I recently came across Liner, a South Korean AI search engine, claiming to be the most accurate AI-powered deep research tool (atm!) “One simple question, 360 degree in-depth reports”. A great opportunity to try it out for my current favorite topic! And I'm thrilled! Here is what I got out of my pro research on the best Vibe Coding tips, best practices and hacks! ☺️ 👇🏼

What is Vibe Coding, Actually? 🤔

Vibe coding, a term coined by Andrej Karpathy in February 2025, refers to a programming technique where developers provide high-level instructions in natural language, allowing AI to generate the corresponding code. It shifts the programmer's role from manual coding to guiding, testing, and refining AI-generated source code.

Unlike traditional coding where structure and meticulous planning reign supreme, vibe coding prioritizes flow states and organic problem-solving—similar to how jazz musicians improvise or how painters approach a canvas. Instead of rigidly planning everything upfront, you respond to what emerges and iterate quickly.

Think of it as the difference between building furniture with detailed IKEA instructions versus working with clay—you start with an idea and shape it as you go, responding to what feels right in the moment.

Crafting Perfect Prompts: The Foundation of Vibe Coding 📝

The quality of your AI-generated code depends heavily on how well you communicate with the AI. Your prompts are essentially your magic spells—the words you choose matter! 🪄

Be Specific and Detailed

As one source puts it, "Think like a product owner who just discovered coffee and wants everything documented." Instead of vague requests like:

❌ "Make a login system"

Try something detailed like:

✅ "Create a Flask route that serves a login form with email and password fields, and validate the inputs using WTForms"

This doesn't mean writing a novel—just include the key details the AI needs to succeed on the first try.

Break Down Complex Problems

AI performs best with bite-sized tasks rather than massive requests. Instead of asking for an entire web application at once, break it down into manageable chunks:

1. First: "Add user registration with hashed passwords using bcrypt"

2. Then: "Create a login form that authenticates against those stored users"

3. Next: "Add a password reset feature with email verification"

This approach mirrors agile thinking and keeps both you and the AI focused on incremental progress 🧩.

Planning Before Coding

Before diving into code generation, ask the AI to outline a solution first. Try planning prompts like:

"Draft a step-by-step plan to implement feature X. Don't write code yet – just outline the approach (data structures, functions, error handling)."

Once you approve the plan, you can prompt: "Great, now implement step 1." This chain-of-thought approach keeps the AI focused and helps you catch design issues early.

The Trust-But-Verify Approach 🔍

Even when using vibe coding, maintaining code quality remains crucial. The AI will often give you code that looks right, compiles, and runs—but don't blindly trust it!

Understand Your Code

You're shipping black boxes if you're copying and pasting AI output without understanding what it's doing. For each chunk of generated code:

• Read through it carefully

• Ask the AI to explain anything unclear

• Track how data flows, what functions do, and where edge cases might break things

As the saying goes: if you wouldn't ship code you didn't write in a team setting, don't do it with AI either!

Test Everything

After each major code generation, have the AI produce relevant tests or write your own. This ensures you don't deploy until you've verified the AI's work in a safe environment.

When something breaks (and it will), bring the error back into the conversation:

AI: *generates some code*
Me: When I run this, I get "TypeError: Cannot read property 'map' of undefined"
AI: That's happening because we're trying to map over data before it's loaded. Let's fix that by...

This creates a feedback loop where the AI becomes your pair programmer, not your scapegoat.

Workflow Optimization for Vibe Coders 🚀

Set Clear Coding Guidelines

Define a consistent tech stack and coding patterns upfront. You can even provide the AI with rules that list your preferred frameworks, libraries, and design patterns. For example, specify "Always use Node + Express with MongoDB" or "Use NPM, not pnpm."

These guidelines act like a project's constitution, ensuring every piece of AI-generated code aligns with your standards and preventing unwanted deviations.

Build a Prompt Cookbook

Once you've written prompts that work well, save them for future use! Creating a personal "prompt cookbook" with templates can save considerable time:

• "Set up a FastAPI endpoint with SQLite and JWT auth"

• "Add client-side form validation with vanilla JS"

• "Create a responsive navbar with mobile toggle"

It's like building a shared language between you and the AI that improves over time.

Version Control is Your Safety Net

Good old version control saves vibe coders from chaos. Make atomic commits with one focused change per commit and clear messages:

• "Add login route with WTForms validation"

• "Fix password reset email formatting"

• "Refactor user profile to use async loading"

This practice allows for easy rollback if the AI's changes go astray. Save chat histories or transcripts of AI interactions as they act as a log of reasoning if you need to retrace steps.

Code as Creative Expression 🎨

Vibe coders view software as art, not just infrastructure. Whether through elegant algorithmic design, modular architecture, or playful function naming, code reflects personal style and creative fingerprints.

This approach fosters a remix culture where you can experiment with different styles and approaches without feeling constrained by rigid conventions. The creative aspect of vibe coding allows you to express yourself through your work, making the development process more enjoyable and personally fulfilling.

Vibe Coding for Neurodivergent Minds

For years, traditional development environments overlooked neurodivergent strengths—preferring rigid, linear thinking over dynamic problem-solving. Vibe coding flips the script, offering an adaptive, instinctual approach that aligns naturally with ADHD, dyslexia, and other neurodiverse cognitive styles.

Studies show neurodiverse teams are 30% more productive than homogenous teams, with ADHD developers thriving in fast-paced, intuitive environments by leveraging hyperfocus and parallel thinking.

As someone who's explored various approaches to learning code, I find vibe coding extraordinarily liberating. The instant feedback and natural language interaction remove many of the hurdles that traditional coding throws in our path.

“Anti-Burnout Benefits”

Vibe coding isn't just about speed—it's about sustainability. Developers report higher engagement and less burnout by infusing fun and autonomy into the workflow.

Companies embracing vibe coding report a 30% reduction in developer turnover, as the culture prioritizes well-being. The approach transforms work environments into high-energy creative spaces, maintaining the adrenaline rush of hackathons while eliminating the stress of traditional project sprints.

Essential Tools for Vibe Coding 🛠️

Several powerful tools have emerged to support the vibe coding approach:

• GitHub Copilot: Built on OpenAI's Codex model, suggests code completions and entire functions as you type

• Cursor: An AI-powered code editor based on VS Code that allows for seamless code interaction through natural language

• Replit: Started as an online coding platform, now includes an AI coding assistant

• Voice-Driven Options: Tools like Superwhisper and Vibe Coder by Deepgram enable hands-free, conversational programming, letting you talk to AI instead of typing

By early 2025, 75% of Replit users using the AI never write a single line of code themselves, demonstrating its effectiveness for non-developers and beginners.

Balancing Speed with Quality

When using vibe coding, it's essential to balance speed with quality. The 80:20 rule applies strongly here—the final 20% of a project often requires the most time and effort to complete properly.

With vibe coding, the challenge is compounded because you lack familiarity with the initial 80% of the codebase that was AI-generated. Because you haven't written much of the code yourself, fine-tuning and debugging that last 20% can become significantly more challenging than expected.

Security Considerations 🔒

When vibe coding, you might overlook critical security considerations that professional developers would routinely implement. Essential security practices to keep in mind include:

• Ensuring user inputs are safe

• Not storing passwords in plain text

• Securely storing API and database keys

• Rate limiting APIs

• Correctly setting up permissions

• Carefully handling errors

Since people who vibe code are generally not experienced programmers, they can make significant mistakes in security, availability, and other critical aspects of development.

The Future of Vibe Coding

As vibe coding continues to evolve, staying adaptable is crucial. AI is shifting software development from coding to curating, with routine coding tasks increasingly being offloaded to AI while human engineers focus on higher-level architecture, complex integration, and oversight.

The role of "coder" may evolve into more of a software curator or verifier who instructs AIs, then verifies and refines their output. Additionally, coding might not just be typing text in the future—voice-driven coding and even references to AR/VR suggest that future development might be a more immersive, interactive experience.

My Own Vibe Coding Journey

As a weekend coder experimenting with these new tools, vibe coding has transformed how I approach my hobby projects. Recently, I am currently vibe coding a Discord bot with crypto-and-AI-related features, describing functionality like "add another slash-command to fetch crypto prices" and "create a feature to analyze trading signals." I always watch in amazement as the AI can help translate these ideas into Python code, bringing these features to life while I simultaneously learning so much about developing an actual product, about APIs, programming basics, architecture and data processing on the fly.

Instead of being stuck on syntax errors and logical puzzles, I can focus on what I want to create during my free time. The AI handles the technical complexities while I learn at my own pace, exploring concepts as they become relevant to my projects.

What surprised me most was how quickly I lost track of time while working on the bot—a true flow state I rarely experienced with traditional coding approaches. I've noticed that my understanding grows organically as I interact with the AI, ask questions, and refine my ideas. It's like having a patient tutor available 24/7 who adapts to my learning style.

Conclusion

Vibe coding represents a fundamental shift in how we approach software development, making coding more accessible, creative, and efficient. By following these best practices—crafting precise prompts, breaking down problems, maintaining quality, and implementing good workflow habits—you can harness the full potential of AI-assisted coding while avoiding common pitfalls.

Whether you're a seasoned developer looking to boost productivity or a creative person wanting to bring your ideas to life without learning traditional coding, vibe coding offers an exciting pathway forward. The key is finding the right balance between leveraging AI's capabilities and maintaining control over what you're building.

Have you tried vibe coding? What techniques have worked best for you? I'd love to hear about your experiences ! 💬

Try Liner yourself: https://getliner.com/

What I saw today:

What I listened to today:

(Perfect vor vibe coding btw!👌🏼)

What I liked today:

That’s it for today! ☺️

_Disclaimer^:

_{This blog reflects my personal learning journey and experiments with technology. These are my own experiences and observations as I explore the fascinating world of tech and AI. Developed with research, image generation and writing assistance using AI.}