How I AI

Successfully coding with AI in large enterprises: Centralized rules, workflows for tech debt, and training your team | Zach Davis (Director of Engineering at LaunchDarkly)

265 snips
Jul 21, 2025
Zach Davis, Director of Engineering at LaunchDarkly, brings over 12 years of experience in building high-performing teams. He discusses how to effectively integrate AI tools in large engineering teams. Topics include creating centralized documentation, leveraging AI agents to manage technical debt, and improving hiring processes. Zach emphasizes developing structured coding practices to boost team confidence in AI decision-making. He also shares insights on enhancing developer experiences, optimizing workflows, and navigating the challenges of AI tools in software development.
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ADVICE

Centralize AI and Human Docs

  • Centralize documentation in the code repository to serve both humans and AI tools effectively.
  • Avoid duplicating rules across AI tools by creating a centralized rules system.
ADVICE

Avoid Vibe Coding in Enterprise

  • Avoid "vibe coding" in enterprise environments as it doesn't scale or maintain quality.
  • Adapt AI tool strategies to large, mature codebases rather than individual side projects.
ADVICE

Designate AI Adoption Lead

  • Assign a dedicated person to drive AI adoption within engineering teams.
  • That person should be close to the codebase and actively experiment with AI tools.
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