The bottleneck in modern development isn't writing code. It's preserving coherence between what you intended, how the system is built, and how it evolves.
The vision
Design thinking and architectural reasoning.
The bottleneck of modern development isn't writing code.
It's maintaining coherence between intention, architecture, and system evolution.
Every tool in the AI-assisted development ecosystem is optimized for the same thing: generating more code, faster. Autocomplete. Chat-based generation. Inline suggestions. The assumption is that velocity equals output.
But the teams that struggle most aren't struggling to write code. They're struggling to keep their systems coherent as they evolve. The architecture drifts. Decisions get lost. New code contradicts old decisions nobody remembers making.
Optimize code generation.
Optimizes the preservation of meaning.
The goal isn't producing more lines per minute. It's developing complex software without losing architectural coherence over time.
This means the AI needs to understand your system before it generates anything. Not from a text snippet pasted into a prompt, but from a structured representation of your codebase — its entities, relationships, decisions, and constraints.