We are celebrating Continue's first birthday! Thank you to everyone in our community who made our first year amazing. We are excited for what's in store for year two ?? https://lnkd.in/gph54kSs
关于我们
The leading open-source AI code assistant. You can connect any models and any context to compose custom autocomplete and chat experiences inside the IDE
- 网站
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https://continue.dev
Continue的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 总部
- San Francisco，CA
- 类型
- 私人持股
- 创立
- 2023
- 领域
- open source、dev tools和ml
地点
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主要
获取路线
US，CA，San Francisco
Continue员工
动态
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You can now use Continue instantly with zero setup in Codeanywhere!
The secret sauce behind instant AI coding? Watch how Daytona powers Codeanywhere to deliver Continue with zero setup. From login to AI-assisted coding in seconds. This is what happens when great infrastructure meets great tools! https://lnkd.in/g-2knbFc
- YouTube
youtube.com
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You can now use Dev-docs to create contextual documentation that can automatically be used as context with Continue! ?? Andrew van Beek shows you how here: https://lnkd.in/gVtS4d5U
Contextual documentation with Dev-Docs and Continue | Your Dev-Docs
docs.dev
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Continue转发了
Continue x Codeanywhere the new AI pair programer all in the cloud, zero setup required! First demo with Theo Browne's T3 stack ????
?? Watch how Nikola Balic uses Continue as an AI pair programmer to build a simple landing page - all in the cloud, zero setup required! In this short tutorial, he showcases how modern dev tools combine for a seamless development experience. ??? Tech Stack: ? Continue as AI pair programmer ? Codeanywhere cloud IDE (powered by Daytona) ? Theo Browne's T3 Stack for Next.js app scaffolding ? Key Features: ? Zero local setup (using devcontainer.json) ? Instant development environment ? Built-in AI assistance ? Live preview deployment ? Collaborative features This combination of cloud IDE and AI assistance is revolutionizing how developers approach prototyping and development, making it more accessible and efficient than ever. What's your take? How do you see cloud IDEs and AI transforming the future of web development? Share your thoughts in the comments! ??
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The future of AI code generation, using LLMs in release deployment, and catching vulnerabilities in real-world code with LLMs in the Nov 2024 edition of the Continue Newsletter https://lnkd.in/g6ua53su
Continue Newsletter: November 2024 Updates
blog.continue.dev
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Continue转发了
We're going to be doing something special during the livestream this week. We're going to customise developer tools by giving https://lnkd.in/eG_6YEsX a spin. We might even train a custom LLM to help us write code that we like! Join live here: https://lnkd.in/eU5UJ4WM
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Continue转发了
At the All Things Open Conference watching Gabe Goodhart of IBM, Michael Chiang of Ollama, and Ty Dunn of Continue talking about building with open source AI. Really great discussion moderated by Jerod Santo of Changelog Podcast. If you want to try out these tools together, check out Gabe Goodhart’s article: https://lnkd.in/ezupyrBX
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Continue转发了
Ty Dunn of Continue explains the better future that #AI #codegeneration tools offer--and what's preventing #devteams at #startups and #enterprises from adopting them: https://lnkd.in/gttmRtNc
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Continue转发了
Ever wondered what it’s like to have an AI assistant that writes code, debugs, and handles?documentation—all locally on your machine? AI Engineer Kelly Abuelsaad shows you how to use a local open source AI code assistant to develop applications, powered by the Granite Code model. If you're looking to integrate AI into your development process while maintaining privacy, control, and open source compatibility, this guide shows you how to get started! https://lnkd.in/gRCSVvnx #AI #LLM #opensource
Developing a gen AI application using IBM Granite Code
developer.ibm.com
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Continue转发了
Register on Luma: https://lu.ma/hfqn3lj3 Ty Dunn is the Cofounder CEO of Continue, the leading open-source #AI code assistant. In this talk, Ty will make the case for why you should think of AI code assistants as compound AI systems. Doing so enables us to understand, measure, and improve the suggestions we receive from these "AI software development systems". It also sets all of us up to work together as part of an ecosystem that can support every developer workflow and ensures????????????????????? ?????? ??????????????????, ?????? ??????????????????. Check out Ty’s session “???? ???????? ???????????????????? ?????? ???????????????? ???? ??????????????” at Compound AI Systems Meetup on Tuesday, Oct 22! Register on Luma: https://lu.ma/hfqn3lj3 Thank you for hosting Databricks Databricks Mosaic Research Kobie Crawford Jasmine Wang
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