Continue Newsletter - May & June
š Leverage rules as a context provider in Continue
Use the @ symbol to leverage specific rules that provide context and instructions to the assistant. This ensures more accurate and consistent code generation based on your project's unique guidelines. These rules help you define project-specific instructions for the AI, customizing its behavior while promoting consistency and boosting your productivity.
Continue Reading
Containerized Model Context Protocol blocks with Docker Desktop integration for secure, reproducible AI environments with one-click deployment.
š CEO Journey: From Open Source to Continue
Chad Metcalf shares his path from contributing to open source projects to leading Continue as CEO, offering insights into building developer-first AI tools.
š§ Google Gemini 2.5 Pro Integration
Deep dive into Continue's expanded support for Google's latest Gemini model, bringing enhanced reasoning capabilities to your coding workflow.
šļø Continue CoFounder on Developer Control
Podcast interview with founder, Ty Dunn, exploring Continue's philosophy of putting developers in control of their AI coding assistant experience.
š Devstral Local Agent Support
Continue now supports Devstral for local agent mode, enabling powerful coding assistance without cloud dependencies.
From the Community
- Mercury Diffusion Models: Revolutionary diffusion-based architecture achieving 5-10x faster code generation while maintaining quality.
- LanceDB Partnership Deep Dive: How Continue's local-first approach with LanceDB is transforming AI-native development.
- Open Source Copilot Alternative: Complete guide to switching from proprietary coding assistants to Continue's open-source solution.
- Beyond RAG for Coding Agents: Industry analysis on why traditional RAG approaches fall short for autonomous coding (featuring Continue team insights).
- Agent-First Development: How AI agents will fundamentally reshape the entire software development lifecycle.
- AI as Normal Technology: Academic perspective on integrating AI tools into everyday development workflows without disruption.
- Enterprise Test Migration: Airbnb's case study on using LLMs to accelerate large-scale codebase transformations.
The best developer tools prioritize simplicity and flexibility over complexity. Every enhancement reinforces that developers should be amplified to achieve what was once impossible, so continue on over to our community, we'd love to see what you can build next.
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