Future of the future: creating an AI product beyond hype
summary
GitLab builds an AI assistant called GitLab Duo inside a tight timeline, dogfooding it across self-managed, dedicated and private-cloud installs to collect product telemetry into an enterprise data platform. Development follows an iterative approach, using DORA metrics to track deployment frequency, lead time, restore time and change failure rate, and a 5,000-company survey shows security ranks first and AI second. Common delivered features: code suggestions, explanations, change summaries and pipeline failure help; the product ships and is evaluated by measurable usage and cost signals.
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chapters (9)
- 0:00Introduction
- 3:18DevSecOps platform explained
- 7:48IT investment priorities 2024
- 10:35Real-world AI use cases
- 13:28What devs want from AI tools
- 15:55Iterative AI product success
- 18:03Success with DORA metrics
- 19:47Key takeaways
- 21:33Q&A
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