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

JulianQuinn · HN

Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP

mhmt_dmr · HN

MCP Gateway – Turn existing APIs and databases into MCP servers

@vibexp_io · X

Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

@RobGuerra90 · X

Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.

@KeelGRC · X

just launched this week. It’s an SMB-friendly GRC and compliance application.

@petitpois28 · X

craigsmitham

@aminfseo · X

I'm building this:

@HamzaNachite · X

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP