Future of Dev

Tag: AI

  • Continuous Delivery Office Hours Ep.9: The compliance ratchet

    Continuous Delivery Office Hours Ep.9: The compliance ratchet

    Continuous Delivery Office Hours Ep.9. The compliance ratchet
    Continuous Delivery Office Hours
    Continuous Delivery Office Hours Ep.9: The compliance ratchet
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    In this episode of Continuous Delivery Office Hours, Steve Fenton is joined by Octopus Deploy founder Paul Stovell to explore the hidden bottleneck in the AI productivity conversation that nobody is talking about: compliance and risk tolerance.

    Everyone wants code written faster, so they are turning to AI to make it happen. But the constraint is never coding speed, it’s the organization’s appetite for change… and that means things are about to get more painful.

    The physics of organizations means faster change generation will create an equal and opposite reaction in risk-averse environments that introduces irreversible road blocks.

    Listen to find out more about:

    • Why developer velocity was never the real bottleneck in regulated organizations
    • The compliance ratchet: why risk requirements only ever go up, never down
    • How AI could be applied to risk assessment rather than just code generation
    • Why fragmented on-machine AI agents are creating a UX coherence crisis
    • The product velocity bullseye and why direction matters as much as speed How to avoid inviting regulation by rolling out AI responsibly

    Episode details

    Episode mind map showing AI and organizational velocity mismatch leading to a risk/tolerance bottleneck, the one-way ratchet, the productivity paradox, smart pipelines, risk reasoning, collaborative team-based AI and trust

    You can also watch episodes on YouTube.

  • CD Office Hours Ep.8: AI efficiency and effectiveness

    CD Office Hours Ep.8: AI efficiency and effectiveness

    Continuous Delivery Office Hours Ep.8. AI efficiency and effectiveness
    Continuous Delivery Office Hours
    CD Office Hours Ep.8: AI efficiency and effectiveness
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    In this episode of Continuous Delivery Office Hours, Tony Kelly, Bob Walker, and Steve Fenton discuss some of the tangled pathways around AI, the search for efficiency and productivity, and the need to re-focus on effectiveness and outcomes.

    You’ll find out about the beneficiary user versus end user divergence and where asymmetry can cause bad outcomes for end users and, ultimately, organizational goals. This leads to why the organizations succeeding with AI had the right foundations in place before their AI adoption.

    Listen to find out more about:

    • Beneficiary and user asymmetry and how it damages your business
    • The old measurement mistakes that are resurfacing alongside AI
    • Why developer productivity might not be moving the needle for your teams
    • How to easily predict whether an organization will be successful with AI
    • A pizza-oven metaphor for your software delivery

    Episode details

    Episode map showing AI in modern software delivery with nodes for user interaction models, the pizza oven metaphor, productivity and metrics, development risks, and adoption strategies

    You can also watch episodes on YouTube.