Zencoder is an AI coding assistant with interfaces to Visual Studio Code and JetBrains IDEs. It is designed to help developers ship products faster, much like GitHub Copilot, Amazon Q Developer, and Tabnine. Zencoder also offers AI coding agents, much like Solver, GitHub Copilot Workspace, and Amazon Q Developer Agent. Tabnine also offers agents, but doesn’t differentiate them from its core product with a separate name—much like Zencoder.
Zencoder offers “repo grokking” to analyze and comprehend your entire repository, which customizes and improves its code generation. That’s similar to Tabnine Enterprise, and to most of the other products I’ve mentioned. In the case of Amazon Q Developer, the comparable feature seems to be Amazon Q customizations. Repo grokking does not mean model fine-tuning, which is an advanced customization feature of Tabnine Enterprise. Zencoder looks at whole repositories, generates embeddings, and stores those in a vector database for retrieval-augmented generation (RAG), and also generates a graph representation of the repo.
Zencoder supports more than 70 programming languages including Python, Java, JavaScript, TypeScript, C#, C++, Go, and Kotlin and allows users to select from GPT, Claude 3.5 Sonnet, and custom models. Its coding agent can reason and modify multiple files.
