Wipro Agentic AI SDLC Orchestrator - Intelligent Development Solution
Wipro Limited · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Overview**
Wipro Agentic AI SDLC Orchestrator is a comprehensive Agentic AI solution that autonomously improves the efficiency and productivity of the Software Development Life Cycle (SDLC) from ideation through deployment, specifically catering to Architect, Designer, and Developer personas. It supports both Greenfield and Brownfield Scenarios.
Show the rest of the publisher’s description (39 more lines)
It is a comprehensive Agentic AI-powered solution that helps developers generate application code, test cases, remediation, documentation. It leverages the AWS best practices and multi-model custom framework including explainability, observability. Solution uses the customer standards to generate entire application code, test cases with higher coverage and documentation through goal-oriented workflows.
**Key Use Cases**
- Agentic User Story Generation
- Agentic Code Generation
- Agentic Unit Test Case Generation
- Agentic Code Remediation
- Automated Documentation Creation
- Multi-Model Personalized Agent
**Key Features**
- User Story Generation: Automatically creates epics and detailed user stories and component summaries through multi-model understanding of UI requirements. It can take the document input and provides the detailed User stories.
- Code Generation: Autonomously generates entire application code across multiple programming languages using multi-model reasoning and natural language understanding.
- Unit Test Generation: Automatically creates or modifies unit tests for Java and Python with goal-oriented coverage targeting >80% statement coverage and >90% function coverage through multi-step analysis.
- Code Remediation: Autonomously identifies and resolves code smells and vulnerabilities using multi-model analysis and integrates with customer Code Quality and Vulnerability tools for intelligent recommendations.
- Document Generation: Intelligently generates comprehensive documentation from source codes with autonomous version control integration and automated test case creation.
- Multi-Model Code Search: Employs multiple AI models to analyse application code dependencies, functionalities, and respond to complex queries through intelligent reasoning.
- Language support: Java, Python, TypeScript, JavaScript, C#, C, C++
**AWS Tool and Services Integration**
- AWS EC2, S3
- Application Load Balancer and API Gateway
- ECS Fargate Clusters and Tasks
- AWS OpenSearch
- Postgres Aurora DB
- KMS/Secrets Manager
- Cognito, IAM, Policies, Roles
- AWS VPC, Subnets
- AWS Bedrock Multi-Model Support or SageMaker Multi-Model Endpoints
**Benefits**
- Enhanced Productivity: Wipro Agentic AI SDLC Orchestrator generates 60-70% of application code and enabling developers to focus on strategic functional logics.
- Intelligent Code Coverage: Agentic unit test case generation enforces superior code coverage and quality through multi-model analysis and goal-oriented testing strategies.
- Multi-Model App Generation: Creates complete working applications from natural language using customer's choice of multiple LLM models with code review, delivering up to 30% higher productivity and faster time-to-market through intelligent automation.
- Can easily integrate to Customer Standards
**Agentic AI Capabilities:**
- Goal-Oriented Reasoning: Autonomously plans and executes complex development and modernization tasks
- Multi-Step Decision Making: Intelligently breaks down complex requirements into actionable steps
- Adaptive Learning: Continuously improves performance based on project patterns and outcomes
- Multi-Model Orchestration: Leverages multiple AI models for specialized tasks and cross-validation
- Caching
- Prebuilt Authorization and Authentication
- Prebuilt Error Handling Framework
Highlights
Highlighted by the publisher on AWS Marketplace.
Generates complete working apps (context-based) from plain english with customers choice of LLM Models, and auto-reviews code which provides upto 30% higher productivity and Time to market.
Bulk unit test generation , code remediation, and document generation from Source codes provides 30-40% of Faster Time to Market and 30% of higher productivity. Seamless Version Upgrades of Python application with lesser manual effort and upto 40-50% productivity.
Agent build and provenance
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