『Code meets Business』のカバーアート

Code meets Business

Code meets Business

著者: Jens Kürschner
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【Amazonプライム会員限定】今ならプレミアムプランが4か月 月額99円。

10月19日まで。※適用条件あり

Welcome to Code Meets Business - the podcast where a real Chief Product & Technology Officer breaks down what's actually happening in tech for business leaders.

Every two weeks, I explain engineering concepts without the jargon, roast companies making bad tech decisions, and share what I've learned leading teams at the intersection of product, technology, and business.

If you work WITH engineers but aren't one - or if you ARE one and want to understand the business side - this show is for you.

© Peltmonger Ventures GmbH. All rights reserved.
マネジメント マネジメント・リーダーシップ 経済学
エピソード
  • Technical Debt Is Not a Bug. It Is a Business Bill.
    2026/10/05

    What is technical debt, and how much is it costing your company?

    In this episode, I break technical debt into three types: the obvious shortcuts you choose, the hidden work that catches you later, and the ignored debt everyone knew was coming but nobody budgeted for.

    Technical debt is not just a code problem. It is a business cost created by complexity, maintenance, and decisions that feel convenient today. I explain how product choices, technical architecture, and team habits can make that future bill larger or smaller.

    You will learn:

    • The difference between obvious, hidden, and ignored technical debt
    • Why no digital product is ever completely free of maintenance cost
    • How AI can reduce documentation pain without eliminating complexity
    • Why every edge case can become an expensive long-term decision
    • What leaders should budget for before they call a product "done"

    Code Meets Business is where I explain technology, product, and business without the jargon wall or corporate theater.

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    13 分
  • Companies Are Using AI Wrong
    2026/09/17

    Most companies are not failing at AI because the models are weak. They are failing because they have no guardrails, they pour AI into broken work, and they use a language model as an expensive calculator. In this CPTO Roast, Jens breaks down his current top three AI adoption failures.

    You will learn:

    • Why every department shipping its own AI tools is a production incident waiting to happen
    • Why sandboxing intern experiments is not optional
    • Why AI on broken processes and unread reports creates noise, not ROI
    • When not to use an LLM at all
    • Why real agents take months of setup, not a two-day trial

    Code Meets Business is where a real CPTO explains technology, product, and business without the jargon wall or the corporate theater.

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    9 分
  • Refactoring: The Good, the Bad, and the Ugly
    2026/08/31

    Your engineering team asks for refactoring. No new feature. No shiny launch. Should you pay for it?

    I break down the three reasons software needs this invisible work:

    • Cleanup: the warehouse that grew over time and now slows every change
    • Deliberate shortcuts: the house built without the floor needed for the next feature
    • Modernization: a living system adapting to changing dependencies, security, and external services

    Then comes the business decision: the good, the bad, and the ugly. Keep valuable systems healthy. Reject overengineered "we might need it later" platforms. And when you deliberately accept risk in a low-criticality system, make the cost visible instead of pretending it does not exist.

    Code Meets Business is where a real CPTO explains technology, product, and business without the jargon wall or the corporate theatre.

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    8 分
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