Continue for Go: does it hold up?

Auto-updated · last refreshed 9/3/2026

Short answer

Continue works with Go the way it works with most languages: fully OSS. The catch is config-heavy.

Language-specific notes

Go is a sweet spot for AI: simple syntax, strict formatting, small language surface.

Setup for Go

1. Install Continue from continue.dev
2. Open your Go project
3. If you use MCP servers, add them via the settings pane
4. Let it index the codebase (usually 1-3 min for small projects)

Features that matter for Go devs

Pricing

free tier (OSS extension, BYO API keys).

Verdict

Pick Continue for Go if you are teams that need OSS auditable AI tooling, or local LLM users.

Alternatives for Go

• Cursor for Go
• Windsurf for Go
• Claude Code for Go
• GitHub Copilot for Go

Continue head-to-heads

• Continue vs Cursor
• Continue vs Windsurf
• Continue vs Claude Code
• Continue vs GitHub Copilot

FAQ

Is Continue the best AI tool for Go?

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 Go version?

Continue supports models like any via API, which are trained on Go through late 2025 at minimum. Bleeding-edge language features may need context.

Can I use Continue offline for Go?

Yes, Continue supports local models via Ollama or LM Studio, which works for Go but with smaller model quality.