Case Study: LMNT accelerates AI speech model development with Augment Code

LMNT speeds AI speech model development with Augment Code and faster first-beat completions

LMNT, an AI speech startup, faced challenges with code quality and productivity due to their highly diverse tech stack, which ranged from low-level CUDA and C++ to high-level Python and React. Existing coding assistants generated irrelevant suggestions that didn't match their style, requiring extensive editing. They adopted Augment Code's AI-powered coding assistant to get more accurate and context-aware assistance across their entire development environment.

The solution from Augment Code provided higher quality, "bite-sized" completions that adhered to LMNT's style and a chat feature for codebase questions. This resulted in faster development speed, a significant reduction in code review time, and allowed the small team to focus more on core innovation. Augment Code enabled LMNT to accelerate their AI speech model development with smarter, more efficient coding.

LMNT