AI Speed vs Strong Foundations in Software Development | Nusabbeh Waqar posted on the topic | LinkedIn
"This is going to become one of the biggest AI-era problems," boldly declares Nusabbeh Waqar, as if unveiling an untapped prophecy rather than rehashing every tech blog’s latest concern. In what feels like an obligatory nod to wisdom, "AI lowered the cost of generating code. It did NOT lower the cost of bad foundations" unravels as a tautology delivered with all the depth of lukewarm soup. Meanwhile, the weary chant that "companies that win in the AI era won’t be generating the most code" somehow skirts around its own inherent contradiction—praising speed while lamenting its consequences. Topping it off with a sprinkle of borrowed authority, mentions of Cursor and Claude Code perhaps serve more as decorative garnish than substantive spice. A masterclass in making much ado about nothing much at all.
The post opens with 'This is going to become one of the biggest AI-era problems,' suggesting a sense of importance while masking self-promotion.
References to tools like Cursor and Claude Code lend an air of expertise, yet they don't overshadow the core argument.
'AI lowered the cost of generating code. It did NOT lower the cost of bad foundations' is a tautology presented as insight.
The message about maintaining strong foundations conflicts subtly with promoting rapid deployment via AI tools.
'Companies that win in the AI era won’t be the ones generating the most code' suggests a vision that leans on personal expertise without overtly selling.
'Fast shipping can lead to technical debt' echoes common industry discourse without fresh angles or language.