Abstract
Generative AI has dramatically accelerated how web applications are written, yet it hasn’t fundamentally changed how applications are built or operated. While AI-powered pair programming tools accelerate development, they still produce static code and have not led to a fundamental shift in how applications are architected or how they behave once deployed.
Our whitepaper, “Driving the Future of Web Application Development”, introduces Dynamic Agentic Generated Applications (DAGA), a new framework where AI agents generate the application’s user interface and middleware logic at runtime. Our approach shifts the focus from maintaining massive static codebases to designing AI agents that generate application behavior in real time.
We define minimal agentic logic and constraints, while the agents handle UI generation, data access, and interaction logic at runtime. Consequently, the code is generated directly in production and rendered in the browser, enabling applications to adapt in real time.
Introduction of the DAGA Concept
DAGA represents a fundamentally new approach to building web software. Instead of delivering a monolithic application, developers create a minimal system of AI agents, and those agents generate the app’s UI and logic on the fly at runtime. In a DAGA-based application, much of the app’s functionality is not pre-coded; it is synthesized in real time by AI, in response to what the user needs at that moment.
Key features of this concept include
Generative AI accelerates coding but doesn’t change application architecture. DAGA introduces runtime generation of UI and logic, replacing massive static codebases with dynamic, adaptive systems that evolve in real time.
Instead of pre-coding every component, DAGA uses AI agents to generate UI, workflows, and middleware logic at runtime. This approach reduces complexity, enables real-time adaptability, and minimizes technical debt.
Agentic applications powered by DAGA can maintain user state and preferences, dynamically adjusting workflows and interfaces without hard-coded logic. This delivers personalized experiences instantly and at scale.
Key Business Impact
What Changes When Software Development Become Agentic
When applications adopt our DAGA Concept, businesses gain significant advantages:
- Reduced code volume for leaner codebase
- Lower maintenance with minimal static code
- Dynamic, adaptive interfaces generated at runtime
- Simplified form creation and validation
- Personalized user experiences through agent memory
- On-demand integrations for flexibility
