AI Coding

AI-Empowered Custom Software Development

Combine AI technology to boost development efficiency by 50%, quickly bringing every idea to life

From Web apps to mobile Apps, from business systems to SaaS platforms, our full-stack capabilities cover your every need

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Service Scope

Full-stack capabilities, meeting your software needs in one stop

Web App Development

Enterprise websites, SaaS platforms, management systems, portals, and various Web applications.

Mobile App Development

iOS/Android native apps, Flutter/RN cross-platform, and hybrid development.

Business Systems

Custom development of enterprise management systems like ERP/OA/CRM/WMS.

API Development

RESTful APIs, GraphQL interfaces, and third-party system integration.

SaaS Platform Build

Multi-tenant architecture, subscription billing, and data-isolated SaaS product development.

AI Capability Integration

Integration of LLMs, smart search, image recognition, NLP, and other AI features.

AI-Assisted Development Capabilities

Deeply integrating LLMs into the R&D workflow to reshape delivery efficiency with technology

AI-Assisted Architecture Design

Rapidly generate system architecture topologies, database ER diagrams, and API contracts based on LLMs, shortening the early design phase by 60%.

Smart Code Generation (Copilot)

Deep integration with tools like GitHub Copilot to automatically complete business logic and scaffold code, boosting core dev efficiency by over 50%.

AI Automated Test Scripts

Automatically generate unit test cases and E2E test scripts through static code analysis, significantly improving code coverage and reducing regression bugs.

Smart Code Review

AI scans commits in real-time, automatically identifying potential security vulnerabilities, performance bottlenecks, and code smells to ensure delivery meets Clean Code standards.

Multi-language & i18n

Built-in LLM translation engine automatically extracts language packs and provides highly accurate contextual translations, helping software products expand globally seamlessly.

Smart Exception Monitoring

Combining AIOps concepts to semantically analyze production logs and errors, providing automatic alerts and fix suggestions before system downtime occurs.

Full-Stack Tech Architecture Matrix

Based on mature and reliable tech stacks to ensure system security, high availability, and scalability

01

Frontend

ReactVueAngularNext.jsNuxt.js
02

Backend

Node.jsPythonJavaGoRust
03

Mobile

FlutterReact NativeSwift/Kotlin
04

Database

PostgreSQLMongoDBRedisMySQL
05

Cloud

AWSAliCloudTencent CloudGCP
06

AI/ML

OpenAI APIProprietary ModelsTensorFlowPyTorch

Development Process

Standardized agile development process, ensuring timely and high-quality delivery

1

Requirements Analysis

Deep understanding of business needs, outputting detailed requirement docs

2

Architecture Design

Tech stack selection, system architecture, database design

3

UI/UX Design

Interaction design, visual design, prototype confirmation

4

Agile Development

Iterative development, weekly demos, continuous integration

5

Testing & QA

Unit testing, integration testing, UAT acceptance

6

Deployment & Ops

Production deployment, monitoring alerts, continuous maintenance

Frequently Asked Questions

Frequently Asked Questions About Custom Software Development

The budget depends on functional complexity and tech stack. Simple management systems are around 30k-100k RMB, medium SaaS platforms 100k-500k RMB, and large custom projects 500k+ RMB. We offer free requirement assessments to provide an accurate quote.
We use agile methodologies, weekly progress demos, Jira for task tracking, CI/CD pipelines for code quality, and a professional QA team for multiple rounds of testing. Each milestone requires your approval before proceeding.
After project delivery, all source code, design docs, and database scripts belong entirely to you. We do not retain any code copyrights; you are free to use, modify, and further develop it.
Absolutely. Our architecture design accounts for scalability, reserving reasonable interfaces and module boundaries. New features can be smoothly integrated without needing a complete rebuild.
Extremely effective! Our practice shows that AI assistance can boost routine coding efficiency by 40-60%, reduce bug rates by 30%, and cut code review time by 50%. However, AI is an assistive tool; core architecture and key business logic are still controlled by senior engineers.
First, requirements communication and free assessment → Sign contract and kick off project → Phased payments (usually 3-4 installments) → Regular progress reports → Source code and docs delivered upon acceptance → Enter maintenance phase. The whole process is transparent and controllable.

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