Continue for Swift: does it hold up?
Auto-updated · last refreshed 9/3/2026
Short answer
Continue works with Swift the way it works with most languages: fully OSS. The catch is config-heavy.
Language-specific notes
Swift support varies. JetBrains AI and Xcode-integrated tools tend to do best.
Setup for Swift
- Install Continue from continue.dev
- Open your Swift project
- If you use MCP servers, add them via the settings pane
- Let it index the codebase (usually 1-3 min for small projects)
Features that matter for Swift devs
| Feature | Continue |
|---|---|
| Autocomplete | Yes |
| Agent mode (multi-file) | Yes |
| Terminal integration | No |
| Codebase indexing | Yes |
| Local models (privacy) | Yes |
| MCP support | Yes |
Pricing
free tier (OSS extension, BYO API keys).
Verdict
Pick Continue for Swift if you are teams that need OSS auditable AI tooling, or local LLM users.
Alternatives for Swift
Continue head-to-heads
FAQ
Is Continue the best AI tool for Swift?
Depends on your workflow. Continue is strongest when you want fully OSS. For a full head-to-head, see the comparisons page.
Does Continue support the latest Swift version?
Continue supports models like any via API, which are trained on Swift through late 2025 at minimum. Bleeding-edge language features may need context.
Can I use Continue offline for Swift?
Yes, Continue supports local models via Ollama or LM Studio, which works for Swift but with smaller model quality.