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AI Driven Application Development

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Modern app development with AI-native integration

1. Architecture Pillars
  • Focused on building internal platforms for developers to self-serve infrastructure, tools, and services.

  • Enables faster onboarding and standardization.

  • Break down applications into loosely coupled, independently deployable services.

  • Promotes scalability, fault isolation, and flexible deployments.

2. Accelerators & Frameworks
  • Frameworks (e.g., Node.js, Express.js) streamline the building of scalable APIs and services.

  • API Gateways (like Kong, AWS API Gateway) and Serverless Architectures (AWS Lambda, Azure Functions) simplify deployment and scaling.

  • Design systems (e.g., Material UI, Bootstrap) maintain visual and functional consistency.

  • Low-code tools (e.g., OutSystems, Mendix) allow faster delivery with minimal hand coding.

3. Process & Agile Delivery Methodology
  • Define requirements, sprint goals, and user stories.

  • Developers write clean, maintainable code adhering to standards and guidelines.

  • Automated build processes compile and package the code using CI tools.

  • Unit, integration, and performance testing ensures quality before release.

4. DevOps & CI/CD Pipeline
  • Track changes using Git, manage branches, and collaborate (e.g., GitHub, GitLab).

  • Automates building, testing, and deploying code. Ensures reliable, repeatable releases.

  • Provision and manage infrastructure through code (e.g., Terraform, YAML).

  • Promotes consistency, auditability, and rollback capability.

Summary:  Smart Apps – Modern Application Development

Modern application development lifecycle that is AI-Native and SDLC-integrated, combining agile processes, DevOps practices, and modern architecture. It emphasizes modular design through containers, microservices, automation, and toolchains enabling CI/CD, version control, and infrastructure as code.

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