Superbrain beats Claude Code with 30% lower cost and 50% fewer tokens. Model-agnostic.
Problem statement The problem with current coding agents like Claude Code, Codex, and Cursor is that when you assign a task to them, they start searching, grepping, and reading your codebase blindly in the hope of findin
Problem statement
The problem with current coding agents like Claude Code, Codex, and Cursor is that when you assign a task to them, they start searching, grepping, and reading your codebase blindly in the hope of finding the context they need. These coding agents are built on a fundamentally flawed abstraction.
Because they search blindly, nearly 80% of the code is boilerplate, while only 20% contains business logic. Yet these agents spend the majority of their time and tokens reading everything. As a result, almost 80% of the tokens consumed are wasted, leading to higher costs and increased hallucinations.
Solution
We invented a new architecture called TokenFold. TokenFold creates a new representation of the codebase, making context retrieval highly precise which reduces the wastage of tokens by 60-80%.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.