Continue enables you to create, share, and use custom AI code assistants. Our open-source IDE extensions fit into your existing workflows, while letting you leverage our vibrant hub of models, context, and tools.
I'm Nate, co-founder at Continue. Today we're launching Continue 1.0: a major upgrade in reliability for our VS Code and JetBrains extensions along with hub.continue.dev, the easiest place to build and share custom AI code assistants. ✨
For over a year, we've seen the Continue community use custom prompts, rules, models, and more. While immense value has come from customization, it was still difficult. We're trying to solve that.
With its large and growing ecosystem of pre-built "blocks", we hope that hub.continue.dev will make it frictionless for anyone to use a custom coding assistant, or share what you've built with others.
Already the hub includes hundreds of blocks:
🦙 Models - frontier LLMs from more than a dozen providers
📚 Prompts - codify complex tasks to be reused with just a slash command
✅ Rules - instructions that ensure every response follows your preferred practices
🌐 Docs - give your LLM the latest information about your specific tech stack
🛠️ MCP - a large library of custom tools, powered by the Model Context Protocol
...and it only just went live. If you've ever used an AI code assistant and wished it knew a bit more about your development practices, then Continue is for you. I can't wait to see what you all build!
This looks super useful for devs who constantly switch between projects. Being able to pick up right where you left off without losing context is a huge productivity boost. Congrats on the launch
Great stuff: as Continue has added more features creating powerful custom configs has become something of an artform. It's great to be able to package all that complexity up and share it easily. My go to AI code assistant!
Matthaus here, CEO/co-founder of dlthub, makers of open source Python library dlt here. Most of the agents in our domain of data engineering don't work (there's some reasonably well working use cases in data visualisation and analysis, though). Eg no on has figured out a "Cursor" for data engineering out, yet. We are believers in https://amplified.dev/ - we as a community need to build an open ecosystem of agentic components to push the frontiers of what agents can do across many domains. Hence we early contributors to the building blocks offered in https://hub.continue.dev/dlthub. We are curious of what the community will come up with. We aim to contribute more building blocks in time !
Always enjoyed trying out continue using the IDE plugin on vscode, excited to check out the updates
Group of Ai assistants for different development in open source will surely help for faster coding practices and shared experience
I've been involved in building the hub and the extensions for the past few months. Feel free to ask if you have any questions, especially on the technical side!
Do I need to know any specific framework or is it more like configuring settings?
