Continue
The leading open-source AI code assistant for VS Code and JetBrains with full local model support.
Overview & Analysis
Continue is the leading open-source AI code assistant supporting both VS Code and JetBrains IDEs. With over 22,000 GitHub stars, Continue gives developers complete control over their AI experience, allowing custom prompt workflows, local documentation indexing, and private local model execution via Ollama.
Pricing Model: 100% Free & Open Source (Apache 2.0). Connect to any API or local LLM via Ollama.
Free Tier Details: Completely free open-source extension with zero paywalls.
Technical Specs & Models
Key Capabilities & Features
Specialized engineering mechanisms implemented in Continue.
Dual VS Code & JetBrains Support
Native extensions for VS Code, IntelliJ IDEA, PyCharm, WebStorm, and Android Studio.
Custom Slash Commands & .prompt Files
Author customized prompt templates and test generators directly inside your repository.
Context Providers (@docs, @codebase, @diff)
Reference external documentation sites and git diffs effortlessly inside chat.
Air-Gapped Local Execution
Pair with Ollama or vLLM for completely private, offline code completions and chat.
Pros & Cons Evaluation
Forensic analysis of developer experience, cost efficiency, and trade-offs.
- 100% open source under Apache 2.0 with total privacy and local model support
- First-class citizen on JetBrains IDEs as well as VS Code
- Flexible configuration via a simple config.yaml or config.json file
- Continue Hub facilitates sharing prompts and context rules across teams
- Agentic multi-file autonomous editing is less automated than Cursor Composer or Windsurf Cascade
- Requires configuring your own model endpoints or local Ollama instances
Pricing Plans & Tiers
Subscription plans, credit quotas, and commercial deployment options.
Open Source
Free forever under Apache 2.0
- Unlimited local & API usage
- VS Code & JetBrains extensions
- Custom context providers
- Slash commands (.prompt files)
Continue Hub (Teams)
For teams sharing centralized prompts & models
- Shared team model configuration
- Centralized prompt management
- Usage analytics
- Priority community support
Verified Benchmark Evaluations
Standardized evaluation scores recorded on SWE-bench and synthetic code harnesses.
| Benchmark Harness | Score / Accuracy | Evaluation Metric | Verification Status | Evaluation Notes |
|---|---|---|---|---|
| DeepSWE v1.1 | 63.8% | Task Completion | Verified | Standard benchmark instance run. |
| Terminal-Bench 4.0 | 60.5% | Tool Calling | Verified | Standard benchmark instance run. |
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