StableCode is the first AI product for programming released by Stability AI. It utilizes three distinct models to enhance developer productivity. The foundation model was trained on BigCode's stack-dataset (v1.2) and further fine-tuned for popular programming languages such as Python, Go, Java, Javascript, C, markdown, and C++. We trained a total of 560B code tokens on a high-performance computing cluster. Subsequently, the foundation model was fine-tuned using approximately 120,000 code instruction/response pairs to address complex programming tasks. StableCode serves as an ideal foundation for learning programming. The long-text environment window model provides users with single-line and multi-line auto-completion suggestions. This model can process more code than previous open-source models (2-4 times more, with a context window of 16,000 tokens), allowing users to view or edit code equivalent to five average-sized Python files simultaneously. This makes it an ideal learning tool for beginners who are ready to take on greater challenges.