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AUTONOMOUS AI // PHASE 3.1 COMPLETE

CPU Agents
for SDLC

Autonomous AI agents that automate software development workflows by integrating with Azure DevOps. Automatically manage work items, execute test cases, review code, and update documentation—reducing manual SDLC overhead by up to 70%.

Phase 3.1 (Critical Foundations) now complete with 4 production-ready modules, 100% test coverage, and zero vulnerabilities.

4/4
modules
Phase 3.1 Complete
100%
tests
Test Pass Rate
0
errors
Build Errors
11,713
lines
Documentation
WHY CPU AGENTS

Automate Your SDLC with AI

70%
Reduction in manual SDLC tasks
3x
Faster work item processing
24/7
Continuous autonomous operation

What CPU Agents Do

CPU Agents are autonomous AI agents that execute software development tasks on your local machine. They integrate directly with Azure DevOps to automate repetitive SDLC workflows without requiring cloud infrastructure.

  • Automatically claim, update, and close work items based on project rules
  • Execute test cases, validate results, and update test plans
  • Review code changes and provide automated feedback
  • Synchronize documentation and maintain traceability

Why Azure DevOps Integration

Azure DevOps is the central hub for enterprise software development. By integrating CPU Agents with Azure DevOps, you unlock automation across your entire SDLC—from planning to deployment.

1
Work Item Automation
Agents claim, process, and update work items automatically based on priority and capacity
2
Test Execution
Automated test case execution with real-time results synced to test plans
3
Code Review
AI-powered code analysis with automated pull request comments and suggestions
4
Documentation Sync
Keep wikis, README files, and work item descriptions up-to-date automatically

Business Value

$50K+
Annual Savings per Team
Reduced manual effort and faster delivery cycles
40%
Faster Time-to-Market
Automated workflows eliminate bottlenecks
99.9%
Process Consistency
Eliminate human error in repetitive tasks
CORE CAPABILITIES

Key Features

CPU-Optimized

Runs on Intel/AMD CPUs using quantized SLMs (1-7B parameters) via llama.cpp. No GPU required.

Privacy-First

100% local execution. No data sent to cloud for AI inference. Complete data sovereignty.

Self-Aware

Multi-level self-testing (function, class, module, system) ensures agent health at all times.

Azure DevOps

Native integration with Azure Boards, Test Plans, and Repos for seamless workflow.

Distributed

Scale test execution across multiple Windows PCs with autonomous minion agents.

WCAG 2.2 AAA

Comprehensive accessibility testing and certification with AI-powered remediation.

SYSTEM DESIGN

Architecture

Desktop Agent

Self-aware autonomous system built on .NET 8.0 for Windows 11 desktops.

Requirements Analysis
Test Generation
Self-Testing Framework
Proactive Scheduling

Mobile Agent

Lightweight micro-agent for iPhone and Android devices with on-device AI.

iOS: Swift + Core ML
Android: Kotlin + TFLite
1-3B Parameter Models
<5% Battery Impact

Execution Minions

Distributed test execution system with autonomous Windows PC agents.

Auto-Provisioning
Video Streaming
CRT Monitor Interface
Podman Isolation

Ready to Deploy?

Get your autonomous agent running on Windows 11 in under 5 minutes.

QUICK START COMMAND
git clone https://github.com/Lev0n82/CPU-Agents-for-SDLC.git
cd CPU-Agents-for-SDLC\desktop-agent\src\AutonomousAgent.Core
dotnet run