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Results for “ai-governance”
- software-engineering
A Pre-Launch GenAI Risk Checklist for Internal Chatbots and Developer Tools
Turn NIST’s generative AI risk guidance into a practical release gate for a coding assistant, repository chatbot, or internal support bot. Use this checklist to test data exposure, harmful outputs, human review, evaluation coverage, and incident response before enabling real users.
- productivity
Build a Faster Technical Knowledge Feed With AI Curation, Tags, and Weekly Reviews
Turn an AI-driven news feed into a practical technical reading system. This workflow shows how to filter articles, save only reusable ideas, tag them consistently, and convert a week of reading into decisions and experiments.
- ci-cd
A Reviewer Playbook for AI-Generated GitHub Actions Workflows
AI-generated GitHub Actions YAML can be syntactically correct while creating a direct path from a forked pull request to repository credentials. Use this workflow-specific review playbook to inspect permissions, action pins, triggers, interpolation, secrets, and checkout context before merging.
- software-engineering
A 10-Point Review Rubric for AI-Generated Pull Requests That Catch Architectural Debt
AI-generated pull requests can pass every visible test while quietly creating duplicate policy, unsafe boundaries, and unsupported dependencies. Use this five-gate, 10-point rubric to decide what can merge, what needs follow-up, and what needs an architectural redesign.
- software-engineering
GitHub Copilot Agent Mode vs Copilot Edits in VS Code: A Task-Selection Workflow for Safer Changes
Use Copilot Edits for bounded changes you can specify and review file by file. Use agent-oriented workflows when a task requires discovery, implementation, testing, and iteration—and add explicit checkpoints before generated changes reach a branch.
