AI-era CI is driving selective, reliable test execution

AI-assisted development is exposing CI bottlenecks caused by overloaded runners, slow integration tests, flaky suites, and expensive database or message-broker environments. Practical responses include trunk-based workflows, change-aware filtering, targeted local suites, selective retries, Docker resets, and heavier gates on main; contract-testing and MCP-oriented backend tools add pressure for deterministic, agent-friendly evaluation.