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Latest posts from Code Story | Startup Podcast for Technical Founders

Balancing Innovation and Hardening: How Zeta Global Learned to Move Fast Without Breaking Enterprise Customers

Christian Monberg, CTO of Zeta Global, shares how his team transformed an SMB-focused AI marketing platform into an enterprise-grade solution. Discover the hard decisions that come with scaling from startup to the big leagues, and why balancing innovation with hardening isn't just a technical problem—it's a business imperative.

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Outpacing Security: Why AI Coding Agents Need AI Vulnerability Triage

Security teams are drowning in vulnerability backlogs while automated coding agents ship code faster than ever. Santiago Castiñeira, Co-Founder & CTO of Maze, is tackling this problem head-on by building AI-powered agents that triage vulnerabilities like a senior security engineer. Here's how he's solving one of the most pressing problems in modern software security.

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From The Graph to Geo: How One Engineer Is Decentralizing Knowledge Itself

Yaniv Tal spent nearly a decade building The Graph, one of web3's core protocols. Now, he's taking on an even bigger challenge: creating a decentralized knowledge graph that solves the fragmentation, misinformation, and centralization plaguing how we organize information online. Here's how he's balancing the impossible task of building both a perfect protocol and an intuitive consumer app simultaneously.

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From Single Prompts to Multi-Agent Chaos: The Hardware Revolution Behind AI Agents

As AI agents become increasingly sophisticated, the infrastructure powering them is undergoing a radical transformation. In this bonus episode, Vasanth Mohan from SambaNova breaks down why specialized inference chips, liquid cooling, and disaggregated hardware architectures are becoming essential—not optional—for building production-grade AI systems.

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How Lyft's VP of Engineering Built Bitdrift to Fix Mobile Observability at Scale

Peter Morelli spent eight years at Lyft solving one of the hardest problems in mobile engineering—understanding what your customers are experiencing when their network drops and they can't see your app working. Now as CEO of Bitdrift, he's built a platform that eliminates telemetry waste and gives teams real-time control over what data actually matters.

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Why Cache Invalidation Matters for AI Coding Agents—And How Skip Labs Solved It

Julien Verlaguet, former Facebook programming language designer, is tackling one of computer science's hardest problems: cache invalidation. Through Skip Labs and their reactive programming language, they're bringing spreadsheet-like semantics to backend systems—and building AI coding agents that actually work.

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GitLaw's AI Agents Are Democratizing Legal Access for Startups

Nick Holzherr, founder of GitLaw, is building AI agents that handle contract workflows—writing, reviewing, and negotiating legal documents for small businesses. We dive into how he's democratizing access to legal templates and why the fastest-moving AI space demands a fundamentally different approach to product development.

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The Future of Network Security: Why AI Should Be a Trusted Advisor, Not an Autonomous Agent

Rekha Shenoy, the new CEO of Backbox, is rethinking how AI should work in network infrastructure. Instead of chasing full autonomy like everyone else, Backbox is building AI that supports engineers while keeping humans in control—and it's becoming a competitive advantage in the emerging agentic NetOps space.

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Reframing Sales as Search: Connor Heggie's AI-Powered Approach to GTM at Unify

Connor Heggie, co-founder and CTO of Unify, built a platform that reframes sales as a search problem rather than a persuasion problem. By leveraging AI and multi-agent systems, Unify is transforming how go-to-market teams find and engage with customers at scale—without replacing salespeople, but rather supercharging them.

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