Is AI a Bubble? I Didn't Think So Until I Heard of SDD

6 months ago

Specification-Driven Development (SDD) emerges as a response to AI coding chaos and a narrative for high valuations.
AI coding companies command valuations of 25-70x ARR, far exceeding dot-com bubble levels, despite mixed real-world productivity gains.
McKinsey's 70% automation claim is misapplied; real-world studies show developers take longer with AI tools despite perceived speed gains.
AI excels in boilerplate code, documentation, and simple bug fixes but struggles with system architecture and complex logic.
Valuation multiples for AI coding tools strain credulity, with companies like Codeium at 70x ARR and OpenAI's collapsed acquisition talks.
Enterprise adoption of SDD is driven by compliance needs, with specifications providing audit trails for regulatory requirements.
Developer sentiment shows rising AI tool adoption but declining trust, with senior developers benefiting more than juniors.
The AI coding bubble mirrors historical tech bubbles, with real innovation wrapped in excessive valuation narratives.
Productivity gains from AI tools are documented, but current valuations may not reflect realistic market assumptions.
The future of SDD depends on LLM reliability improvements; it may become essential infrastructure or transitional overhead.

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