In this episode, Luv Kapur joins Mehmet to break down how composability is reshaping modern engineering. Luv is an engineering leader at Bit, working across their open source and enterprise platforms, and one of the earliest advocates for modular, reusable software as a way to unlock scale.

They explore why composability matters, how modular systems speed up delivery, and the cultural shift required inside engineering teams. Luv also shares real results from enterprise adoption, including faster iteration cycles, fewer defects, and measurable ROI in the eight-figure range. The conversation closes with a deep look into HopeAI, Bit’s AI architect designed to orchestrate existing components rather than generate endless code.

This is a practical and insightful episode for any CTO, engineering leader, or founder navigating the next era of platform development.

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About Luv Kapur

Luv Kapur is an Engineering Lead and Solutions Architect at Bit. His background spans platform engineering, dev tooling, internal systems, and leading enterprise adoption of composable software. He has helped teams move from monolithic and fragmented architectures to modular systems that enable real speed, discoverability, and developer empowerment.

He now works across Bit’s open source ecosystem and Bit Cloud for enterprise, helping organizations adopt composability and shift toward a more scalable engineering model.

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Key Takeaways

• Composability is an operating model that enables teams to build with reusable building blocks and ship faster.

• Modular architectures reduce defects, improve consistency, and increase transparency across engineering teams.

• Discoverability and ownership are core success factors. Without them, composability collapses into fragmentation.

• AI should act as an orchestrator, not a generator. The future belongs to systems that reuse proven components.

• Enterprise ROI from composability is measurable, from reduced iteration time to real cost savings in the millions.

• Citizen developers will play a bigger role as AI unlocks access to complex internal systems.

• Engineers will still be needed, but AI will free them to solve harder and more meaningful problems.

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What You Will Learn

• How modular software accelerates delivery

• Why enterprises struggle with legacy systems and how bottom up adoption solves it

• How to measure success in composability using real metrics

• The cultural shift required for high performing engineering teams

• How AI can guide architecture instead of generating more code

• The role of discoverability, ownership, and inner source in large organizations

• What HopeAI is and how it works as an AI architect

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Episode Highlights

00:00 Introduction and guest background

03:00 What composability really means and why it matters

06:00 Modular architectures explained with real world examples

10:00 What defines high performance engineering teams

14:00 Why companies fail when adopting composability

17:00 The shift from top down mandates to bottom up success

20:00 Tangible metrics teams can measure

23:00 AI as orchestrator versus generator

27:00 Why code reuse will define the next decade

31:00 Inside HopeAI and how it guides architecture

35:00 Enterprise results and real ROI

37:00 The future of platform development

41:00 Why engineers remain irreplaceable

42:00 How to connect with Luv Kapur

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Resources Mentioned

• Bit (Open Source): https://bit.dev

• Bit Cloud (Enterprise): https://bit.cloud

• Luv Kapur on LinkedIn: https://www.linkedin.com/in/luvkapur/

Digital transformation isn’t about technology — it’s about leadership, culture, and execution. In this episode, veteran CTO and transformation expert Tory Bjorklund joins Mehmet to debunk hype-driven transformation, explain why most initiatives fail, and share his proven framework for executing technology-driven change that sticks.

Whether you’re scaling a startup or modernizing a large enterprise, this conversation brings clarity and practical wisdom to one of the most misunderstood journeys in tech.

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👤 About the Guest

Tory Bjorklund is a serial entrepreneur, CTO, and transformation advisor with decades of experience leading large-scale technology and organizational change across manufacturing, fintech, and enterprise software. He is currently building Victoria Fide, focused on helping organizations succeed with transformational change, and is the author of The Digital Transformation Guidebook.

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🔑 Key Takeaways

• Digital transformation fails when technology leads instead of business goals

• Why “go-live” is the beginning, not the finish line

• The role of leadership and communication in successful transformation

• AI reality check: where companies are going wrong

• How to reset a failing transformation before it’s too late

• Why ERP and enterprise tools remain underutilized

• Building a culture that embraces change, not fears it

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📘 What You’ll Learn

• A 3-stage framework for transformation: Prepare → Execute → Sustain

• How to align executive teams and technology leaders

• Why transformation is continuous, not a project

• Practical steps for avoiding costly technology mistakes

• How to think about AI beyond the hype cycle

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🧠 Episode Highlights

0:00 — Intro

1:20 — Tory’s journey across tech, manufacturing & consulting

4:30 — Tech push vs business pull: who drives innovation?

7:05 — Why 70% of digital transformations fail

10:40 — How to course-correct a failing initiative

14:20 — Defining success and ROI from day one

18:30 — The Prepare → Execute → Sustain model

22:40 — Who should own transformation inside the company

26:00 — AI reality: personal productivity vs enterprise value

32:00 — Why ERP & existing tools are still underutilized

37:20 — Industrial AI & the real disruption

39:40 — About Tory’s book

42:00 — Closing thoughts

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🔗 Resources Mentioned

• Victoria Fide – https://victoriafide.com

• Tory’s upcoming book: The Digital Transformation Guidebook

• Connect with Tory on LinkedIn: https://www.linkedin.com/in/torybjorklund/