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AI and Drupal: "Disposable Code" Challenges for Infrastructure

Jeremy Andrews, speaking at the Drupal Pivot unconference in Ghent, discussed the concept of "disposable code" in the context of AI development. He argued that this approach is only effective for truly standalone components. However, when code forms load-bearing infrastructure or has dependencies, the "just rebuild it" mentality becomes problematic, as it necessitates rediscovering complex past decisions. AI

IMPACT Discusses challenges in applying "disposable code" principles to AI-dependent infrastructure, highlighting the complexity of rebuilding load-bearing systems.

RANK_REASON Commentary on software development practices in the context of AI, presented at an industry unconference.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI and Drupal: "Disposable Code" Challenges for Infrastructure

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · tag1consulting ·

    Jeremy Andrews at Drupal Pivot in Ghent, an unconference for 60+ agency leaders on AI and where Drupal goes next. His take on disposable code: it works when the

    Jeremy Andrews at Drupal Pivot in Ghent, an unconference for 60+ agency leaders on AI and where Drupal goes next. His take on disposable code: it works when the thing is truly standalone. It breaks when your system is load-bearing infrastructure, when other systems depend on it, …