Integrating AI-driven design, implementation, and quality assurance to help accelerate enterprise system development and improve quality
TIGEREYE Inc. (Headquarters: Tokyo; CEO: Gaku Kamimura) announces the launch of “AI-Driven Development Framework,” a development framework that supports AI-driven development.
AI-Driven Development Framework is designed to use AI not merely as a code-generation tool, but to embed it throughout the entire development lifecycle, from design support, implementation support, test generation, and code review to quality assurance, achieving both development speed and quality.
The framework has also been used in a project to develop an enterprise intranet AI system used by approximately 10,000 people. After approximately seven weeks of development, approximately 250,000 lines of code, and approximately 1,700 commits, the system is now operating in a commercial production environment.
The growing importance of quality assurance as AI use expands
In recent years, software development using generative AI has spread rapidly. While development speed has improved dramatically, new challenges have also emerged, including duplicated AI-generated code, increased review workload, insufficient testing, accumulated technical debt, and a lack of established operational rules. Especially in systems above a certain scale, there are many cases where human-centered quality management processes cannot keep up with the speed of AI-driven development.
To address these challenges, TIGEREYE developed “AI-Driven Development Framework” as an AI-driven development framework that combines development by AI with quality assurance by AI.
What is AI-Driven Development Framework?
AI-Driven Development Framework is a development framework for achieving continuous quality assurance while embedding AI throughout the development process.
AI supports everything from design, such as API design and database design, to backend and frontend implementation, test generation, code review, and documentation.
In addition, AI reviews and inspects the quality of the generated code, building a continuous improvement cycle.
This creates an environment where developers can focus on higher-level work, such as design decisions and quality decisions, rather than on implementation work itself.
Quality assurance process by AI
This framework emphasizes not only that “AI writes code,” but also that “AI verifies quality.”
Implemented code is reviewed by multiple AI models, which continuously check for design inconsistencies, missing exception handling, performance risks, security risks, and more.
The framework also automatically generates normal-case, error-case, and boundary-value tests, estimates the causes of failures through log analysis, and continuously proposes refactoring.
In addition, build, lint, unit tests, and integration tests run automatically in the CI/CD environment, so that only changes that meet quality standards are merged.
By achieving both AI-driven development speed and quality assurance, the framework supports continuous development and operation even for large-scale systems.
Use case in an enterprise system
This framework was used in the development of an enterprise intranet AI system used by approximately 10,000 people.
The target system integrates multiple business systems, including:
- AI chat
- Facility reservations
- Visitor management
- Google Workspace integration
- Authentication infrastructure
- Admin portal
Development took approximately seven weeks, with approximately 250,000 lines of code, approximately 1,700 commits, and a development team of about 30 people. The system is still operating in a commercial production environment today.
For a project of a scale that would take several months to more than a year with conventional development, combining AI-driven development with quality assurance processes made it possible to develop the system and put it into commercial operation in a short period.
Services offered
TIGEREYE offers the following services using AI-Driven Development Framework:
- Support for adopting AI-driven development
- Assessment of existing systems
- Quality assurance process design
- Development guideline preparation
- CI/CD setup support
- Contract development using AI-driven development
- Hands-on support for enterprises
Service page
For details on AI-Driven Development Framework, please see the service page below.
https://tigereye.ai/en/offerings/fde/ai-driven-development/
Going forward, TIGEREYE will provide support for adopting AI-driven development and development support to a wide range of organizations, from startups to large enterprises.
Through application to existing systems and support for quality improvement, we also aim to spread a software development foundation suited to the AI era.
Start by telling us about the challenges you want to solve with AI
Toward workplaces where AI is simply part of everyday work.