One Android Dev, Ten AI Teammates: Scaling Delivery With Claude Code
summary
Shows a working pipeline that uses Claude Code sub-agents with Skills and Plan Mode to interview, produce persistent specs, and run CI reviews so a solo Android developer ships features faster. Claims include a real project built by three devs, 1.7× fewer defects and 2.74× fewer security vulnerabilities when using structured AI diffs. Demonstrations cover orchestration (Opus, Sonnet, Haiku), agent teams vs sub-agents, managed agents, a PR created overnight, and security risks in third‑party skills (≈37% flawed, 76 payloads).
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chapters (10)
- 0:00Introduction
- 3:12Skeptical developers reconsider AI
- 10:32AI struggles with Android
- 14:44Lessons from human teams
- 22:28AI teammate and team composition
- 26:43Connecting AI workflows
- 29:11Agent teams and managed agents
- 33:22Dark side of AI tools
- 35:53Start using AI teammates
- 37:17Q&A
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