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

The Psychology of Coding: Why Developers Avoid Planning (and How AI Planning Tools Like Continue Fix It)

Why do developers resist planning? Discover how AI planning tools like Continue’s Plan Mode and a 15-minute workflow turn planning into your coding superpower.

Plan Mode: Your LLM's Safe Sandbox for Smarter Code Exploration

Working with an AI assistant on a production codebase without some guardrails might be getting unpopular. One wrong move generating tests could drop a database table. One bold refactor and you're in a three-hour debugging spiral. What if instead of diving straight into code changes, your AI could

From Domain to Deployment: A JavaScript Productivity Story with AI

This blog post shares how I went from an empty domain to a live site using AI collaboration in Continue, and what I learned about building momentum when time is your scarcest resource.

Cognee MCP is my new AI Memory for making rules

It started with a simple mistake. I'd create new documentation pages for our Mintlify site, get them ready for review, and then... they'd be invisible on the live site. Every single time, I'd forget to add them to docs.json. That's when

Intervention Rates Are the New Build Times

Remember when CI/CD teams obsessed over build times? That single metric captured everything: code quality, infrastructure efficiency, process bottlenecks. Teams that measured and improved build times systematically ended up transforming how they shipped software.

Continue Newsletter - July 2025

0:00 /0:05 1× Introducing Plan Mode, a new agent mode that provides safer AI assistance by restricting tool access to read-only operations. Like Agent mode, it enables intelligent conversation with tool calling capabilities, but limits the AI to tools that can only observe and analyze your codebase without

How we migrated docs from Docusaurus to Mintlify

It started with a missing feature. I was trying to add cwd support to our MCP implementation when I realized, this isn't documented anywhere. As I dug deeper into PR #6280, I discovered more gaps. Before I knew it, I was staring at our entire documentation structure, wondering

Beyond Code Generation: How Context Engineering Can Transform Developer Experience

A new developer joins your team and asks, "Why did we choose Redis for our session store?" In most organizations, the answer is either lost to history or requires hunting down the one person who remembers. But what if you could simply query your development history and get

Recurse ML Rules That Enable async Context Engineering with Kids Around

Last weekend, I was practicing what Ty Dunn shared on "context engineering" with my project contributor.info while the kids were home. Instead of traditional vibe coding, I was systematically providing Agent mode with the right context to work autonomously during my fragmented family time. You know the