AI-native tooling reduces managed backend demand
Founding engineer at healthtech startup on Supabase's ready-at-scale credibility gap
This shift means developer attention is moving from outsourced app plumbing toward tools that directly increase what one engineer can build in a day. In this interview, Supabase is still useful for getting a database and auth online fast, but the louder conversation is around coding copilots and agent infrastructure like memory, where the product is harder to recreate and sits closer to the new bottleneck in AI apps, which is how agents reason, remember, and execute over time.
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The healthtech engineer describes a clear split, solo builders and thin teams still like bundled backends for speed, while stronger engineering teams are using AI code generation to build auth, database functions, and custom workflows themselves, which makes generic managed backend bundles feel less differentiated.
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Mem0 stands out in this context because agent memory is not just another CRUD backend. It is a service for storing and retrieving what an agent should remember across sessions, which is more specialized than spinning up Postgres and therefore easier to justify as a paid external tool.
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This does not mean backend services disappear. Supabase has still grown fast as the default backend for many vibe coded apps, but the market is fragmenting, with app builders bundling their own databases, and specialists like PlanetScale and Convex pulling users toward narrower, more opinionated products.
Going forward, the winning developer tools are likely to be the ones that either become the default backend inside AI app builders, or solve a distinctly AI-native problem like memory, evaluation, and agent orchestration. General purpose managed backends will keep growing, but they will matter most when they are embedded in the AI workflow rather than sold as a standalone convenience layer.