How Cursor built Fast Apply using the Speculative Decoding API
Blog post from Fireworks AI
Cursor, an AI-native integrated development environment (IDE), is revolutionizing code generation and editing by leveraging Fireworks' AI inference stack to achieve rapid token processing through a newly introduced Speculative Decoding API. This innovative API allows for parallel token generation, significantly enhancing the speed and efficiency of code editing tasks, a notable improvement over previous models like GPT-4. Cursor's standout features, such as Copilot++, Instant Apply, and Smart Rewrites, enable developers to seamlessly edit and navigate their codebases using natural language inputs. The integration of Fireworks' custom-trained model, specifically fine-tuned for the "Fast Apply" coding task, empowers Cursor to handle large-scale code edits with low latency, achieving speeds of around 1000 tokens per second. This cutting-edge approach to speculative decoding not only addresses the inefficiencies of traditional large language models but also positions Fireworks as a leader in providing high-speed, reliable AI solutions for developers and enterprises.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 3 | 367 | 80 | 43 | -30% |
| LLM | 3 | 2,718 | 331 | 130 | +3% |
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