Generic AIs struggle with complex frontend tasks. With specialized context-engine and tooling, Kombai delivers unmatched fidelity, code quality, and, dev velocity.
Kombai significantly outperforms generic coding agents + Frontier models + MCPs in building UX from Figma, image, or text based prompts.
% Review criteria passed (avg by task)
Kombai
Gemini 2.5 Pro + Agent¹
Sonnet 4 + Agent¹ + MCPs²
Sonnet 4 + Agent¹
Gemini 2.5 Pro + Agent¹ + MCPs²
% Features verified in test (avg by task)
Kombai
Gemini 2.5 Pro + Agent¹
Sonnet 4 + Agent¹ + MCPs²
Sonnet 4 + Agent¹
Gemini 2.5 Pro + Agent¹ + MCPs²
% Outputs compiled successfully
Kombai
Sonnet 4 + Agent¹
Sonnet 4 + Agent¹ + MCPs²
Gemini 2.5 Pro + Agent¹
Gemini 2.5 Pro + Agent¹ + MCPs²
Kombai’s built-in deep-learning models can code real-world Figma designs with unmatched fidelity.
With specific, human-tested RAGs, Kombai can use supported libraries with higher accuracy & consistency.
Kombai has indexing and search tools purpose-built for Frontend codebases. Using these, it can find and reuse relevant code faster, and with higher accuracy.
Get editable, task-optimized plans before complex tasks. Preview the code output before it changes your codebase.
From small components to full app UIs - Kombai generates frontend code right inside your IDE. Get clean, backend-agnostic output that fits your stack and repo.
