The Hidden Cost of Tool Switching

Context switching kills flow. Every switch between your IDE and ChatGPT adds time, errors, and cost. Integrated AI tools keep you productive.

How to Get the Most Out of Your AI Agent

Learn how to configure AI agents with the right context, tools, and workflows to ship code faster, all without leaving your IDE or terminal.

Beyond Code Generation: How Continue Enables AI Code Review at Scale

Generative coding started with autocomplete and has evolved into sophisticated code generation. But what if your AI assistant could do more than just write code? What if it could reason about your codebase, enforce standards, and provide intelligent feedback? This is where Continue transcends its identity as a coding assistant

Chiseling: The Art of Polishing Vibe Code

Vibe coding gives you velocity, but chiseling gives you quality. It's the critical human judgment that separates a prototype from production code.

My New Developer Workstation: NVIDIA DGX Spark

When NVIDIA asked if we wanted to test the new DGX Spark as a daily driver, I said yes immediately.

From Vibe Engineering to Continuous AI

Vibe coding emerged earlier this year to describe fast, loose experimentation with AI. Now, Simon Willison has proposed "vibe engineering": Vibe coding is irresponsibly building software through dice rolls, not caring what code is produced What about when engineers at the top of their game use AI tools

Continuous AI

How I Simplified Open Source Contributions with Rules, Prompts, and AI Agents

How trying to reduce friction for contributors led me to discover the difference between being clever and being more effective with AI using rules and prompts.

Granite 4 Models Available on Continue

Great news for developers using Continue. We're partnering to make the latest Granite 4 models available right where you work, with a focus on efficiency, long-context reasoning, and flexible deployment from laptop to data center. This post summarizes what's coming, why it matters for engineering teams,

Introducing Agents: Run Continuous AI in the Background

Today we're shipping Agents, allowing you to run and manage background agents in Continue. The Future is Already Running While background agents have begun to be used from the IDE for smaller, one-off tasks, we think that now is the time to embrace a fundamental truth: the future

Continuous AI

Stop Copy-Pasting Code Into ChatGPT: Build Your Own AI Assistant Instead

ChatGPT has no idea what you're working on. Build an AI Assistant today using Continue's cn CLI and our new cookbooks if you really want to amplify your productivity.

A Fresh Coat of Code: Continue's New VS Code Interface

Your AI coding assistant just got easier to use. The latest Continue update brings a comprehensive UI refresh that reduces visual clutter, improves navigation, and makes every interaction more intuitive—whether you're switching between AI models, configuring settings, or managing context. This update touches every corner of the

Continuous AI

Automating User Experience Issues: A Continuous AI Workflow for PostHog Session Analysis

How we built an automated system that transforms user session data into actionable GitHub issues using Continue CLI—no bash scripts required

The New Attack Surface: Why AI Agents Need Security by Design

Learn about the "Lethal Trifecta" in AI agent security, a new threat model for systems that read/write files, make network requests, and access secrets. Discover how Continue addresses these vulnerabilities with defense-in-depth strategies and why security by design is crucial for AI tools.

Introducing Instinct: the world’s best open Next Edit model, built by Continue

Meet Instinct, Continue’s open Next Edit model that's built to predict your next edit and keep you in flow

Newsletter

Continue Newsletter - September 2025

The Week AI Coding Got More Human. Launch week at Continue.

Is Your Team Ready for Continuous AI? A Complete Assessment Guide

Learn how to assess your team’s readiness for Continuous AI. Explore maturity levels, key success dimensions, and a step-by-step roadmap for moving from individual AI experiments to team-wide adoption.

Why Every Development Team Will Need Continuous AI

The same market forces that made DevOps inevitable are now driving Continuous AI adoption across the industry.

Beyond the Editor: How I'm Using Continue CLI to Automate Everything

AI can feel magical when you’re filling in a function, but when you step back and try to build a real application—with security layers, architecture, testing, or CI/CD—their usefulness drops off. The author of the reddit post isn't wrong: autocomplete isn’t enough to

Why Continue's Philosophy of Model Choice Makes Sense

Different AI models excel at different coding tasks. Here's why developers should choose their own models and Continue's 2025 recommendations for planning, chat, autocomplete, and more.

Featured

Building Async Agents with Continue CLI

Continue CLI brings continuous AI to your terminal. Generate smart commits, run parallel analysis, and automate coding workflows with AI agents.

Featured

Next Edit powered by Mercury Coder

Continue now features Next Edit, powered by Inception Labs, intelligently predicting and suggesting complex code edits before you make them.

Parallel Tool Calling: Making AI Agents Work Faster

By Patrick Erichsen, Software Engineer at Continue If you've ever watched an AI agent slowly read file after file, one at a time, you know the pain. What should take seconds stretches into minutes as the model politely waits for each operation to complete before starting the next.

Featured

What is Continuous AI? A Developer's Guide

Discover how to implement Continuous AI in your development workflows with our maturity model, platform-agnostic approach, and key metric to boost coding productivity.

The Continuous AI Workflow: Opus 4.1 Plans, Sonnet 4 Builds, I Ship

Stop treating all AI models the same. Use Claude Opus 4.1 for deep architectural thinking and comprehensive planning, then switch to Sonnet for rapid implementation. This two-model workflow transformed my complex data pipeline project from overwhelming to manageable. Opus catches production issues before you write code, while Sonnet cranks

Finding Similar GitHub Issues with Continuous AI and Chroma Cloud

Ever opened a pull request and wondered "hasn't someone dealt with this before?" What if your AI coding assistant could instantly find similar issues across your entire project history? Let's make that happen using Chroma Cloud. At Continue we believe the future is Continuous