Maximize CI/CD efficiency using AI and a vertically integrated stack
summary
Shows an actual Bitrise setup that runs an agentic AI stack which analyzes failed builds, spawns a fixer build that edits code, opens a PR and attaches an automated code review (which caught an iOS regression), and integrates with VS Code via MCP to run and validate fixes locally. Reports concrete wins: DuckDuckGo Android builds drop from 6:51 to 3:49 with 16 vCPUs, remote build cache saves ~35%, test sharding saves ~6 minutes per flavor, and a vertically integrated Mac mini orchard supports weekly image rolls and reliable VM metrics.
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chapters (12)
- 0:00Introduction
- 1:05CI/CD workflow and AI
- 3:59AI paradigms for CI/CD
- 5:06AI issue analyzer in Bitrise
- 8:01AI PR reviewer
- 9:29Future of AI agentic systems
- 12:04Developer environments with LLM
- 17:03CI/CD optimization use cases
- 18:27Vertically integrated CI/CD stack
- 21:42Maximize build speed
- 23:50AI release workflows and observability
- 24:32Q&A
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