Along The Edge e5 - Vibe Coding Is Replacing Your Favorite SaaS

What happens when a developer can rebuild your $500/month software in a day?

In this episode, Andrius breaks down the growing threat vibe coding poses to the SaaS industry — and why some software is more vulnerable than you think. He's joined by ZioSec front-end developer Nolan Braman, who did exactly that — ripping out a knowledge base platform charging $500/month and replacing it with a vibe coded solution in about a day.
But not all SaaS is equally at risk. Andrius and Nolan dig into what gives certain platforms a deeper moat — things like heavy infrastructure, complex integrations, and operational overhead that make them far harder to replicate with a weekend project. Think Intercom vs. a simple dashboard tool. One is a vibe coding target. The other? Not so much.

If you're building SaaS, buying SaaS, or thinking about vibe coding your way out of a subscription — this one's for you.

What is Along The Edge Podcast: Breaking, Defending, and Understanding Agentic AI?

Along The Edge is a podcast about life on the frontier of AI security—where large language models turn into agents, tools get wired into everything, and the old web-app threat models stop being enough.

Hosted by Andrius Useckas (Co-founder & CTO of ZioSec), Along The Edge dives deep into agentic AI security: jailbreaks, prompt injection, data leaks, MCP/tooling risks, least privilege for agents, and what “don’t trust, verify” really means in an AI-native stack. Each episode features hands-on practitioners—security architects, red teamers, researchers, and builders—who are actively breaking and defending real systems in production.

If you’re building, deploying, or testing AI agents (SDR agents, SOC assistants, coding copilots, internal HR or payroll agents, etc.), this show gives you concrete attack paths, defensive patterns, and hard-earned lessons you won’t get from marketing decks and “AI safety” platitudes.

Along The Edge is for:

Security engineers and architects responsible for AI/agentic systems

Red teams, pentesters, and researchers exploring AI-native attack surfaces

Engineering leaders who don’t want to bolt security on after the breach

Anyone who suspects “the model will handle it” is not a real security strategy