Software Engineering Team Collection@GitHub
Following my post of AI Native Engineering Flow, I have published the engineering advisor agents as a Software Engineering Team collection GitHub’s official Awesome Copilot repository.
Please try these out and provide feedback if they are useful for your teams. Let me know what works, what doesn’t, and what other agents would help your engineering organization.
What’s Available:
The Software Engineering Team collection includes 7 specialized agents:
🎨 SE: UX DesignerPerforms Jobs-to-be-Done analysis and creates user journey mapping artifacts. Helps ensure you’re building the right thing before
you invest in building it.
📝 SE: Tech WriterSpecializes in technical documentation, blog posts, Architecture Decision Records (ADRs), and user guides. Keeps your documentation
current without the usual overhead.
🔄 SE: DevOps/CIHandles CI/CD pipeline debugging and deployment troubleshooting. Your go-to when builds break or deployments fail.
📋 SE: Product ManagerCreates GitHub issues with proper business context and clear acceptance criteria. Bridges the gap between user needs and
engineering execution.
⚖️ SE: Responsible AIConducts bias testing, accessibility compliance (WCAG), and ethical development review. Because responsible AI isn’t
optional—it’s essential.
🏗️ SE: ArchitectPerforms architecture reviews using Well-Architected frameworks. Catches design issues before they become technical debt.
🔒 SE: SecurityReviews code for OWASP Top 10 vulnerabilities, LLM/ML security concerns, and Zero Trust compliance. Security from the start, not as an afterthought.
Each agent includes detailed instructions and can be integrated into your existing workflows. They’re designed to be modular—pick the agents that fit your team’s needs.