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Serverless Backends

Backend architectures built on managed, event-triggered compute and hosted data stores, where the provider owns scaling and the developer owns correctness.

Current clusters

build1 publisher

A generated read-then-write lets both requests spend the same balance

A dev.to walkthrough of AI-written Firebase code argues the dangerous defects sit in the architecture, and its examples are a balance update two concurrent requests can both pass and a rule that admits any signed-in user.

Publishers:dev.to

Reality

Evidence34
Adoption
Insufficient
Hype gap+22
Incentives
Insufficient
Confidence46