The Problem
Feature development is slow and fragmented.
- Planning, implementation and testing run sequentially - each step waits for the previous one.
- Context switching between files, terminals and documentation costs time and focus.
- Individual AI assistants lack the big picture - they solve partial problems but cannot complete an entire feature.
- Quality assurance always comes at the end - bugs are discovered late and expensive to fix.