Found 255 repositories(showing 30)
Thinkode
AI-powered code reviews & Copilot for GitLab , Github, Azure DevOps & Bitbucket. Zero setup. Powered by Frontier LLms & Ollama.
syedammarsuhail
No description available
little-fort
Use GitHub Copilot to get code reviews in your Azure DevOps repos
Azure-Samples
An Azure DevOps Copilot Extension Sample
redhat-et
copilot-ops is a CLI tool that boosts up any DevOps repo to a ninja level of Artificially Intelligent Ops Repo
githubabcs-devops
Agentic AI for DevSecOps: Transforming Security with GitHub Advanced Security and GitHub Copilot. GitHub Advanced Security - DevSecOps Guidelines - Unified visibility into DevOps security posture. DevSecOps E2E Demos.
73ai
InfraGPT is an AI SRE Copilot for the Cloud that provides infrastructure management agents through Slack integration. The system consists of multiple services that work together to deliver intelligent DevOps workflows.
microsoft
Sample skills and prompt patterns demonstrating how to use the Azure DevOps MCP Server with GitHub Copilot and agent-based workflows
BasicProtein
专为开发者打造的AI编程提示词工程指南(Prompt Engineering)。精选高质量Prompts,覆盖代码生成/重构/调试/测试/DevOps全流程。适配Claude、GPT-4、Gemini、Copilot等模型,最大化提升编码效率。
PranavNagrecha
Reusable Salesforce skills library for AI coding agents. 100+ skills across Admin, Dev, DevOps, Integration, and Architecture domains, mapped to the Salesforce Well-Architected Framework. Works with Claude Code, Copilot, Codex, and any agent that reads markdown
ajvikram
No description available
berkslv
AI-powered work item lifecycle automation using GitHub Copilot SDK and Azure DevOps.
0GiS0
🚀 Level up Azure DevOps with GitHub Copilot CLI and a Code Review Agent for ADO 🤖
dstamand-msft
An agent that uses GitHub Copilot CLI to review a Pull Request in Azure DevOps.
ovanesb
🧠 Drupal DevOps Co-Pilot — an open-source AI assistant that automates Jira, GitLab, Drush, and EC2 deployments using FastAPI and Ollama. From issue to deployment — faster, smarter, auditable.
diegomancassola23
Azure DevOps extension for code reviews using GitHub Copilot over D365FO projects
amitkumar0206
Multi-agent Python AI system to: **read logs → recommend fixes → sends Notification on Slack**.
Building an Azure DevOps Copilot using Semantic Kernel and Azure OpenAi GPT-4o
Alan-TheGentleman
Gentle AI Enterprise Setup — OpenCode + VS Code Copilot with SDD orchestration for Angular/.NET/Azure DevOps
nelson820125
10 specialized AI agents for GitHub Copilot — PM, Architect, DBA, UI Designer, Project Manager, Frontend, .NET, QA, DevOps — forming a structured software delivery team with defined handoffs, gate reviews, and phased workflow. Also supports Claude Code and OpenAI Codex CLI.
rs-001-ai
AI Code Review Azure DevOps Extension powered by GitHub Copilot
🔍 AI-powered code review CLI for Azure DevOps PRs using GitHub Copilot
paulasilvatech
Hands-on workshop on implementing AI-powered coding solutions for enterprise apps using GitHub Copilot, Azure AI, and agentic DevOps. Boost productivity, code quality, and delivery with intelligent automation.
thekishandev
No description available
jariyahfoundation
Integrates GitHub Copilot CLI into Azure DevOps pipelines for automated integration testing and software quality assurance.
Bot-Maintains
CodXCD is a GitHub App and Copilot Extension designed to automate DevOps workflows. It integrates with GitHub repositories to manage issues, pull requests, and deployments via webhooks. It supports subscription plans, marketplace deployment, and provides monitoring and security features for seamless production use.
SamanAttar
Salesforce AI agent skills for Claude Code, Windsurf, Cursor, Copilot, Agentforce, and more. Enforces admin, Apex, and DevOps best practices.
GusY2K
Y2K Labs — Agent skills for the entire software development lifecycle. Azure DevOps, backlog automation, sprint planning, and more. Works with Claude Code, Cursor, Copilot & 40+ AI agents.
asecurityguru
No description available
grharsha777
Code Vortex is a vendor-neutral, multimodal DevOps AI copilot that lets developers connect repositories, switch between multiple AI models, and use AI to debug, explain, and build applications faster.