Beyond Coding Assistance: Building Enterprise Software with Multi-Agent AI

"Why AI Coding Tools Fail at Scale: The Truth About Enterprise Development" While everyone's excited about AI coding assistants, there's an elephant in the room: most of these tools max out at ~300 lines of code. For a CTO managing enterprise-scale projects, that's like trying to build the Empire State Building with a single construction worker. Let's talk real numbers: Small enterprise projects start at 50,000+ lines Medium projects easily hit 250-500k lines Large enterprise codebases? We're talking millions The limitation isn't the AI - it's the architecture. Single-agent systems with limited context windows simply weren't designed for enterprise-scale development. This realization drove us to build Blitzy differently. Instead of one AI assistant, we orchestrate thousands of specialized agents working in parallel. Think of it as a full development team that: Maintains perfect system context Documents everything meticulously Works around the clock Handles 300k+ lines of code seamlessly 🎯 For CTOs evaluating AI tools, here's my framework: Individual function updates → Copilot/Cursor Quick fixes → Traditional IDE integrations Enterprise-scale changes → You need a multi-agent approach