Rust, Python, and TypeScript are emerging as the dominant programming languages due to their strong fundamentals and compatibility with the idea-oriented programming paradigm, which emphasizes a focus on project concepts over specific code syntax. This shift, driven by advancements in AI coding assistants, allows programmers to delegate tasks and streamline the development process while enhancing the importance of type systems and robust ecosystems. The article argues that this new approach makes programming more accessible and less dependent on deep technical knowledge.

CocoIndex is a high-performance data transformation framework for AI, built in Rust, that allows developers to easily transform and synchronize data with minimal coding. It supports incremental processing and data lineage, enabling efficient data workflows for various applications, including semantic search and knowledge graph creation. The framework emphasizes a dataflow programming model, facilitating straightforward transformations without direct data mutation.