programming

Imagine being able to code as if you had a senior developer by your side 24/7, ready to bring your ideas to life while you sip your coffee ☕. It sounds like magic, but it's the reality of vibe-coding—a lightweight, fluid, and iterative software development methodology that blends human creativity with the power of Artificial Intelligence.

At Mythoria—an innovative AI-powered story-creation platform—this approach has been a game-changer: 90% of the application's code and the entire backend were developed using vibe-coding! Instead of huge teams or months of work, a single developer with the right "vibe" and AI tools can prototype features in days or even hours.

For entrepreneurs who are tech-savvy (but not necessarily code gurus), vibe-coding brings an inspiring message: you no longer need a computer science degree to get an idea off the ground. With a chill attitude, the right tools, and an AI agent as your partner, you can turn business visions into functional prototypes at an incredible speed.

Next up, we'll dive deep into this methodology—what it is, our favorite tools, how we use it at Mythoria, and what we've learned along the way.

1. What is Vibe-Coding?

Vibe-coding is a way of programming that’s in sync with your creativity and intuition, making the most of AI assistants to write and refine code in a continuous conversation. The term “vibe” captures the spirit perfectly: instead of a rigid, solitary process, programming becomes dynamic, almost musical 🎶. You give a prompt, the AI responds with a suggestion, you tweak your request, it adjusts the answer, and so on. It’s a light, iterative back-and-forth between human and machine.

In practical terms, vibe-coding means coding by talking to an AI agent, almost like pair programming, but where one of the "programmers" is artificial. As the founder of Mythoria, I’d sum it up like this: "Basically, you're programming in conversation with an AI agent, like the GitHub Copilot Agent."

Instead of writing every line by hand, we describe what we want (in natural language or pseudo-code) and let the AI model write the first draft of the code. Then, we evaluate, test it quickly, give feedback, and repeat the cycle. This fluid approach lets us move incredibly fast.

At Mythoria, for example, entire features are prototyped in hours because the AI handles the boilerplate and the boring details, while we, the human developers, focus on the goals and the feeling of what we’re trying to build.

• It's lightweight because it doesn't require creating formal documentation or complex architecture upfront—you just start experimenting.
• It's iterative because it assumes from the get-go that you'll be refining the result step-by-step, instead of trying to achieve perfection in one shot.

It’s important to point out: vibe-coding isn't programming on "autopilot" without human input. Quite the opposite—human creativity and vision are still in the driver's seat, setting the direction and filtering the suggestions. It's like driving a sports car with power steering: the AI is the powerful engine, but you're the one at the wheel.

At Mythoria, this human-AI synergy allowed a young developer to build a complete platform almost single-handedly, something unthinkable just a few years ago. Tasks that used to require experienced teams and weeks of work can now be solved with a simple request in natural language (even by voice!), as if you had a tireless coding partner available 24/7. That's the essence of vibe-coding—programming with soul, rhythm, and a little help from an AI.

2. A Vibe-Coder's Favorite Tools

To get into vibe-coding mode, you don't need a fancy setup—but a few tools make the experience much smoother. Here are the favorites in a modern vibe-coder's arsenal:

Code Editor with Integrated AI Assistance

GitHub Copilot is the king here. Integrated into VS Code, the GitHub Web IDE, or other popular IDEs, Copilot acts like autocomplete on steroids. The feeling is almost magical: you start writing a comment describing a function, and before you can finish the sentence, Copilot proposes the complete implementation.

Command Line & CLIs

It might sound counterintuitive in an article about AI, but many vibe-coders love the simplicity of the command line. Tools like the Unix terminal, combined with smart utilities (like the Copilot CLI), let you test ideas fast. At Mythoria, we use AI-generated scripts for repetitive DevOps tasks and database migrations all the time.

Cloud Development Environments

Services like GitHub Codespaces or Replit have made it possible to code from anywhere. For vibe-coding, this is perfect—you can spin up a ready-to-go environment in seconds and call your AI co-pilot right there in a secure sandbox.

Extensions and Helper Tools

Besides Copilot, formatting extensions like ESLint or Prettier (which the AI can set up for you) and testing tools like Jest keep the code clean and functional. A true vibe-coder gets comfortable with Git, using lots of lightweight branches to test out AI-guided ideas without fear of messing things up.

Of all of these, the real MVP is GitHub Copilot, our daily partner in crime, which has turned the experience of writing code into a jam session between human and AI.

3. GitHub Copilot: Coding Assistant vs. Agent Mode

Now, let's talk about a real game-changer: the difference between Copilot's traditional mode (coding assistant) and the new Agent Mode.

Until recently, Copilot worked mainly as a passive assistant: it suggested code as you typed. It was awesome, but you were always in direct control. In 2025, Copilot got behind the wheel with Agent Mode.

In Agent Mode, GitHub Copilot goes from being a smart parrot to a proactive agent. You describe a goal in natural language ("Copilot, add support for Google login"), and it plans and executes the steps to make it happen.

An active Copilot agent can, on its own:

1. Analyze your repository to understand the context.
2. Plan a multi-step solution (create files, install packages, etc.).
3. Execute commands and change code autonomously.
4. Run tests to verify that everything works.
5. Iterate and fix any errors it finds, in a self-contained debugging loop.

The difference is huge, as you can see in this table:

Practical Examples at Mythoria

At Mythoria, we jumped on Agent Mode as soon as it was available. A memorable case was when we wanted to refactor our platform's credit system. We told Copilot: "Update the logic to apply a 10% discount on purchases over 100 credits, adjust the UI, and make sure the tests pass."

The agent analyzed the project, identified the relevant files, created a plan, modified the code, adjusted the translation files, and ran the tests. When a few tests failed, it fixed them itself! In about 15 minutes, the feature was implemented. It was a total wow 🤯 moment where we realized: this is vibe-coding on a whole new level.

Of course, human oversight is still crucial. But overall, using Copilot in agent mode has been like having a super-fast junior developer on the team, freeing us up to focus on strategic decisions.

4. The Evolution of AI Models (2022–2025)

What has made vibe-coding so powerful is the staggering evolution of AI models:

• 2022 (GPT-3.5): The beginning. Models with limited context, good for small code snippets.
• 2023 (GPT-4, Claude 2): A leap in quality and context. Claude 2, with its 100k token context window, could already "read" an entire repository.
• 2024 (Specialized Models): The first AI agents and code-optimized models appear. AI shifts from just a text generator to an action executor.
• 2025 (GPT-5, Claude 4.5): The current era. Models with massive context windows (up to 1 million tokens in beta!), incredible speeds, and multimodal capabilities (text, image, audio).

Today, we can trust an AI with refactoring an entire project, something that was science fiction three years ago. We're in the Age of Imagination, where our main contribution is to dream and design, leaving the detailed execution to AI.

5. Claude Sonnet 4.5 vs. GPT-5 Codex: A Clash of the Titans

Right now, the two giants of AI-assisted coding are Claude Sonnet 4.5 (from Anthropic) and GPT-5 Codex (from OpenAI). Both are incredible, but they have different personalities.

At Mythoria, we use both. Claude is great for quickly scaffolding something new. GPT-5 is our go-to partner for validating details, debugging, and exploring creative approaches. The era of vibe-coding isn't about picking one model; it's about knowing which partner to call for which dance.

6. Practical Vibe-Coding Tips from Mythoria

After thousands of lines of code co-written with AI, we've gathered a few lessons:

1. Divide and conquer: Avoid massive prompts. Ask the AI to change things module by module. Progress is faster and the results are more accurate.
2. Create "AI-friendly" documentation: A good README.md explaining the project's architecture helps the AI give much better answers. And you can use the AI itself to generate the first draft of that doc!
3. Use quality gates and tests: For every new feature, ask the AI: "generate unit tests for this." Tests are your safety net against hallucinations.
4. Ask the AI to review its own code: After generating code, ask another model (or even the same one) to analyze it: "Find potential bugs or improvements here." You'll be surprised by the quality of the feedback.
5. Create JSONs and configs incrementally: Don't ask for a 200-line config file all at once. Ask for the basic structure first, then have it fill out each section one by one.
6. Refine your prompts with examples: If the AI doesn't get it right the first time, don't give up. Give it a small, manual example of what you want. Vibe-coding is a dialogue, a constant fine-tuning.

Conclusion: Get in the Vibe! 🎉

Vibe-coding is here to stay. It's a methodology that makes software development more creative, faster, and honestly, a lot more fun. For entrepreneurs and innovators, the barrier to entry has never been lower.

At Mythoria, this approach allowed us to build a robust product in record time with a tiny team. We feel more productive, creative, and empowered.

Our call to action for you is simple: try the vibe! If you haven't already, use GitHub Copilot on your next project. Start small. Feel the flow of conversing and coding hand-in-hand with an AI.

We're at a point where technology is finally catching up with human imagination. Get in the vibe, and you'll see: that next big idea of yours might just be a few code conversations away from becoming reality.

Happy coding with soul! 🚀

References

The ideas and examples shared here were inspired by the Mythoria team's direct experience and trends in the tech community.

• To learn more about the "Age of Imagination," read our post From the Hoe to ChatGPT.
• The capabilities of the GitHub Copilot Agent are based on the official documentation and our internal use.
• For model comparisons, articles from sites like Leanware and Arsturn are great reads.