Intelligent orchestration in the AI era: GitLab's SDLC pitch
GitLab argues that intelligent orchestration across the SDLC is key to turning AI promise into predictable, secure delivery. A recent New Stack piece outlines GitLab’s view that the “AI paradox” (big potential, messy outcomes) is best addressed by consolidating workflows and enforcing policy-driven orchestration across the pipeline, rather than adding more disconnected tools ([The New Stack: How intelligent orchestration transforms software innovation](https://thenewstack.io/ai-paradox-gitlab/)). The emphasis is on governing how and when AI is used in coding, testing, and release, with automated gates, standardized telemetry, and clear ownership. For engineering leaders, the takeaway is to treat AI as a capability embedded in DevSecOps—policies, change-aware automation, and feedback loops—so teams can reduce cycle time without losing control over cost, quality, and compliance.