Systems | Development | Analytics | API | Testing

At their best, code generation LLMs reduce cognitive load, accelerate iteration, and serve as a great pair programmer for well-scoped tasks. That said, they also introduce a level of risk. Whether it’s using a variable that was never declared, making up functions that aren’t part of a class, using code from outdated packages, or misdiagnosing an issue, code generation models can create problems.

Today, we’re releasing the JavaScript SDK with full TypeScript support for Koyeb Sandboxes. Less than a month ago, we introduced Koyeb Sandboxes and our Python SDK, giving teams a simple way to run AI-generated code securely in isolated environments. The JavaScript SDK expands this experience and brings the same secure, high-performance sandboxes directly to JavaScript/TypeScript applications, so developers can run AI-generated and untrusted code safely without managing infrastructure.

Today, we are excited to announce a new and improved authentication experience for all Koyeb users, bringing stronger security and smoother access to your Koyeb accounts. When we first built Koyeb, we used an internal authentication system that was simple, easy to maintain, and served us well. As the platform grew and matured, we knew we had to redesign our authentication stack to meet the security needs of the teams using us.