Codebase-Specific RL: Fine-tuning LLMs for generating unit tests that boost coverage
How codebase-specific RL fine-tuning enables smaller, specialized AI models to significantly outperform general-purpose models at generating impactful unit tests.
Use reinforcement learning to fine-tune models that beat frontier systems on cost, latency and accuracy — optimized for the exact product outcomes you care about.
Get In TouchWith cgft, you don’t need a ml phd to do frontier rl. You focus on building tools for their agent & the user outcomes you want to drive. We bring the algorithms, infrastructure & the latest fine-tuning research.
Our platform gives you:
We’ve partnered with teams building vertical-specific agents across marketing, chip design, education, and more - seeing 2–3× accuracy gains with 8B–30B parameter models.
Common workloads we supercharge include:
If this sounds like what you’re building, we’d love to talk!