At NewCombin, we’ve redefined software development by putting AI at the core of every process. The result is the AI-Driven Development Framework—a smarter, faster, and more innovative approach that transforms how we work.

This isn’t just a methodology; it’s a philosophy. Every team member is rigorously trained in AI, leveraging the latest tools to maximize efficiency and quality. Born from experience, with internal and client projects, this framework evolves continuously as we refine our tools and adopt new technologies.

In this AI-driven approach, developers act as facilitators—defining objectives, refining AI outputs, and curating data to ensure exceptional results.

How It Works: AI-Driven Development in Action

Our hybrid agile methodology—Discovery, Define, Design, Develop, and Deploy—embraces iteration and continuous improvement, leveraging AI to refine each stage for maximum efficiency and quality. This framework is designed to support already existing projects as well as those from scratch.

1. Discovery: Turning Ideas into Insights

The process begins with our proprietary NC AI Booster, a conversational AI tool designed to streamline and automate the discovery process:

• It gathers client input, asks clarifying questions, and synthesizes insights.
• The system analyzes uploaded requirement documents and AI-generated meeting notes.
• Output: An organized and structured project brief, ready to guide the next phase.

2. Define: From Project Brief to PRD

• The NC AI Booster transforms the project brief into a detailed Product Requirements Document (PRD).
• The PRD is broken down into User Stories and Wireframes, creating actionable tasks that can be used in project management tools.

3. Design: Efficient Collaboration Between AI and Designers

• AI-generated wireframes are imported into Figma, forming the foundation of the design process.
• Designers refine and adapt these wireframes to meet specific client needs, enhancing efficiency.

4. Develop: Accelerating Code Creation with AI

The development phase leverages AI to handle a significant portion of code generation, allowing developers to focus on higher-level problem-solving. This is achieved using Cursor, an AI-enabled IDE, supported by contextual information and pre-defined project guidelines.

1. Context Creation
The first step is to create a detailed context for the AI, ensuring it generates code that aligns with project requirements. This context includes:

• Project Information: All project context is shared with Claude, along with specific guidelines, to create a comprehensive README file. This README, together with the PRD, is then provided to Cursor to guide the code generation process.
• NC Skeleton: Every project begins with a pre-written codebase that defines the architecture, coding standards, and includes reusable code modules. Acting as a blueprint, the NC Skeleton ensures AI-generated code aligns with project requirements, while its reusable modules streamline workflows, standardize practices, and significantly reduce development time.
• Rules and Guidelines: Specific rules for each project and technology stack are defined. These include required modules, functionalities, and technical specifications to guide AI in generating compliant code.

2. Initial Code Generation
Using Cursor, the development team begins establishing the project’s foundation:

• Generating the domain model.
• Creating the API schema.
• Producing comprehensive API documentation.

3. Frontend and Backend Implementation
Once the foundation is set, developers use the AI-enabled IDE Cursor to build the system, with almost all development occurring within this platform:

• Frontend Development:
  • Screen designs are provided to the AI, which converts them into functional code.
  • Interactions with the backend are integrated using the API schema.
  • Developers iterate by refining or completing components as per use case requirements.
• Backend Development:
  • Backend endpoints are implemented through automatic code generation based on the API schema.
  • Unit tests are created automatically to ensure robust functionality.

4. CI/CD Integration
The entire development process is supported by continuous integration and deployment (CI/CD) pipelines that automate deployment to various environments. These pipelines perform key actions to ensure quality, including:

• Validating code quality.
• Running unit tests.
• Conducting AI-powered code reviews.

5. Deploy: From Development to Live Environments

Using infrastructure-as-code templates from the NC Skeleton, AI automatically configures and deploys project environments.

• The CI/CD pipeline ensures seamless releases across all environments with minimal manual intervention.

Proprietary Tools Spotlight

The success of the AI-Driven Development Framework lies in the strength of its proprietary tools. A dedicated team continuously builds on and refines these tools, ensuring they evolve alongside new technologies and client needs.

NC AI Booster

The NC AI Booster is a conversational AI tool that plays a critical role in the Discovery and Define phases of our methodology. It automates requirements gathering, generates detailed project briefs and PRDs, and even produces wireframes for the initial design process.

By enabling rapid feedback implementation from clients and stakeholders, the NC AI Booster drastically increases the efficiency of these phases, ensuring alignment and clarity early in the project lifecycle. Learn more about the NC AI Booster here.

NC Skeleton

Every project begins with a pre-written codebase that defines the architecture, coding standards, and includes reusable code modules. Acting as a blueprint, the NC Skeleton ensures AI-generated code aligns with project requirements, while its reusable modules streamline workflows, standardize practices, and significantly reduce development time.

Key Benefits

The AI-Driven Development Framework delivers measurable results:

1. Productivity Gains: Teams achieve a 20–80% efficiency increase, allowing them to focus on innovation and high-value tasks rather than repetitive processes.
2. Enhanced Quality: By standardizing processes, minimizing communication gaps, and enabling faster feedback loops, the framework significantly reduces errors and accelerates implementation. As a result, quality is improved dramatically.
3. Motivated Team: Working within an AI-driven vision inspires and motivates the team, fostering a culture of innovation and continuous learning. This ensures they remain engaged and driven to refine their skills and adapt to evolving technologies.

Future of AI in Software Development

At NewCombin, we believe the future of software development is AI-driven, and we’re actively shaping it. Every day, our teams dedicate time to mastering the latest tools and trends. A specialized team focuses on refining our methodology and evolving internal tools like NC AI Booster and NC Skeleton to stay at the forefront of innovation.

This strategic investment ensures we not only adapt to the future of AI but lead the way in defining it.

Ready to build your product and accelerate your software development process? This framework is designed to support already existing projects as well as those from scratch. Contact us to discover how you can use this framework.