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Insights & Resources
Perspectives on product engineering, working with AI, and shipping in regulated industries.
1 in 5 Breaches Now Come from AI-Generated Code
AI coding tools don't write insecure code by accident. They write it systematically — the same vulnerabilities, in the same patterns, every time. Here's the threat model founders need.
Cognitive Debt Is Eating Your AI-First Startup
96% of developers don't trust AI output. Only 48% verify it. The gap between those numbers is creating a new kind of debt that's harder to fix than bad code.
The Vibe Coding Hangover Is Real — And It's Hitting 8,000 Startups at Once
Thousands of founders shipped AI-built MVPs in 2025. Now they're all hitting the same wall at the same time. Here's the timeline, the failure modes, and the way through.
You're Outsourcing the Wrong Roles
Most companies outsource developers and keep leadership in-house. That's backwards. The premium consultancy model flips the equation — and AI makes the gap even wider.
DevOps for Fintech: Infrastructure That Passes Audits
Fintech infrastructure gets held to a higher standard. Here's a practical guide to building DevOps practices that satisfy auditors, protect customer data, and still let you ship fast.
ML-Powered Contract Management: When to Build, When to Buy
Contract management is one of the highest-ROI ML use cases in enterprise software. Here's a practical breakdown of what actually works, what doesn't, and how to decide between building and buying.
The 3-Person Engineering Team That Outships Your 8-Person Squad
AI coding tools didn't just change how we write code. They changed how many people you need. Here's the lean team model that's replacing traditional dev teams.
Why Your AI-Built API Is a Security Risk
AI coding tools build APIs that work — but they skip authorization checks, expose internal data, and trust every request. Here's what's probably wrong with yours.
CI/CD for Startups: What You Actually Need
Most startups either have no deploy pipeline or an over-engineered one copied from a Fortune 500 tutorial. Here's what actually matters when you're shipping fast with a small team.
HIPAA Compliance for Health Tech Startups
You're building a health app and users are entering medical data. Here's what HIPAA actually requires, what it costs, and the architecture decisions you can't defer.
How to Audit Your AI-Generated Codebase
A practical checklist for founders who built with AI tools and need to know what's actually lurking in their code before real users show up.
Monitoring & Observability for Non-Technical Founders
Your app is live but you have no idea when it breaks. Here's what monitoring actually means, what to set up first, and why AI-generated code almost never includes it.
The Real Cost of Scaling a Vibecoded App
Your AI-built app works great with 100 users. Here's what breaks at 1,000, what breaks at 10,000, and what it actually costs to fix — before your users find out.
When to Refactor vs Rewrite Your Codebase
Your codebase is slowing you down. Here's a concrete decision framework for whether to fix what you have or start fresh — and how AI-generated code changes the calculation.
SOC 2 Compliance: A Founder's Guide
Enterprise buyers will ask if you're SOC 2 compliant. Here's what that actually means, what it costs, and when you should start — explained without the jargon.
The Vibecoding Trap: When Your AI-Built Product Becomes a Liability
Non-technical founders are shipping products built entirely by AI. Most of them have no idea their app stores passwords in plain text, leaks customer data, or will collapse under 500 users.
From Vibecoding to Production: The 20% That AI Can't Do
AI tools get founders to a working prototype fast. But the gap between demo and production is where most projects fail. Here's what that gap actually looks like.
What Most Dev Agencies Get Wrong About Regulated Industries
SOC 2, HIPAA, ISO 27001 — compliance isn't a checkbox. Here's what we've learned shipping 50+ products in fintech, healthtech, and insurtech.