Continue vs Open Code
Updated April 29, 2026
Overview
Continue is the leading open-source AI code assistant for VS Code and JetBrains, with autocomplete, chat, edit, and agent capabilities powered by any LLM you choose — Claude, GPT-4, Mistral, or local models via Ollama. Free OSS extension plus a Hub for source-controlled prompts, rules, and CI checks; paid plans from $10/mo.
OpenCode is an open-source AI coding agent built for the terminal by Anomaly. It connects to 75+ LLM providers via Models.dev, supports parallel agent sessions on the same project, and has a privacy-first design — no code or context data is ever stored. Available as a TUI, IDE extensions, and a beta desktop app for macOS, Windows, and Linux.
Key features
Core capabilities each platform advertises.
- Autocomplete, chat, edit, and agent modes in VS Code and JetBrains
- Bring any LLM — Claude, GPT-4, Gemini, Mistral, or local Ollama
- Source-controlled config: prompts, rules, and context providers live in the repo
- Continue Hub for shared assistants, rules, and CI-enforceable AI checks
- On-prem, cloud, or fully offline deployment for compliance-sensitive teams
- Privacy-first — zero retention of code, prompts, or context data
- 75+ LLM providers via Models.dev (Claude, GPT, Gemini, GitHub Copilot, ChatGPT Plus/Pro, local)
- Multi-session capability — run planning + build agents in parallel on the same repo
- LSP-enabled code understanding across languages
- Shareable session links for debugging and team review
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- 100% open-source — no vendor lock-in, fully auditable
- Most flexible model support of any major coding assistant
- Source-controlled AI configuration treats prompts like code
- Strong on-prem / air-gapped story for enterprise
- Active Hub marketplace and community contributions
Cons
- Setup is more involved than turn-key tools like Copilot or Cursor
- UX is functional rather than polished compared to Cursor
- Quality bound to your chosen model — no built-in agent intelligence
- Smaller out-of-the-box integration set than incumbents
Pros
- Open-source under MIT — 147K+ GitHub stars, no vendor lock-in
- Privacy-first design with zero data retention
- 75+ providers including local, GitHub Copilot, and ChatGPT Plus/Pro accounts
- Multi-session parallel agents (build + plan modes)
- Free with optional Zen service for optimized models
Cons
- Terminal-first — less polished than IDE-native agents like Cursor
- Desktop app still in beta on macOS/Windows/Linux
- Steeper learning curve than minimalist tools like Claude Code
- Provider availability depends on third-party API access (e.g., Anthropic OAuth restrictions)
What people are saying
Continue.dev isn't the easiest AI coding assistant, and it's not the prettiest, but it's undeniably the most powerful and flexible option available.
Read full reviewIt was the first time I felt like I could write up a large prompt, walk away from my laptop, and come back to a lot of work having been done.
Read full reviewContinue or Open Code — which should you choose?
Choose Continue if you wantChoose if you want
- Standardized AI coding workflows across an engineering org
- On-prem or air-gapped development for regulated industries
- BYOK with no markup across many providers
- Source-controlled prompts and rules under code review
- CI gates that enforce AI-output quality before merge
Choose Open Code if you wantChoose if you want
- Terminal-first AI pair programming for keyboard-driven developers
- Privacy-sensitive or air-gapped engineering environments
- Parallel agent workflows (planner + builder) on the same codebase
- BYOK across many providers without changing tools
- Debugging with shareable session traces for team review
Compare Continue and Open Code on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.