LLMs alone are not enough

LLMs have intristic limitations that make them unreliable.

Unpredictable Results

LLMs produce different outputs for the same prompt, complicating debugging and collaboration.

AI can generate code that looks right but fails in practice, lacking true comprehension.

LLMs struggle with broader project context, creating friction in complex codebases.

Tokenization quirks can introduce subtle issues that evade immediate detection.

Benchify combines AI’s speed with deterministic safeguards to ensure code is reliable, secure, and maintainable.

Automated scanning catches errors early running code.

Generate correct-by-construction code from specifications.

Mathematical verification proves critical code sections work as intended.

Advanced methods optimize and correct common AI errors automatically.

Deploy with confidence whether you’re human or AI.

Deep code analysis through execution testing.

Fix AI-generated code problems automatically.