Automate Your SDLC with AI
What Can CPU Agents Do?
- Requirement Clarity: Evaluate requirements, ask clarifying questions, provide industry-standard examples
- Test Coverage: Generate unit, class, module, integration, E2E functional, and system integration tests
- Quality Assurance: Security scanning, performance optimization, WCAG 2.2 AAA accessibility certification
- SDLC Automation: Code reviews, documentation updates, defect fixes, test optimization, automation, execution
Why Azure DevOps Integration?
Seamless integration with Azure Boards, Test Plans, and Repos enables agents to autonomously manage the entire SDLC workflow without manual intervention. Agents claim work items, execute tests, update documentation, and track progress—all within your existing Azure DevOps environment.
- Automated work item claiming with ETag-based concurrency control
- Test case execution and result tracking via Azure Test Plans
- Git operations (clone, commit, push, merge) via LibGit2Sharp
- Offline synchronization with SQLite caching and conflict resolution
Complete SDLC Automation
From requirement evaluation to test execution, CPU Agents automate every stage of the software development lifecycle with local AI decision-making and zero cloud dependencies.
Requirement Clarity Evaluation
Automated assessment of requirement quality with AI-powered clarifying questions and industry-standard examples. Ensures requirements meet acceptance criteria before development begins.
Comprehensive Test Coverage
Automated generation of unit tests, class coverage, module coverage, integration tests, and requirements-based E2E functional/system integration tests with 95%+ success rate.
Quality Assurance Automation
Security vulnerability scanning, performance optimization, WCAG 2.2 AAA accessibility certification, and automated issue resolution with full audit trails.
SDLC Automation
Code reviews, documentation updates, defect fixes, test coverage optimization, test automation generation, and test execution orchestration—reducing manual overhead by 70%.
Local AI Decision-Making
vLLM/Ollama integration with CPU-optimized models (Granite 4, Phi-3, Llama 3) for intelligent code analysis, conflict resolution, and root cause analysis. Zero cloud dependencies.
Azure DevOps Integration
Native integration with Azure Boards, Test Plans, and Repos. Automated work item management, test case execution, and Git operations with offline synchronization.
Production-Ready Components
Modular architecture with 57 classes across multiple releases, built on .NET 8.0 with local AI integration via vLLM (production) or Ollama (development).
Agent Host
Autonomous polling loop with workflow engine built on .NET 8.0 for Windows 11.
- 11 Built-in Actions
- 3 Pre-built Workflows
- OpenTelemetry Instrumentation
- JSON Workflow Definitions
AI Decision Module
Local CPU-based AI via Ollama for intelligent code analysis and decision-making with quantized models.
- Granite 4 / Phi-3 / Llama 3
- Code Quality Scoring
- Security Vulnerability Detection
- Test Obsolescence Analysis
Core Services
45 production-ready classes across authentication, Git, test plans, and resilience.
- Multi-Auth (PAT, Cert, MSAL)
- LibGit2Sharp Integration
- Offline Synchronization
- Performance Optimization
Next Planned Releases
The most requested and highest-impact capabilities, grounded in documented design specifications and engineering research.
Automated Test Generation
GUI object mapping, database discovery, and Playwright test generation — 70% reduction in test authoring time.
Distributed Agent Execution
Hub-node architecture for parallel test execution across multiple workstations with screen recording.
Security Hardening
Podman rootless isolation, CycloneDX SBOM on every build, 5-stage supply chain gatekeeping.