ShipTalk - SRE, DevOps, Platform Engineering, Software Delivery · By Harness

Beyond Dashboards: How AI Is Redefining Developer Productivity with Adeeb Valiulla

·37 min·2 clips

Adib Valiulla says AI is a speed booster, but without brakes and guardrails it creates more accidents.

1. ShipTalk episode four of season four focuses on AI, developer productivity, and software delivery with Adib Valiulla. 2. Dewan Ahmed hosts the episode, and Adib Valiulla leads developer productivity and efficiency at Harness after starting his career at Sensomatic. 3. The episode asks what productivity means when AI changes software delivery from output measurement to system-level decision making. 4. Adib says he began with a whiteboard experiment in 2016 to answer his own question, “How do I know I am really making a difference?” 5. He describes that early project as tracking lead time, developer punctuality, delivery punctuality, quality, and efficiency for his team at Sensomatic. 6. He says the experiment spread from one team to all business units and engineering teams at Sensomatic. 7. Adib explains that the goal was not vanity metrics but “a shared language of impact” for engineers and business leaders. 8. He says his current role at Harness is to translate tickets, pull requests, pipelines, and incidents into business intelligence for Fortune 500 companies. 9. He argues that productivity used to mean lines of code, commits, and velocity points, but AI now shifts the definition toward problem-solving capacity. 10. He cites the 2025 DORA AI study, saying 95% of teams use AI, 80% report improved productivity, and 30% do not trust AI-generated code. 11. He also cites a Harness report showing 63% of organizations ship faster with AI and 45% of AI-generated deployments have problems. 12. Adib says he evaluates AI across three layers: developer metrics, developer experience, and value alignment. 13. He warns that if AI raises change failure rate, then faster code is “literally chaos.” 14. He says onboarding now takes “two months and beyond” in some teams because tool sprawl and context switching are slowing developers down. 15. He recommends shift-left testing, human-in-the-loop validation, feature flags, blue-green and canary deployments, chaos testing, and security reviews at AI scale. 16. He says DORA, SPACE, HEART, and FLOW each solve different parts of the measurement problem, and his research maps them into a quadrant. 17. He frames the interview in a practical, technical style with repeated examples from Harness, DORA, and platform engineering. 18. The tone stays conversational and data-heavy, with Dewan Ahmed pressing on metrics, governance, and how CTOs should think about AI adoption. 19. Listeners working on platform engineering, developer experience, or engineering metrics will get the most from it. 20. Listeners wanting a celebrity-style interview or light general tech chat will probably skip it.

As heard by us

A practical look at how AI changes productivity, measurement, and pull request flow.

Ship Talk frames a practical exchange between Dewan Ahmed and Adib Waliwullah, who leads developer productivity and efficiency at Harness. Adib challenges the easy idea that AI adoption automatically lifts output, leaning on DORA findings to show that context decides whether AI…

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AI hype meets pull request reality with a guest who ties it back to software delivery and workflow change.

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