Lakeesha Weatherwax

Hey Product Hunt!

We just went live with the SigmaMind MCP Server, and we re on a mission to end "infrastructure hell" for voice developers.

For the last year at SigmaMind (YC S22), we ve watched builders struggle to stitch together telephony, low-latency models, and fragmented APIs.
Today, we re changing that. We ve built a way to configure and deploy production-grade voice agents directly from your IDE (Cursor, Claude Code, etc.) using the Model Context Protocol. No more manual glue - just one prompt to connect your model, pick a voice, and get a live phone number.

We d love your feedback on the launch today:

Hey all,

One of the most important and challenging experiences you ll have as a founder is fundraising.

I ve been using a lot of AI-generated code lately, and while it definitely speeds things up, security feels like a weak spot.

I ve run into issues like missing auth, exposed endpoints, and weak configs stuff that AI doesn t really flag unless you explicitly ask.

Curious how others are handling this:

• Do you rely more on manual reviews or tools?

• Any workflows that consistently catch vulnerabilities?

• Have you faced any real incidents because of AI-generated code?