Cloud platforms built for a world where software was big and slow are now facing challenges with the rise of AI enabling rapid development of ephemeral services like scripts and bots.
Current cloud economics have not evolved to support the new wave of AI-first developers, where costs explode when launching multiple tools due to per-app or per-service charges.
While some platforms are adapting by introducing usage-based billing, challenges persist in aligning pricing models with the way AI-first developers work.
Serverless architecture, although ideal on paper, presents complexities in practice, especially for solo developers creating AI-generated tools nightly.
The shift in building software now emphasizes cheap creation, fast disposal, and minimal infrastructure understanding, distinct from past trends like microservices hype.
Builders today seek a hosting solution that bridges the gap between fragmented serverless options, expensive PaaS models, and manual self-hosting processes.
Proposing a model where users pay for capacity rather than per app could revolutionize the cloud hosting landscape, incentivizing creativity and lowering costs.
The divergence between VC-backed platforms focusing on high revenue and vibecoders prioritizing innovative, rapid development calls for a fundamental shift in hosting pricing and strategies.
As software evolves into a swarm of disposable tools, hosting models must adapt to support this new era of development to stay relevant and accommodate chaotic creativity.
The call is made to change how hosting is priced and perceived to align with the needs of modern developers who value creativity, experimentation, and rapid deployment.
The evolution in software development signifies a shift from traditional app-centric models to a more dynamic and agile approach, highlighting the necessity for hosting services to keep pace with this transformation.