? 1. User Interaction

  • Interface: Chat UI or structured form.

  • Purpose: Begin a guided conversation or survey with the customer.

  • Tools: Custom frontend or platforms like Retool, WebForms, or even voice input.

? 2. Requirement Elicitation by LLM (Analyst Role)

  • Tasks:

    • Ask domain-specific, clarifying questions.

    • Identify user types, workflows, features, edge cases.

  • Output:

    • Raw notes / structured prompt information.

  • Optional: Use memory or session persistence for long interactions.

? 3. Software Requirements Specification (SRS) Generation

  • Format:

    • Based on IEEE 830 / ISO/IEC 29148 templates.

    • Includes: Functional requirements, non-functional requirements, constraints, user roles, data requirements.

  • Output:

    • Editable document (Markdown, PDF, Word, etc.).

    • Option to present a summarized and a full version for approval.

? 4. Architecture & Design Planning

  • Tasks:

    • Choose tech stack based on constraints and goals.

    • Generate:

      • Folder structure.

      • Database schema (ERD or SQL).

      • API endpoints.

      • Auth models.

  • Output:

    • App blueprint (YAML/JSON format + visual diagrams).

    • ERD (Entity-Relationship Diagram).

    • System diagram and routes.

? 5. Modular Code Generation

  • Modular pipeline:

    • ? Frontend: HTML/CSS/React/Vue components.

    • ? Backend: Controllers, Services, Database Models.

    • ? Auth: JWT/OAuth-based setup.

    • ? Data: SQL/NoSQL schema, migrations.

  • Generated in isolated units using templates and then stitched.

? 6. Integration & Contextual Stitching

  • Purpose:

    • Connect modules together, resolve dependencies.

    • Inject routing, shared components, middleware, etc.

  • Tools:

    • LLM context manager / memory tool (LangChain, Semantic Kernel).

  • Output:

    • Coherent multi-file project.

? 7. Test Case & Validation Script Generation

  • Tasks:

    • Unit tests for business logic.

    • Integration tests for API endpoints.

    • Basic UI tests (if applicable).

  • Output:

    • Tests in Jest / xUnit / PyTest / Mocha / etc.

? 8. Manual Review / Human-in-the-loop Approval

  • Interface:

    • Git diff viewer.

    • Documentation comparison tools.

  • Optional Actions:

    • Accept, edit, or re-generate components.

    • Provide additional constraints or corrections.

? 9. Build & CI/CD Pipeline Generation

  • Tasks:

    • Generate Dockerfile, docker-compose.yml.

    • Set up GitHub Actions / GitLab CI / Azure Pipelines.

    • Optional: Infrastructure-as-code using Terraform or Pulumi.

  • Output:

    • Ready-to-run pipeline.

    • Deployment scripts for staging and production.

? 10. App Deployment

  • Targets:

    • Vercel / Netlify (frontend).

    • Render / Railway / Heroku / AWS / GCP (backend).

    • Optional: Static preview links for UI-only parts.

  • Tools:

    • Automatic integration with GitHub/GitLab.

    • Environment variable injection.

? 11. Feedback & Refinement Loop

  • Mechanism:

    • Collect user feedback.

    • Update requirements.

    • Re-run pipeline partially.

  • Optional:

    • Use analytics or user behavior to suggest improvements.

    • Prompt user with “Would you like to add a feature?” style flows.