Productivity1 week ago
Prodigent
Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
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Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation