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AI Backend Builder
for Prototype to Production

Generate 100% working backends through conversation

Powered by AI-friendly compilers that generate error-free code

Real Examples

See what AutoBE can build with different AI models

Todo

z-ai/glm-5
Analyzeactors: 1, documents: 11
Analyze Phase
Token Usage: 653.8K
in: 530.1K / out: 123.7K
Function Calls: 25 / 26 (96.2%)
Databasenamespaces: 2, models: 4
Database Phase
Token Usage: 776.6K
in: 744.8K / out: 31.8K
Function Calls: 27 / 28 (96.4%)
Interfaceoperations: 18, schemas: 22
Interface Phase
Token Usage: 17.09M
in: 16.72M / out: 369.4K
Function Calls: 193 / 310 (62.3%)
Testfunctions: 56
Test Phase
Token Usage: 5.75M
in: 5.45M / out: 298.9K
Function Calls: 145 / 176 (82.4%)
Realizefunctions: 26
Realize Phase
Token Usage: 1.59M
in: 1.50M / out: 92.9K
Function Calls: 58 / 67 (86.6%)
βœ“Function Calling Success Rate
73.81%
⏱Elapsed Time
2h 51m 32s
🧠Total Tokens
25.86M
in: 24.94M (699.1K cached)
out: 916.6K

Bbs

z-ai/glm-5
Analyzeactors: 1, documents: 16
Analyze Phase
Token Usage: 1.14M
in: 954.1K / out: 186.3K
Function Calls: 40 / 43 (93.0%)
Databasenamespaces: 9, models: 28
Database Phase
Token Usage: 3.58M
in: 3.41M / out: 169.0K
Function Calls: 112 / 114 (98.2%)
Interfaceoperations: 59, schemas: 79
Interface Phase
Token Usage: 65.37M
in: 64.14M / out: 1.23M
Function Calls: 698 / 1068 (65.4%)
Testfunctions: 188
Test Phase
Token Usage: 17.81M
in: 17.00M / out: 808.4K
Function Calls: 439 / 469 (93.6%)
Realizefunctions: 96
Realize Phase
Token Usage: 7.10M
in: 6.71M / out: 391.1K
Function Calls: 210 / 257 (81.7%)
βœ“Function Calling Success Rate
76.83%
⏱Elapsed Time
17h 57m 0s
🧠Total Tokens
95.01M
in: 92.22M (3.42M cached)
out: 2.79M

Reddit

z-ai/glm-5
Analyzeactors: 1, documents: 11
Analyze Phase
Token Usage: 718.5K
in: 570.0K / out: 148.6K
Function Calls: 25 / 28 (89.3%)
Databasenamespaces: 7, models: 22
Database Phase
Token Usage: 3.21M
in: 2.98M / out: 222.7K
Function Calls: 93 / 95 (97.9%)
Interfaceoperations: 73, schemas: 82
Interface Phase
Token Usage: 71.72M
in: 70.40M / out: 1.33M
Function Calls: 789 / 1215 (64.9%)
Testfunctions: 188
Test Phase
Token Usage: 24.51M
in: 23.54M / out: 968.3K
Function Calls: 461 / 576 (80.0%)
Realizefunctions: 113
Realize Phase
Token Usage: 11.85M
in: 11.33M / out: 524.5K
Function Calls: 285 / 370 (77.0%)
βœ“Function Calling Success Rate
72.37%
⏱Elapsed Time
13h 10m 46s
🧠Total Tokens
112.01M
in: 108.82M (4.87M cached)
out: 3.19M

Shopping

z-ai/glm-5
Analyzeactors: 3, documents: 17
Analyze Phase
Token Usage: 1.24M
in: 952.7K / out: 284.0K
Function Calls: 38 / 40 (95.0%)
Databasenamespaces: 8, models: 33
Database Phase
Token Usage: 5.02M
in: 4.81M / out: 216.5K
Function Calls: 125 / 129 (96.9%)
Interfaceoperations: 119, schemas: 148
Interface Phase
Token Usage: 167.10M
in: 164.73M / out: 2.37M
Function Calls: 1329 / 2092 (63.5%)
Testfunctions: 325
Test Phase
Token Usage: 56.62M
in: 54.10M / out: 2.52M
Function Calls: 870 / 1048 (83.0%)
Realizefunctions: 178
Realize Phase
Token Usage: 22.96M
in: 22.00M / out: 957.6K
Function Calls: 492 / 699 (70.4%)
βœ“Function Calling Success Rate
71.21%
⏱Elapsed Time
7h 51m 6s
🧠Total Tokens
252.94M
in: 246.60M (9.23M cached)
out: 6.35M

Why Choose AutoBE?

Powered by advanced AI agents and compiler validation

⚑

Intelligent Agents

40+ specialized agents collaborate

From requirements analysis to API implementation - the entire waterfall development process is fully automated by our intelligent agent system.

β€’ Analyze β€’ Database β€’ Interface β€’ Test β€’ Realize

βœ“

AST-Based Generation

100% compilation guaranteed

AI generates Abstract Syntax Trees first, then compilers validate and generate code - ensuring structural correctness every time.

TypeScript β€’ Prisma β€’ OpenAPI β€’ Zero Errors

πŸš€

Modern Tech Stack

Proven enterprise frameworks

Built with TypeScript, NestJS, and Prisma - the most trusted tools for enterprise-grade backend applications.

PostgreSQL β€’ SQLite β€’ Production-Ready

πŸ“š

Enterprise Ready

Complete development lifecycle

Comprehensive documentation, E2E testing, and clean architecture that juniors can understand and seniors can extend with AI assistants.

Full Documentation β€’ Testing β€’ Maintainable Code

πŸ’°

Cost Effective

Reduce development time & cost

From months to hours of development time. Significantly reduce backend development costs while maintaining enterprise-grade quality.

Time Saving β€’ Cost Reduction β€’ High ROI

🌐

Open Source & Extensible

Flexible and community-driven

Open source project with support for multiple LLMs (GPT-4.1, Qwen3), local development, and seamless integration with AI coding assistants.

Multi-LLM Support β€’ Local Setup β€’ AI Assistant Ready

Technical Innovation

Why AutoBE achieves 100% compilation success where others fail

AI-Friendly Compilers

βœ•

Traditional AI Tools

Generate code as text β†’ Often contains syntax errors

βœ“

AutoBE Approach

AI generates AST β†’ Compiler validates β†’ Perfect code generation

// AutoBE Process
1. AI β†’ Abstract Syntax Tree
2. Compiler β†’ Validates Structure
3. Generator β†’ Perfect TypeScript
βœ“ 100% Compilation Success

Automatic SDK Generation

Every backend comes with a type-safe client SDK - zero configuration, 100% type safety

The SDK powers both frontend integration and E2E test generation, creating a robust feedback loop that ensures backend stability

import api, { IPost } from "autobe-generated-sdk";

// Type-safe API calls with full autocomplete
const connection: api.IConnection = {
  host: "http://localhost:1234",
};
await api.functional.users.login(connection, {
  body: {
    email: "user@example.com",
    password: "secure-password",
  },
});

// TypeScript catches errors at compile time
const post: IPost = await api.functional.posts.create(connection, {
  body: {
    title: "Hello World",
    content: "My first post",
    // authorId: "123" <- TypeScript error if this field is missing!
  },
});
πŸ“¦

Zero Configuration

Auto-generated with your backend

πŸ”’

100% Type Safety

Full TypeScript support & validation

⚑

Frontend Ready

Works with React, Vue, Angular

πŸ§ͺ

E2E Test Integration

Powers AI-generated test suites

Current Limitations

Transparent about what we're still working on

⚑

Runtime Optimization in Progress

While we guarantee 100% compilation success, runtime behavior may need testing and refinement. Our v1.0 release (Q4 2025) targets 100% runtime success.

Current: 100% Compilation βœ“
Target: 100% Runtime Success
πŸͺ™

Token Consumption

Complex projects require significant AI tokens. We're implementing RAG optimization to reduce token usage by up to 70%.

Simple Todo App:~4M tokens
E-Commerce Platform:~250M tokens
🎨

Design Interpretation

AI-generated designs may differ from your vision. Always review the generated specifications before implementation.

Tip: Provide detailed requirements for better results

πŸ”§

Post-Generation Maintenance

AutoBE focuses on initial generation. For ongoing maintenance, combine with AI coding assistants like Claude Code.

AutoBE + Claude Code = Full Development Lifecycle

Despite these limitations, AutoBE significantly accelerates backend development

View Our Roadmap→
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