The Archive

Introduction At Replit, we are rethinking the developer experience with AI as a first-class citizen of the development environment. Towards this vision, we are tightly integrating AI tools with our IDE. Currently, LLMs specialized for programming are trained with a mixture of source code and relevant natural languages, such as GitHub issues and StackExchange posts. These models are not trained to interact directly with the development environment and, therefore, have limited ability to understand events or use tools within Replit. We believe that by training models native to Replit, we can cr...

One of our core beliefs at Replit is that multiplayer collaboration makes building software more creative and efficient. After introducing Replit AI for All last year, we heard from our users how transformative AI has been to their development workflows. Today, we are announcing several updates to our AI Chat product, but most importantly, we are bringing the multiplayer power of Replit to AI. We will continue to offer AI to all users, with advanced models available for Replit Core members, but now with the ability to collaborate with others in multiple, persistent chat sessions. What's new? ...

Integrating the latest AI tools into your team can be a significant advantage. However, assessing these tools and setting them up to run can take time and effort. Whether you’re testing a new large language model or building a prototype with a vector database, chances are somebody has already developed a similar AI tool. Increasing developer productivity is a cornerstone of Replit, and we want to give you the tools to elevate your team and quickly incorporate the latest AI developer tools into your business. Fork one of the AI templates below and customize it for your requirements. Once you’r...

Guest post by Weights & Biases Weights & Biases (W&B) provides AI developers with powerful tools to build better models faster and is used by almost every top LLM research lab today. To help support internal and external users, W&B built WandBot – a question-answering bot built on the robust llama-index library and the intelligence of OpenAI's GPT-4. By referencing documentation, wandb source code, and code examples, WandBot helps users onboard to W&B faster, and experienced users solve more advanced issues.