Traditional development process:Requirements → Design → Coding → Debugging → Deployment (Weekly)Vibe Coding process:Describe requirements in natural language → AI generates code → Preview → Fine-tune → Deploy (Minute-level)
Feature | Value for Vibe Coding |
SQL standard | AI models have the most comprehensive training data for SQL syntax. |
Rich extensions | pgvector, Apache AGE, and PostgREST enable AI to invoke more capabilities. |
REST API | The frontend can directly invoke via HTTP, requiring no backend code. |
RLS security | Declarative security policies are easy for AI to generate correctly. |
JSONB | Flexible schema that adapts to rapid iteration. |
Scenario | Description | Technology Stack |
No-Code Table Creation | Help me create a user table and an order table. | DDL generation |
Full-Stack Application | Build a to-do application. | React + PostgREST + PostgreSQL |
AI Application | Build a document-based Q&A bot. | pgvector + tencentdb_ai |
Data Dashboard | Display the sales data trend for this week. | SQL + ECharts |
Mini Program | Build a food ordering mini program. | WeChat Mini Program + CloudBase + PostgreSQL |
CREATE TABLE users (id BIGSERIAL PRIMARY KEY,username TEXT UNIQUE NOT NULL,email TEXT UNIQUE NOT NULL,avatar_url TEXT,created_at TIMESTAMPTZ DEFAULT NOW());CREATE TABLE posts (id BIGSERIAL PRIMARY KEY,author_id BIGINT REFERENCES users(id),title TEXT NOT NULL,content TEXT NOT NULL,embedding vector(1024),status TEXT DEFAULT 'draft',published_at TIMESTAMPTZ,created_at TIMESTAMPTZ DEFAULT NOW());CREATE TABLE comments (id BIGSERIAL PRIMARY KEY,post_id BIGINT REFERENCES posts(id),user_id BIGINT REFERENCES users(id),content TEXT NOT NULL,created_at TIMESTAMPTZ DEFAULT NOW());CREATE TABLE tags (id SERIAL PRIMARY KEY,name TEXT UNIQUE NOT NULL);CREATE TABLE post_tags (post_id BIGINT REFERENCES posts(id),tag_id INT REFERENCES tags(id),PRIMARY KEY (post_id, tag_id));-- Vector indexCREATE INDEX idx_posts_embedding ON postsUSING hnsw (embedding vector_cosine_ops);
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