Your codebase doesn't care how it got written

9 hours ago

Design teams complain about clients providing PowerPoint mockups, but designers often do the same to developers, creating friction.
Every person in collaboration costs money, including debates, prototyping, and navigating role boundaries, built into timelines as 'process.'
Clients now can prototype at high fidelity independently, reducing reliance on designers and developers, challenging traditional business models.
DIY systems like Microsoft Access often persist, leading to eventual need for professional UX, architecture, and scaling, birthing an industry.
Ethical concerns about AI include quality, accountability, labor displacement, and exploitation of creative work without consent.
Personal career reflections involve compromises with tools, clients, and values, balancing meaningful work within imperfect systems.
The job description for developers is changing, with AI shifting focus from writing code to overseeing agents and outcomes.
Teams face training and reclassification challenges, needing to define new roles and phase out obsolete ones to adapt to AI.
Small companies must adapt to AI or risk irrelevance, with options like resisting AI or finding new niches, but sustainability is uncertain.
Success involves understanding why founders built DIY systems and advocating for the next steps, rather than resenting change.

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