[Up to 90% Reduction in Development Time] Released 'GoDD', an AI-driven development framework that completes everything from requirements definition to deployment using natural language. Enables direct specification editing by non-engineers.
ripla Inc. released 'GoDD', an AI-driven development framework that reduces development time by up to 90%. It allows non-engineers to edit specifications directly using natural language, optimizing the entire organizational workflow.
📋 Article Processing Timeline
- 📰 Published: April 9, 2026 at 21:00
- 🔍 Collected: April 9, 2026 at 12:30
- 🤖 AI Analyzed: April 20, 2026 at 08:30 (260h 0m after Collected)
ripla Inc. (Location: Shibuya-ku, Tokyo, Representative Director and CEO: Ryo Haritaya) will begin providing development support and services utilizing its proprietary AI-driven development framework 'GoDD', which streamlines the entire development workflow.
Background: Why System Development is Slow and Expensive
Until now, ripla has supported client companies in product development, business system development, and DX promotion, primarily through scratch development by members with backgrounds in IT operating companies. Development productivity has steadily improved with the evolution of AI coding tools, and ripla has actively engaged in utilizing AI. In the process, we realized two important things.
1. Individual AI Use is Insufficient - Development Efficiency Increases Further with Organizational Level AI Utilization
Code generation AI is evolving rapidly, and individual development productivity is improving dramatically. However, in many fields, AI utilization stops at coding tasks, and very few development teams have consistently integrated AI through requirements definition, testing, review, and specification management. Just having individuals use AI tools does not dramatically change the speed of the entire development process. Development efficiency improves dramatically only when AI is introduced into the entire development workflow at the organizational level. This is something ripla has repeatedly realized in its own projects.
2. The Next Bottleneck is the Communication Cost in Requirements Definition
When AI is utilized at the organizational level and development speed increases significantly, the bottleneck in the development process shifts from the 'task of writing code' to the 'human-to-human communication required for requirements definition'. The general process for requirements definition is as follows:
1. The DX promotion department or business manager conveys the requirement, saying 'We want to build a system like this.'
2. Interactions to align on the requirements.
3. (text cuts off)
Background: Why System Development is Slow and Expensive
Until now, ripla has supported client companies in product development, business system development, and DX promotion, primarily through scratch development by members with backgrounds in IT operating companies. Development productivity has steadily improved with the evolution of AI coding tools, and ripla has actively engaged in utilizing AI. In the process, we realized two important things.
1. Individual AI Use is Insufficient - Development Efficiency Increases Further with Organizational Level AI Utilization
Code generation AI is evolving rapidly, and individual development productivity is improving dramatically. However, in many fields, AI utilization stops at coding tasks, and very few development teams have consistently integrated AI through requirements definition, testing, review, and specification management. Just having individuals use AI tools does not dramatically change the speed of the entire development process. Development efficiency improves dramatically only when AI is introduced into the entire development workflow at the organizational level. This is something ripla has repeatedly realized in its own projects.
2. The Next Bottleneck is the Communication Cost in Requirements Definition
When AI is utilized at the organizational level and development speed increases significantly, the bottleneck in the development process shifts from the 'task of writing code' to the 'human-to-human communication required for requirements definition'. The general process for requirements definition is as follows:
1. The DX promotion department or business manager conveys the requirement, saying 'We want to build a system like this.'
2. Interactions to align on the requirements.
3. (text cuts off)