# Lead AI Engineering Teams

> Runs leadership workflows for AI-era engineering — context CDLC, org-wide AI adoption, agent-first throughput, and post-engineer team design. Use when the user leads eng org change, measures AI productivity, or says "double throughput", "context is the new code", "agents don't do standups", "AI SDLC rollout".

- Skill: `hiteshbandhu/lead-ai-engineering-teams` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add hiteshbandhu/lead-ai-engineering-teams`
- Raw SKILL.md: https://api.skillmd.com/api/skills/hiteshbandhu/lead-ai-engineering-teams/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: hiteshbandhu (https://skillmd.com/u/hiteshbandhu)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/hiteshbandhu/lead-ai-engineering-teams

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# Lead AI engineering teams

Three leadership-track talks (+ duplicate gov talk indexed separately). [workflows.md](workflows.md).

```
├─ Govern context as code (CDLC)               → A
├─ Mandate AI tools with adoption metrics      → B
├─ Agent-first pod design + measurement        → C
└─ Horizontal scale in large orgs              → D
```

Primary sources: `playlists/leadership-sessions-ai-engineer/`. Pair with `deploy-public-sector-ai` for government delivery.