Continue.dev

AI coding tools are becoming a regular part of modern development, but not all of them offer the same level of flexibility. Continue.dev stands out because it is open source, integrates with familiar IDEs, and gives developers more control over how AI fits into their workflow.

What is Continue.dev?

Continue.dev first gained attention as an open-source AI coding assistant, but that label no longer fully describes it. It functions as a Continue.dev extension for VS Code and JetBrains, bringing AI support directly into editors that many developers already use. Its documentation highlights four core capabilities: Autocomplete, Edit, Chat, and Agent mode. Because of this, the Continue.dev plugin feels less like a chatbot and more like a flexible part of the development workflow.

What makes Continue.dev especially useful is the control it gives developers. It does not lock users into one model or vendor. It supports providers such as OpenAI, Anthropic, Gemini, Ollama, Amazon Bedrock, Azure, and xAI, while also supporting local development, offline use, and self-hosting for teams that care about privacy, compliance, and cost control.

In simple terms, Continue.dev is an open, configurable AI development platform that began as an IDE assistant and is now expanding into agents, automation, and source-controlled AI checks.

Key features

The easiest way to understand Continue.dev AI is to look at how it fits into daily development. Install the Continue.dev extension, connect a model, and start using it directly in your editor. Its value comes from practical features that support real coding work.

Agent mode is where Continue.dev is starting to stand out from many other AI coding tools. Through the Model Context Protocol, it can connect to servers and access context or capabilities beyond the editor. In simple terms, Continue.dev does more than help write code. It can be tailored to your team’s tools, rules, and working environment, making it more useful in real software projects.

Who is using Continue.dev?

Publicly, the clearest answer is that Continue.dev is being used by individual developers, open-source contributors, and engineering teams exploring more structured AI workflows. The VS Code Marketplace shows more than 2.5 million installs, while the main GitHub repository has over 32.4k stars, around 4.4k forks, and hundreds of contributors. These numbers do not tell the full story, but they show that Continue.dev is no longer a small side project.

The company’s blog and documentation also show that the product now targets teams, not just solo developers. Continue talks about Continuous AI, cloud agents, Mission Control, and shared workflows for pull requests, alerts, tickets, and repetitive engineering tasks. In simple terms, some use Continue.dev as an IDE assistant, while others are beginning to use it as infrastructure for repeatable AI-powered development work.

What makes Continue.dev unique?

The first thing is openness. Continue.dev is open source under the Apache 2.0 license, which means developers are not limited to a closed black-box product. They can inspect it, adapt it, and build around it.

The second is model flexibility. Instead of forcing one model stack, Continue.dev lets teams combine providers, use local or hosted models, and assign different models to different tasks. That matters because autocomplete, editing, retrieval, and automation often need different strengths.

The third is that it goes beyond chat. Continue Agents are designed as shareable AI workflows with built-in prompts, tools, and rules. Along with source-controlled AI checks and Mission Control, this makes Continue.dev feel less like a simple editor plugin and more like an engineering system built around AI.

Measurements

If a team adopts Continue.dev, the question should not be “Did developers use the tool?” The better question is “Did it remove friction?” Continue’s own guidance around Continuous AI emphasizes tracking intervention rate rather than vanity metrics alone. In practice, teams can also watch a few small but useful signals:

• Time to first draft
• Pull request turnaround time
• Number of repetitive edits handled by AI
• Review comments avoided after standard checks are added

Those measurements are simple, but they show whether Continue.dev is actually helping or just adding another panel to the IDE.

Improvements

Continue.dev is already quite broad, but that may be its only drawback; new users may miss its overall shape. One way to improve this is to clarify how the IDE assistant story and the newer platform story around checks, agents, and Mission Control relate to each other. More public case studies showing workflows and how real teams structure their work, specifically for onboarding, refactoring, documentation, and CI review, would help greatly.

A stronger beginner path would also help. The product is powerful, but power often comes with setup decisions. Better-curated starter templates for common stacks would make the Continue.dev plugin easier to adopt for teams that want to deliver value quickly.

Pricing

As of April 10, 2026, Continue’s pricing page lists three main options:

• Starter: $3 per million tokens, pay as you go
• Team: $20 per seat per month, including $10 in credits per seat
• Company: custom pricing

The Team and Company plans add features such as shared private agents, access controls, SSO options, BYOK, and enterprise support. That means the entry point is still lightweight, but the product is clearly being packaged for team-wide use as well.

Final thoughts

Continue.dev is worth watching because it shows where developer tooling is headed. The Continue.dev extension remains a useful hands-on coding assistant, but the bigger story is its push to make AI programmable, configurable, and team-aware. For developers, that means more flexibility and less lock-in. For teams, it offers more than autocomplete by supporting repeatable engineering workflows with AI built into the process.