Continue
Use the existing open-source Continue codebase for configurable coding assistance in supported IDEs. Verify current hosted-service availability and support separately before adopting it for new work.
The verdict on Continue: Developers who want AI coding assistance in VS Code or JetBrains without being locked to one model provider The available Continue codebase and any hosted service are separate decisions. Pricing: Open-source code is available; hosted-service availability, support, and current terms require confirmation..
Best For
Developers who want AI coding assistance in VS Code or JetBrains without being locked to one model provider
Standout Feature
Fully provider-agnostic, connect Claude for complex refactoring and a fast model for everyday autocomplete in the same setup
TL;DR
Evaluate the available code separately from any hosted offer, and verify maintenance, compatibility, and provider requirements before relying on it.
Alternatives
Fit Score: use-case reference
How this is scoredContinue scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
Codebase Q&A in an existing IDE
3.6/5- Capability
- 4/5
- Reliability
- 3/5
- Value
- 4/5
- Ease
- 3/5
- Compatibility
- 4/5
Ask questions about an existing repository using codebase indexing inside a supported IDE. This score covers the available code, not an assumed live hosted plan or vendor support commitment. Confirm repository maintenance and IDE compatibility, and budget for the selected model provider or local hardware alongside configuration work.
Provider-configurable code autocomplete
3.6/5- Capability
- 4/5
- Reliability
- 3/5
- Value
- 4/5
- Ease
- 3/5
- Compatibility
- 4/5
Get contextual code completions while choosing the model behind the editor workflow. Provider and IDE configuration take work, and completion quality depends on the chosen model. The available open-source code can avoid a fixed hosted subscription, but maintenance, provider terms, and hardware or API costs need checking before deployment.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Continue is an open-source coding AI extension for VS Code and JetBrains that provides chat, autocomplete, and codebase-aware editing assistance while remaining fully configurable, connecting to any LLM provider rather than being locked into a single vendor's model. The provider-agnostic design enables teams to use Anthropic Claude for complex refactoring, a fast Groq-hosted Llama model for autocomplete latency, and a local Ollama model for privacy-sensitive codebases, all within the same editor experience. Codebase indexing gives the AI awareness of your full repository, enabling context-aware answers to questions like 'where is this function called?' or 'how does authentication work in this project?' without manually providing file contents.
Tab autocomplete integrates with the editor's suggestion system, providing multi-line completions that understand surrounding code context. The edit mode applies changes to specific selected code regions based on a natural language instruction, enabling targeted refactoring without regenerating entire files. With 22,000+ GitHub stars, Continue is a widely adopted open-source coding AI for developers who want flexibility over their model selection, privacy over their codebase data, or prefer JetBrains tools where Cursor and Windsurf don't operate.
Configuration is file-based (config.json), enabling team-wide model and provider settings through version control.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Provider-configurable coding assistance rather than a single fixed model
- • Local-model integration is available for deployments that need it
- • Existing integration paths include VS Code and JetBrains
- • Provider and IDE configuration require setup
- • Hosted availability and ongoing support must be confirmed separately
- • Local-model use does not by itself establish complete privacy
Key Features
- Multi-model support
- VS Code and JetBrains
- Local LLM integration
- Codebase indexing
- Inline edit commands
- Custom context providers
Trust & Data
Verified 2026-09
- Training on your data
- Not publishedContinue's privacy policy covers personal data handling but contains no explicit statement about whether code, prompts, or other user content is used to train AI models.
- Compliance
- Not published
- Retention
- Not published
- Export
- Not published
Source: continue.dev
As published by the vendor. Verify independently before purchase decisions.
Our Take
This listing should not be read as a promise that former hosted plans, data-export deadlines, or vendor support remain current. Check current provider terms and repository maintenance before starting a new deployment. A local model may keep inference on your machine, but selected APIs, connectors, telemetry, and configuration determine the actual data flow.