ASSISTANTS
BLOCKS
BUNDLES
Custom AI code assistants are configurations of building blocks that enable you to receive assistance tailored to your specific use cases
The following assistants were recently created by the Continue community
Helps you manage your dlt+ project, build dlt pipelines, and explore loaded data. We recommend an LLM with strong tool-calling abilities and prompt adherence for the best experience. Reach out for an early access dlt+ license: https://dlthub.com/docs/plus/intro
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Assistent for Python Dev
SambaNova assistant using DeepSeek-R1-Distill-Llama-70B and qwen2.5-coder-32b-instruct for autocompletion
Specialized in Java development with emphasis on object-oriented principles, type safety, and robust testing methodologies.
Specialized in Next.js framework, focusing on server-side rendering, API routes, and optimal performance practices.
Proficient in modern PHP development, adhering to PSR standards and implementing strong typing practices.
Sambanova Qwen-2.5-coder-32B coding Assistant
Expert in modern JavaScript development, focusing on ES6+ features, clean code practices, and efficient testing strategies.
A custom AI code assistant to help me with a San Francisco mapping side project
A custom AI code assistant tailored for how I use Next.js
Proficient in Angular development with TypeScript, focusing on component architecture and dependency injection patterns.
Bhupesh's React Assistant
bhakti's Java Assistant
Pristina's JavaScript Assistant
Mistral for Chat, Edit, Apply, and Embed.
Devyn's JavaScript Assistant
Entirely local assistant for working with dlt (data load tool)
Assistant built to help with Java and custom ElasticSearch analyzers