AI developer tools help people build software and use models in applications. This group covers Hugging Face, Cursor, Cognition, Replit, Lovable, Baseten, and Fireworks AI. It includes coding environments, conversational app builders, model repositories, and hosted model services.
Project files, instructions, conversation history, and running applications are separate parts of the work. Downloading code or using Git can preserve source files without preserving every chat, checkpoint, or deployed service. Read each product's recovery and export boundaries before moving a project to another tool.
The Hugging Face Hub hosts model, dataset, and Space repositories, with Spaces providing apps and demos. HuggingChat is a browser chat app for open models, while Inference Providers offers a separate API for calling hosted models.
Source: Hugging Face
Cursor's coding assistant can read and edit files, search a codebase, run commands, and use a browser. Rules provide reusable instructions, while external tool connections bring other services and data into coding sessions.
Source: Cursor
Cognition's Devin is a coding assistant available through cloud sessions and a command-line interface. Current desktop documentation uses the name Devin Desktop, distinguishes Devin Local from legacy Cascade, and is the destination for older Windsurf documentation links.
Source: Cognition
Replit's cloud Project Editor combines assistant conversations, files, a running preview, and publishing tools. Its assistant can create and change applications from written requests, while the editor also supports direct code work and Git.
Source: Replit
Lovable generates and edits web application code from written conversations, with preview, backend, and publishing tools. Projects live in workspaces, and code can be downloaded or synced to an external Git repository.
Source: Lovable
Baseten supplies hosted Model APIs and infrastructure for deploying and serving models. Applications and supported coding tools can call its Model APIs without first creating a dedicated model deployment.
Source: Baseten
Fireworks AI provides hosted inference and training for open models through serverless APIs and dedicated deployments. Nexus connects existing coding tools to its models, while managed training and the Training API adapt models using a customer's data.
Source: Fireworks AI
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This group includes Hugging Face, Cursor, Cognition, Replit, Lovable, Baseten, and Fireworks AI. The company entries show the associated products and explain whether they provide a coding workspace, an app builder, model resources, or a model service.
Do not assume it will. Source files, conversation history, checkpoints, and deployment state have different boundaries. Check the tool's documented code export and conversation export options separately, and retain any project instructions needed to continue the work.
No. A model provider supplies the model that processes a request. An external tool connection gives an assistant access to another service or data source. A product can support one without supporting the other, and each connection can have its own permissions.