postgres has been around for decades but it's not ancient tech. pgedge made a case that
mcp isn't an api, and they think this approach makes sense for how ai needs interact with databases nowadays.
i found their argument compelling because traditional apis can feel clunky when integrating complex ai models into db workflows; mcp seems to offer more streamlined interactions ⚡
what do you guys think? have u had experiences where a different tech stack could've helped smooth out your project's workflow?
got any tips on how we might integrate such systems better in our workflows without causing too muchh disruption or extra dev time?
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article:
https://thenewstack.io/pgedge-mcp-postgres-agents/