Author
Ana Mogul
Founding GTM @Empromptu
Articles by Ana Mogul (8)
The Hidden Structure Behind Successful AI Development Workflows
The most successful AI development teams have discovered a counterintuitive truth: the more structured your setup, the more creative freedom you gain during actual development. While 92% of developers now use AI coding tools according to GitHub's 2024 Developer Survey, the productivity gains vary dramatically—and the difference lies in preparation.
AI Codebase Analysis: Why Most Tools Fall Short
The AI coding revolution promised to transform how developers work with complex codebases. Yet according to recent industry data, we're seeing a surprising disconnect between expectations and reality. A comprehensive study by METR found that experienced developers using AI tools actually took 19% longer to complete tasks than those working without AI assistance—despite predicting they'd be 24% faster.
AI Code Security Tools That Actually Work (2025 Guide)
As AI-generated code floods production systems, the security community has scrambled to develop tools that can actually catch the vulnerabilities that traditional code review misses. The challenge is unique: AI-generated code often passes functional tests while harboring serious security flaws that only become apparent under specific conditions.
AI App Security: Legal Risks Every Founder Should Know
While AI development tools make it easier than ever to build sophisticated applications, they don't change the fundamental legal reality: if you collect user data, you're legally responsible for protecting it. And the consequences of failure aren't just technical—they're financial, reputational, and in some cases, criminal.
Why Vibe Coding Apps Fail in Production (And What Actually Works)
Every week, I see another "built this in 30 minutes with AI" post on social media. The screenshots look impressive—polished interfaces, smooth user flows, features that would have taken traditional teams days to implement. But there's something these viral success stories don't mention: what happens after the demo.
5 Critical Security Mistakes AI Developers Make (And How to Fix Them)
While everyone's celebrating how AI tools like ChatGPT and Cursor can build entire apps in minutes, the security community is watching in horror as vulnerable code floods production systems. Recent data from Apiiro shows that AI-assisted developers are creating 3-4 times more security vulnerabilities than traditional coding approaches—and most developers don't even realize it's happening.
Building a Data Extraction Tool
Every finance team knows the pain: stacks of invoices waiting for manual data entry, human errors in transcription, and hours spent on repetitive work that could be automated. What if you could build an AI-powered invoice processor that extracts data with confidence scoring and handles multiple invoice formats—actually working reliably in production?
Building a Smart Customer Support Assistant
Customer support teams face a constant challenge: answering the same questions repeatedly while ensuring consistent, accurate responses. What if you could build an AI assistant that instantly answers customer questions by searching through your company's documentation—and actually works reliably in production?