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Vibe Coding is a new programming paradigm that uses Large Language Models (LLM) to generate code by describing requirements in natural language, allowing you to focus on "what you want to do" instead of "how to write it." * * * ## What is Vibe Coding The term "Vibe Coding" was first introduced by Andrej Karpathy, former Tesla AI Director and OpenAI co-founder, in February 2025. He described it on social media as: a completely new way of coding, where you are fully immersed in the vibe, embracing exponential efficiency gains, even forgetting the existence of code itself. Simply put, Vibe Coding is: you tell the AI what functionality you want in plain human language, and the AI writes the code for you. You don't need to worry about syntax details, memorize API parameters, or manually debug every error—AI handles all of these. Your role changes from "code writer" to "requirement describer"—or in other words—from programmer to product manager + architect. !(https://example.com/wp-content/uploads/2026/05/6a7785e6-6a92-4a44-87a5-6c8f92ee619f.webp) > Vibe Coding is not about letting AI think for you, but rather having AI handle low-value repetitive work, allowing you to focus on more creative aspects: understanding problems, designing architecture, and verifying results. * * * ## Vibe Coding vs Traditional Programming Understanding the differences between Vibe Coding and traditional programming methods will help you use it better. | Dimension | Traditional Programming | Vibe Coding | | --- | --- | --- | | Input Method | Write code line by hand | Describe requirements in natural language | | Focus | Syntax, API, implementation details | Requirements, architecture, verification | | Debugging Method | Manual breakpoint/log debugging | Throw error messages to AI and let it fix | | Speed | Depends on typing speed and proficiency | Depends on how clearly requirements are described | | Applicable Scenarios | All programming tasks | Prototype development, CRUD, script tools, UI pages | | Core Skills | Programming language proficiency | Requirement breakdown + result verification capability | * * * ## Why Vibe Coding is Possible Now Vibe Coding became possible in 2025 due to the maturity of several key conditions. ### Leap in Large Model Coding Capabilities Models like GPT-4, Claude 4, and Gemini have significantly improved their accuracy in code generation. They can not only write syntactically correct code but also understand project context, follow best practices, and handle edge cases. More importantly, they can handle ultra-long contexts—reading an entire project at once and understanding your codebase structure. ### Explosion of AI Programming Tools Tools like Cursor, Claude Code, GitHub Copilot, and Windsurf have deeply integrated AI capabilities into the development workflow. These tools can not only complete code but also directly modify files, run terminal commands, and search the codebase—working like a real developer. ### Emergence of Agent Mode Agent-mode tools can autonomously execute multi-step tasks: reading files, writing code, running tests, and fixing errors based on test results. You only need to give an initial instruction, and the Agent will iterate on its own until the task is complete. * * * ## Mainstream Tool Introduction Below are the most popular Vibe Coding tools, each with different focuses. | Tool | Type | Core Features | Suitable Scenarios | | --- | --- | --- | --- | | (https://qoder.com/users/sign-up?referral_code=whhACoCj9WryAtAh2HAqjvE2ppbzwWtz) | Agent IDE | Deep codebase understanding, Quest automatic tasks, multi-agent, Repo Wiki, CLI/IDE dual mode | Medium-large engineering, long-term project maintenance | | (https://www.trae.com.cn/?utm_source=advertising&utm_medium=tutorial_ug_cpa&utm_term=hw_trae_tutorial) | AI-native IDE | Conversation-driven development, auto-generation and code modification | Vibe Coding, quick new project setup | | (https://cursor.com/) | AI Editor | Project-level understanding, multi-file modification, Agent mode | Full-stack development, large projects | | (https://www.anthropic.com/claude-code) | CLI Agent | Execute complex tasks in terminal, auto-modify projects | Backend, automation development | | (https://github.com/features/copilot) | AI Programming Assistant | Smart completion, chat, Agent | Daily development assistance | | (https://windsurf.com/) | AI Editor | Cascade workflow, auto multi-file modification | Rapid development, small-medium projects | | (https://openai.com/codex/) | AI Programming Agent | Understand tasks and execute complete development process | Automated development | | [Bolt.new](https://bolt.new/) | Online AI Development Platform | Generate complete applications with one sentence | MVP, prototype verification | | (https://v0.dev/) | UI Generation Tool | Auto-generate React pages | Page design, component development | | (https://replit.com/) | Online IDE | Cloud development + AI collaboration | Teaching, rapid testing | | (https://lovable.dev/) | AI Application Generator | Generate SaaS directly from descriptions | Startups, product verification | | (https://firebase.google.com/studio) | AI Application Platform | AI + backend service integration | App/Web development | > If you are new to Vibe Coding, you can start with domestic tools like (https://qoder.com/users/sign-up?referral_code=whhACoCj9WryAtAh2HAqjvE2ppbzwWtz) or (https://www.trae.com.cn/?utm_source=advertising&utm_medium=tutorial_ug_cpa&utm_term=hw_trae_tutorial). They operate similarly to VS Code, have the gentlest learning curve, and won't change your familiar editor environment. * * * ## Quick Start Below, using [Claude Code (Terminal CLI)](https://example.com/claude-code/claude-code-tutorial.html) and (https://example.com/cursor/cursor-tutorial.html) as examples, we demonstrate the typical Vibe Coding workflow. ### Using Claude Code Assume you want to write a Python script that reads data from a CSV file and generates a statistical report. Step 1: Start Claude Code in the terminal. claude !(https://example.com/wp-content/uploads/2026/01/Claude-Code-Screenshot.png) Step 2: Describe your requirements in natural language. You don't need to write any code; you just need to clearly state what you want: # Tell the AI directly in plain language what you want $ claude > Help me write a Python script that reads the sales.csv file,> calculates monthly sales, and generates a sales_report.csv report file.> The report should include: month, total sales, order count, and average order value.> Skip empty rows and invalid data, print warnings for anomalies but continue execution. Step 3: AI will automatically create files, write code, and run verification. ## Example # File path: sales_report.py import csv from collections import defaultdict import sys def generate_sales_report(input_file, output_file): """Read sales data from CSV, aggregate by month and output report""" # Aggregate data by month monthly = defaultdict(lambda: {"total_sales": 0.0,"orders": 0}) # Read CSV (use utf-8-sig to handle BOM header) with open(input_file,"r", encoding="utf-8-sig")as f: reader =csv.DictReader(f) for row_num, row in enumerate(reader, start=2): try: # Skip completely empty rows if not any(row.values()): continue # Extract fields - skip with warning if required fields are missing date_str = row.get("date","") amount_str = row.get("amount","") if not date_str or not amount_str: print(f"Warning: Row {row_num} missing required fields, skipped") continue # Parse month (take first 7 characters: YYYY-MM) month = date_str[:7] amount =float(amount_str) monthly += amount monthly +=1 except(ValueError,KeyError)as e: print(f"Warning: Row {row_num} has abnormal data ({e}), skipped") continue # Write report