Tag: Engineering Governance
GitHub Puts Copilot in the Approval Seat for Pull Requests
Tom Smith | | AI code review, AI coding, AI Governance, automated code review, branch protection, code review, Copilot code review, developer productivity, developer tools, devops, Engineering Governance, github, GitHub approvals, GitHub Copilot, PR approvals, pull requests, software development, software lifecycleGitHub Copilot can now submit binding pull request approvals, moving AI code review from advisory feedback into the merge decision itself ...
Risk-Based Review for Infrastructure as Code Pull Requests
Naga Krishna Reddy Muppidi | | automated review systems, blast radius analysis, change approval workflow, change management, CI/CD governance, cloud infrastructure, Cloud Security, deployment risk, deployment safety, devops, devsecops, Engineering Governance, engineering productivity, gitops, IaC review, infrastructure as code, infrastructure auditing, infrastructure automation, infrastructure change tracking, infrastructure compliance, infrastructure controls, infrastructure delivery, Infrastructure Governance, infrastructure observability, infrastructure reliability, infrastructure risk scoring, infrastructure security, operational risk management, platform engineering, platform operations, platform team workflows, policy as code, production changes, production deployments, pull request review, reviewer fatigue, reviewer workflows, risk assessment, risk-based review, security review automationNot every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When every change ...
Why Governance Determines Whether Agentic AI Accelerates or Stalls Engineering
Eric Paulsen | | agentic AI, Agentic Workflows, AI code review, auditability, Automated Refactoring, Code Completion, Developer Velocity, Engineering Governance, Governance Debt, Parallel Engineering, Risk-based Governance, software development lifecycle SDLCAI coding tools offer rapid productivity gains, but "governance debt" often slows delivery. Learn how to embed risk-based controls and auditability into agentic AI workflows to scale engineering capacity ...
