Improving your Developer Experience Through Platforms and Generative AI
summary
Claims that merging ThoughtWorks platform engineering principles with metrics and generative AI produces measurable DX gains, citing DORA Lagging metrics, SPACE metrics and leading signals like code churn to trace improvements. Describes building a platform with self‑serve abstractions (Backstage/Heroku/Kubernetes/OAM) plus AI portals and Slack‑driven, supervised LLMs that provision infra and automate code review. Uploads Pharos AI outputs that show cumulative time saved and modeled cost savings. Notes adoption gap — roughly about 10% of clients use functional programming.
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chapters (11)
- 0:00Developer experience intro
- 3:29Learning FP challenges
- 5:15Defining developer experience
- 7:19Improving DX table stakes
- 9:44Measuring DX with Dora
- 11:51Reducing DX friction
- 12:34Platform engineering for DX
- 15:19Balancing developer and operational needs in platforms
- 17:05Generative AI for dev workflows
- 19:33AI portals and tools
- 20:16Future of DX with AI
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