​From Solo Boost to Team Velocity: Making AI CodeGen Work at Org Scale

​Live • 45 min • Practical workflows + demo

​Tools like Copilot and Cursor have changed how individuals code, but teams still hit the same speed bumps: repeat fixes, scattered knowledge, and constant interruptions that break flow.

​In this 45‑minute live session, we’ll share practical workflows (and a quick demo) showing how adding team memory + shared snippets turns AI codegen from a solo boost into org‑level velocity.

​Expect real examples, a focused demo, and frameworks you can take back to your team tomorrow.

​You’ll learn

• ​Where AI codegen fails at team scale, and how to spot the patterns early.

• ​How to capture repeat fixes (auth, API quirks, configs) as reusable snippets.

• ​Ways to add memory so AI suggests your patterns, not just generic boilerplate.

• ​Onboarding flows that reduce “tap the senior” interrupts.

• ​Lightweight governance so shared snippets don’t become a mess.

​Host

​Anil Dukkipatty - AI educator who’s trained 800 + devs on LangGraph, from weekend hackers to startup teams.

​Who should attend

​Senior engineers, team leads, EMs, staff+ ICs rolling out Copilot/Cursor or exploring coding agents.

​Agenda (45 min)

• ​00:00–05:00 - Why team productivity ≠ individual productivity

• ​05:00–15:00 - Common failure modes: repeat fixes, tribal knowledge, context‑switch tax

• ​15:00–30:00 - Playbook: memory + shared snippets in daily dev loops

• ​30:00–40:00 - Live Demo: Team patterns in action (auth, API, config)

• ​40:00–45:00 - Q&A + next steps

​Takeaways

• ​✅ A checklist to evaluate team-level AI codegen readiness.

• ​📑 A snippet taxonomy (Auth / API / Config / Infra / Reviews).

• ​📝 A template for “interrupt-to-snippet” capture during PRs.

• ​📄 A 1-page “Team AI CodeGen Playbook” PDF after the sess

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