AI-assisted development
Vibe coding: what AI-driven app development really looks like
Whether you want to ship a brand-new app or just use Claude, ChatGPT, Cursor, or Codex in your day-to-day work, this page gathers the method, the tools, and the lessons from real projects.
// Vibe coding prompt örneği
const task = {
goal: "session-complete endpoint yaz",
rule: "tek transaction, çift tamamlamayı engelle",
test: "aynı oturum iki kez tamamlanamaz",
};
await ai.write(task);
// → testler yeşil kalana kadar iterate- Claude
- ChatGPT
- Cursor
- Codex / OpenAI Codex
- GitHub Copilot
- Windsurf / Cline
What is vibe coding?
Vibe coding is a way of working where you describe the goal to an AI model instead of writing every line, then steer, test, and accept the code the model produces. Since 2025 it has become one of the fastest prototyping approaches for solo developers and teams alike.
- Decisions (architecture, security, product) stay with you.
- The model accelerates coding, testing, and refactoring.
- The gap between "it works" and "it stays working" is still yours to close.
Which tools can you use?
Vibe coding is a method, not a single product. You can mix any of the tools below.
Claude (Anthropic)
Holds context well across large codebases. Strong for full-module generation when you hand it a written architecture decision.
ChatGPT (OpenAI)
One of the fastest options for day-to-day Q&A, debugging, and small code snippets.
Cursor
AI inside the editor. Practical for file-level refactors, test generation, and terminal commands.
Codex / OpenAI Codex
OpenAI’s coding agent. Hand it a multi-file job from the terminal or the cloud and walk away — built for automation-style work.
GitHub Copilot
The most widely deployed inline-completion tool; ships inside VS Code, JetBrains, and Visual Studio.
Windsurf / Cline
Editor-first agents. Built for long file context and autonomous editing.
How do you start vibe coding?
- 1
1. Write the decisions
Architecture, trust boundary, product rules — they belong in a document. Asking the model to "write to the rules" gives far more consistent output than a free-form prompt.
- 2
2. Give small tasks
Instead of "build the app", try "write the session-complete endpoint, single transaction, the same session cannot complete twice."
- 3
3. Keep tests in sync
Move critical values (time, score, identity, permissions) into pure functions and lock them with tests. The tests will warn you the next time the model breaks the same spot.
- 4
4. Audit
After each phase, ask: "Any dead code, duplicated functions, or magic strings?" "It works" is not enough — you want "it keeps working".
Vibe Coding Articles
Lessons from real vibe-coding projects, tool comparisons, and step-by-step guides.
What Is Claude Sonnet 5.5? Benchmarks, Cost, Free Plan
Claude Sonnet 5.5 is now the free plan's default model. It scores 70.6% on Terminal-Bench 4.0 at $2 / $10 per million tokens. How it compares.
What Is GPT-6.1 Sol? Price, Performance, Who Can Use It
GPT-6.1 Sol offers near-Astra intelligence at a fifth of the price: $2 / $10. New plan tiers, Ultrafast speed and who can use it, explained.
A 3D Game in One Day: Building BOINGWARD with AI Agents
I started from a Unity design pack and switched to Godot the same morning. Parallel Claude Code sessions produced 148 commits and a playable 3D pogo game.
What Is Hermes Agent? How to Install (Mac, Linux, Windows)
Hermes Agent is Nous Research's open-source terminal agent with memory and skills. One-line install, first setup and model choice, step by step.
What Is Gemini 4 Pro (Argon)? Features, Price, Benchmarks
Google announced Gemini 4 Argon on Sept 30: 1M output tokens, $2/$10 intro pricing, 77.9% on DeepSWE. There is no official 'Pro' name, and it is not public yet.
Hermes Agent: Telegram, Scheduled Tasks and Security
Connect Hermes Agent to Telegram, automate it with cron and run it safely: BotFather, allowlists, approval modes and Docker isolation.
Gemini 4 Argon vs Claude Opus 5.5 vs GPT-6 Astra
Gemini 4 Argon leads on legal, finance and long software tasks but trails on terminal and science tasks. Three models compared with a benchmark table.
Space Bunny Alpha vs Other AI Agents
Space Bunny Alpha compared with Claude, GPT, Gemini and free open models: price, the 1M context window, multimodal input and agent capabilities.
Space Bunny Alpha: 1M Context and Multimodal Input
What a one-million-token context window really holds, how image and video input share that budget, and how to measure and manage your token budget.
Frequently Asked Questions
Can you really ship an app with vibe coding?
Yes. LevelUpStudy, currently live on the App Store, was built this way. The catch: architecture, security, and product decisions stay with you; the model just accelerates the implementation.
Should I use Claude, ChatGPT, or Cursor?
There is no single right answer. ChatGPT shines for quick Q&A, Cursor for in-editor refactor, Claude for large-codebase context. Most developers use two or three together.
Is vibe coding suitable for beginners?
The model can produce code, but you still need the basics to judge what it produces. Learn algorithms and the fundamentals of the language first, then use vibe coding to move faster.
How do you control the quality of AI-written code?
Watch for dead or duplicated code, magic-string lookups, and missing test coverage on critical calculations. Pulling time, score, and identity into pure functions protected by tests is the most reliable habit.
Will vibe coding make developers unemployed?
No. It does not replace a good developer; it changes how much a good developer can ship. The person who decides, sets the limits, and audits the result is still human.
You are in the right place to learn vibe coding
Read the guides, apply the method to your own project, and get one-to-one help when you get stuck.