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Coding Agents🔴Developer
C

Continue.dev

Open-source AI coding assistant that integrates with VS Code and JetBrains IDEs to automate code completion, generate intelligent suggestions, and optimize development workflows with support for multiple AI models.

Starting atFree
Visit Continue.dev →
💡

In Plain English

An open-source AI coding assistant that works in your editor — chat about code, get suggestions, and use any AI model you prefer.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQAlternatives

Overview

Continue.dev is a free, open-source AI coding assistant in the Coding Agents category that provides in-editor AI assistance for VS Code and JetBrains IDEs at no cost, with an optional hosted Continuous AI product for automated PR review starting with a free tier. The project has accumulated over 20,000 GitHub stars, more than 900 contributors, and over 1.2 million installs across the VS Code and JetBrains marketplaces as of early 2026. Continue.dev gives developers complete control over their AI coding stack by supporting multiple model providers — OpenAI, Anthropic, Google, and local execution via Ollama — through a single configuration file. The IDE extension provides contextual code completion, inline chat, multi-file refactoring, and natural language code explanation without requiring a subscription or per-seat fee. Teams bring their own API keys for cloud models or run models locally on their own hardware, meaning the marginal cost of adding Continue to an engineering team is the model inference cost rather than a fixed per-user license. The companion product, Continuous AI, extends this into CI/CD by running AI-powered checks as native GitHub status checks on every pull request. Engineering standards are written as markdown files committed directly to the repository — anti-slop rules, security review criteria, anti-duplication policies — and enforced automatically through the same branch protection workflow teams already use for unit tests. Pre-built check templates cover common patterns like code security review, duplicate code detection, and style enforcement, while custom checks can be written in natural language. The open-source extension supports over 40 programming languages through its underlying model providers and has been adopted by individual developers, startups, and enterprise teams in regulated industries including finance and healthcare where local model execution satisfies data residency requirements.

🎨

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Editorial Review

Continue.dev is well-regarded by developers for its open-source transparency, model flexibility, and zero per-seat cost. Users consistently praise the ability to switch between cloud and local models from a single extension. Common positive feedback highlights the VS Code extension's responsiveness and the standards-as-code approach of Continuous AI for PR enforcement. Criticisms center on initial setup complexity compared to turnkey tools like Copilot, occasional latency with local Ollama models on consumer hardware, and the learning curve for writing effective custom markdown checks. Enterprise users in regulated industries value the local execution option for data residency compliance but note that Continuous AI's GitHub-only support limits adoption for teams on GitLab or Bitbucket.

Key Features

Source-Controlled AI Checks+

Write engineering standards as markdown files committed to your repository — anti-slop rules, security review criteria, anti-duplication policies — and Continue runs them as native GitHub status checks on every pull request. This means standards are version-controlled, reviewable through normal PR workflow, and portable across projects.

Native GitHub Status Check Integration+

Continuous AI runs as a real GitHub status check, meaning it integrates with existing branch protection rules, required-checks configuration, and PR merge gating without custom CI scripting. Engineering managers can require Continue checks to pass before merge the same way they require unit tests to pass.

Multi-Model AI Support+

Switch between OpenAI GPT models, Anthropic Claude, Google Gemini, and local alternatives via Ollama from a single configuration file. Teams can route different tasks to different models — Claude for safety-critical review, GPT for quick completions, local Qwen for sensitive files — without managing multiple IDE extensions or subscriptions.

Local Model Execution via Ollama+

Run AI models entirely on local hardware using Ollama integration, ensuring no source code leaves the developer's machine. This unlocks AI coding assistance for air-gapped environments, classified projects, and organizations subject to strict data residency requirements.

VS Code and JetBrains IDE Extensions+

Native extensions for both major IDE families provide contextual code completion, inline chat, refactoring suggestions, and natural language explanation across multi-file project context. The extensions are free, open source, and don't require the hosted Continuous AI product, so individual developers can use them independently.

Pricing Plans

Open Source IDE Extension

Free

  • ✓Full VS Code and JetBrains IDE extension
  • ✓Multi-model support (OpenAI, Anthropic, Google, Ollama)
  • ✓Local model execution via Ollama
  • ✓Contextual code completion and inline chat
  • ✓MCP protocol compatibility
  • ✓Bring your own API keys

Continuous AI Free

Free

  • ✓AI-powered PR checks for public repositories
  • ✓Pre-built check templates (Anti-Slop, Security Review)
  • ✓Native GitHub status check integration
  • ✓Source-controlled markdown check definitions

Continuous AI Team

Contact for pricing

  • ✓AI-powered PR checks for private repositories
  • ✓All pre-built and custom check templates
  • ✓Priority check execution
  • ✓Team management and reporting dashboard
  • ✓Branch protection rule integration

Continuous AI Enterprise

Contact for pricing

  • ✓Everything in Team tier
  • ✓SSO and advanced access controls
  • ✓Dedicated support and onboarding
  • ✓Custom SLAs and compliance documentation
  • ✓Self-hosted deployment options
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Continue.dev?

View Pricing Options →

Getting Started with Continue.dev

  1. 1Install the Continue extension from VS Code marketplace or JetBrains plugin repository for your IDE
  2. 2Configure your preferred AI provider by adding API keys for OpenAI, Anthropic, or other supported models in the extension settings
  3. 3Set up local model execution by installing Ollama and downloading models like Code Llama or CodeGemma for offline AI assistance
Ready to start? Try Continue.dev →

Best Use Cases

🎯

Engineering organizations enforcing standards-as-code: Teams that want their style guides, security rules, and architectural conventions to live as markdown files in the repo and run as automated GitHub status checks on every PR

⚡

Privacy-restricted development: Regulated industries (finance, healthcare, defense) using the Continue IDE extension with local Ollama models for AI assistance in air-gapped environments where code cannot leave the machine

🔧

Multi-model AI workflows: Senior developers who want GPT-5 for complex refactoring, Claude for code review, and a local Qwen model for sensitive files — all orchestrated from a single IDE extension without juggling multiple subscriptions

🚀

Reducing senior engineer review burden: Engineering leads at fast-shipping teams who want mechanical review work (anti-slop, security checks, duplicate-code detection) handled automatically so human review time goes to architecture and design

💡

Open-source advocates avoiding vendor lock-in: Organizations that prefer source-available tooling for strategic, security-audit, or budget reasons and want to avoid per-seat AI coding fees from Microsoft or proprietary alternatives

🔄

Teams scaling PR throughput: Startups and platform teams whose PR volume is growing faster than reviewer capacity and need consistent, deterministic enforcement of standards rather than ad-hoc human review

Integration Ecosystem

14 integrations

Continue.dev works with these platforms and services:

🧠 LLM Providers
OpenAIAnthropicGoogleollama
💬 Communication
Email
🌐 Browsers
chrome
💾 Storage
local-filesystem
⚡ Code Execution
vs-codejetbrains
🔗 Other
apiGitHubci-cdollamamcp
View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Continue.dev doesn't handle well:

  • ⚠Continuous AI requires GitHub — teams on GitLab, Bitbucket, or self-hosted Git servers can't use the PR check product today
  • ⚠Writing high-quality markdown checks is a skill in itself; poorly phrased checks produce false positives or miss real issues
  • ⚠Local Ollama models trail frontier cloud models on complex multi-file refactoring and architectural reasoning tasks
  • ⚠Setting up multiple model providers requires managing API keys, rate limits, and per-provider billing rather than a single bundled subscription
  • ⚠The hosted Continuous AI product is newer than the IDE extension and has a shallower track record at large enterprise scale compared to Copilot Enterprise

Pros & Cons

✓ Pros

  • ✓Open-source IDE extension is completely free with no per-seat cost, unlike Copilot's $10–$19/user/month
  • ✓Standards-as-code approach: AI checks live as markdown files in your repo, version-controlled with Git rather than configured in a vendor dashboard
  • ✓Native GitHub status check integration means PR enforcement works with existing branch protection rules without custom CI scripting
  • ✓Model flexibility across OpenAI, Anthropic, Google, and local Ollama models lets teams pick the right LLM per task and avoid vendor lock-in
  • ✓Local-model execution via Ollama enables AI coding assistance in air-gapped or compliance-restricted environments
  • ✓Dual-product architecture (in-IDE assistant + CI/CD PR reviewer) covers both real-time coding and automated quality gates from a single vendor

✗ Cons

  • ✗Two distinct products (IDE extension and Continuous AI) can confuse new users about what's free vs hosted
  • ✗Setup requires configuring API keys for chosen model providers, more friction than Copilot's one-click GitHub auth
  • ✗Local Ollama models lag behind frontier cloud models like Claude Opus 4 and GPT-5 on complex reasoning tasks
  • ✗Writing effective markdown checks for Continuous AI requires learning the check format and iterating on prompt phrasing
  • ✗Smaller team and community footprint compared to Microsoft-backed Copilot means slower issue triage on edge cases

Frequently Asked Questions

What is Continuous AI and how is it different from the Continue IDE extension?+

Continuous AI is Continue, Inc.'s 2026 hosted product that runs AI-powered checks as native GitHub status checks on every pull request, while the Continue IDE extension is the free open-source assistant for VS Code and JetBrains. The IDE extension helps you write code in real time using a model of your choice; Continuous AI reviews code at the PR level using standards defined as markdown files in your repository. They are complementary but independent — you can use either or both.

How do AI checks in Continuous AI actually work?+

You write checks as markdown files committed to your repository — for example, an 'Anti-Slop' check, a 'Code Security Review' check, or a 'Reinventing the Wheel' check. Continue runs these as native GitHub status checks on every pull request, and when code misses the mark the check returns a failed status with suggested fixes. Checks are version-controlled and reviewable through normal PR workflow.

Can I use Continue.dev without sending code to external servers?+

Yes — the IDE extension supports local model execution through Ollama, allowing you to run models like Llama, Mistral, or Qwen entirely on your local hardware with no external transmission. This makes Continue.dev viable for air-gapped environments, regulated industries, and projects where source code cannot leave the machine.

How does Continue.dev compare to GitHub Copilot and Cursor?+

GitHub Copilot is locked to OpenAI models at $10–$19/user/month with no PR-level enforcement, while Cursor is a proprietary fork of VS Code at $20/user/month focused on the editing experience. Continue.dev is open source with over 20,000 GitHub stars, supports any model provider including local ones, and uniquely adds source-controlled PR checks via Continuous AI. The trade-off is more initial setup and a smaller support team compared to Microsoft-backed Copilot.

What programming languages and IDEs does Continue.dev support?+

The IDE extension officially supports VS Code and the JetBrains family (IntelliJ, PyCharm, GoLand, WebStorm, etc.). Language support is determined by the underlying AI model rather than the extension itself, so all major languages work well — Python, JavaScript, TypeScript, Java, C++, Go, Rust, PHP, Ruby, C#, and over 30 more. The Continuous AI PR checks work on any language in a GitHub repository.
🦞

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What's New in 2026

Continue, Inc. has launched 'Continuous AI' as a positioning and product line in 2026, framing the company around 'quality control for your software factory.' The flagship is source-controlled AI checks that run as native GitHub status checks on every pull request, with pre-built check templates including Anti-Slop, Code Security Review, and Reinventing the Wheel detection.

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Quick Info

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Coding Agents

Website

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