Engineering-grade datasets and benchmarks for models that manage entire repositories. We evaluate logic, planning, and execution across the full software development lifecycle.
We specialize in SFT and RLHF data that focuses on the nuances of programming—from function calling to secure coding standards.
Rubric-aligned prompts that evaluate a model's ability to plan multi-step solutions before writing a single line of code.
Human-verified Chain-of-Thought traces for complex debugging tasks, optimized for fine-tuning reasoning models.
Datasets focused on function calling and external tool interaction within secure, sandboxed environments.
We go beyond simple snippets to test model performance in realistic, containerized development environments.
Verified pass@k metrics for real-world PR tasks.
Detection of CWE-vulnerabilities in generated code.
Instructions for improving SFT/RLHF reasoning densities.
Understanding our methodology for secure, high-fidelity coding agent evaluation.