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Low-Code + Agentic AI Pipeline

Proxima's low-code platform uses specialized AI agents at each stage of the Software Development Life Cycle — coordinated and engineer-controlled. Here's how each agent works together to take you from idea to production.

Six Agents. One Unified Pipeline.

Unlike traditional development where each phase operates in isolation, Proxima's AI agents work as a coordinated team. Each agent specializes in a specific phase of the SDLC but shares context with others.

The result? A seamless flow from requirements to deployment, with engineers maintaining full control at every checkpoint.

Every output is reviewable. Every decision is auditable. Every line of code is yours to own and modify.

1
Planning Agent
2
Architect Agent
3
Code Generator Agent
4
Review & Test Agent
5
Documentation Agent
6
DevOps Agent
1

Planning Agent

Understands your business needs and translates them into structured specifications

What It Does

The Planning Agent is your first point of contact. It conducts an intelligent conversation to understand your business domain, functional requirements, user roles, and edge cases.

Using Proxima's low-code DSL (Domain-Specific Language), the agent structures your requirements into a format that downstream agents can process — ensuring nothing is lost in translation.

Key Capabilities

  • Natural language understanding of business requirements
  • Clarifying questions to fill gaps in specifications
  • Use-case mapping and user story generation
  • Functional requirement documentation (FRD) creation
  • Domain-specific terminology recognition
Input: Natural Language "I need an inventory system with stock tracking..."
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Processing: AI Analysis Entity extraction, relationship mapping, gap analysis
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Output: Structured Specs Proxima DSL requirements document
2

Architect Agent

Designs system architecture, data models, and technical blueprints

What It Does

The Architect Agent takes structured requirements and designs a complete system architecture. It defines database schemas, entity relationships, API contracts, and system topology — all based on your scale requirements and tech stack preferences.

The agent understands enterprise patterns: microservices vs monolith trade-offs, caching strategies, load balancing configurations, and data access patterns for different scales.

Key Capabilities

  • Database schema design with proper normalization
  • Entity-relationship modeling and foreign key mapping
  • RESTful API contract definition (OpenAPI/Swagger)
  • System topology and infrastructure layout
  • Caching, indexing, and performance optimization plans
schema.proxima
// Generated by Architect Agent entity Product { id: UUID @primary name: String @required sku: String @unique category: Category @relation stock: Integer @default(0) reorderLevel: Integer } entity StockMovement { id: UUID @primary product: Product @relation type: Enum[IN, OUT, ADJUST] quantity: Integer timestamp: DateTime @auto }
3

Code Generator Agent

Produces production-ready backend APIs, frontend UI, and business logic

What It Does

The Code Generator Agent transforms architectural blueprints into actual code. Unlike simple scaffolding tools, it generates complete, production-ready code with proper error handling, validation, logging, and security patterns.

You choose the stack — Java/Spring Boot, Python/FastAPI, Node.js/Express for backend; React, React Native for frontend — and the agent generates idiomatic code following best practices for your chosen technologies.

Key Capabilities

  • Full CRUD API generation with validation layers
  • React components with forms, tables, and filters
  • Database migrations and DDL scripts
  • Authentication and authorization scaffolding
  • Business logic implementation from requirements
Generated Output
/backend — Spring Boot API with controllers, services, repositories
/frontend — React app with pages, components, hooks
/database — Migration scripts, seed data
/docs — OpenAPI spec, README, setup guide
/config — Environment configs, Docker setup
4

Review & Test Agent

Validates code quality, security, and generates comprehensive test suites

What It Does

The Review & Test Agent acts as your automated code reviewer and QA engineer. It analyzes generated code for quality issues, security vulnerabilities, and adherence to best practices — then generates comprehensive test suites.

It creates unit tests, integration tests, and edge case validations. When issues are found, it iteratively works with the Code Generator to fix them before human review.

Key Capabilities

  • Static code analysis and linting
  • Security vulnerability scanning (OWASP patterns)
  • Unit test generation with edge case coverage
  • Integration test scaffolding
  • Iterative fix loop with Code Generator
ProductService.test.ts
// Generated by Review & Test Agent describe('ProductService', () => { it('creates product with valid data', async () => { const product = await service .create({ name: 'Widget' }); expect(product.id).toBeDefined(); }); it('rejects duplicate SKU', async () => { await expect( service.create({ sku: 'EXISTING' }) ).rejects.toThrow(); }); });
5

Documentation Agent

Generates comprehensive functional and technical documentation for every feature

What It Does

The Documentation Agent automatically generates professional-grade documentation for every feature, module, and API endpoint. It creates both functional documentation for business stakeholders and technical documentation for developers.

Documentation is generated in real-time as code is produced, ensuring it stays synchronized with the actual implementation — eliminating the common problem of outdated docs.

Key Capabilities

  • Functional requirement documents (FRD) per feature
  • Technical design documents (TDD) with architecture details
  • API documentation with request/response examples
  • Database schema documentation with ER diagrams
  • User guides and onboarding documentation
Generated Documentation
FRD_Inventory_Module.md — Functional requirements
TDD_Inventory_Module.md — Technical design
API_Reference.md — Endpoint documentation
DB_Schema.md — Database documentation
User_Guide.md — End-user documentation
6

DevOps Agent

Provisions infrastructure, configures CI/CD, and deploys to production

What It Does

The DevOps Agent handles the "last mile" — taking tested code and deploying it to your target environment. It generates infrastructure-as-code, container configurations, and CI/CD pipeline definitions.

Whether you're deploying to AWS, GCP, Azure, or on-premise infrastructure, the agent adapts its output to your deployment target while following security and operational best practices.

Key Capabilities

  • Dockerfile and docker-compose generation
  • Kubernetes manifests and Helm charts
  • Terraform/CloudFormation for cloud provisioning
  • GitHub Actions / GitLab CI / Jenkins pipelines
  • Environment configuration and secrets management
Container Build Docker images for backend & frontend
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Cloud Provisioning Infrastructure deployed via Terraform
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Production Deployment CI/CD pipeline triggers auto-deploy

The Complete Pipeline

Each agent passes its output to the next, creating a seamless flow from business idea to production deployment — with engineer checkpoints at every stage.

Planning

Requirements → Specs

Architect

Specs → Blueprints

Generator

Blueprints → Code

Reviewer

Code → Tested Code

Docs

Code → Documentation

DevOps

Code → Production

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