DevOps for Android supercharged with AI
summary
Numbers and concrete fixes decide. Case used: 10 engineers, 50 daily builds, 20 minutes idle per build = ~€1,000/day and ~€260k/year. Steps that actually move the needle: enable Gradle parallel execution and pick the right CPU tier (saved ~3 minutes), add build cache (ideal up to 95% but realistic 30–60% and seen 35% faster (2m)*), and shard or distribute UI tests (saved ~6 minutes). Tools shown: Bitrise MCP, Visual Studio Code, Gradle config/cache diagnostics and distributed test execution.
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chapters (13)
- 0:00DevOps for Android with AI
- 1:08Slow CI/CD costs
- 2:55AI for Android builds
- 5:12AI vs Gradle experts
- 6:20Machine power and parallelism
- 9:57Build caching speed gains
- 13:20Gradle cache in workflows
- 16:05Debugging cache performance
- 19:02AI analysis of cache failures
- 20:50Test sharding splits
- 22:1720-minute build savings
- 22:40Other AI CI/CD uses
- 23:45Q&A on test sharding
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