Continue vs OpenCode (2026): Editor Copilot or Terminal Agent?
Updated April 29, 2026
How they actually differ
Continue and OpenCode both call themselves open-source AI coding tools but they sit at opposite ends of the autonomy spectrum, and the right pick depends almost entirely on whether you want the model to act for you or alongside you.
Continue is a code assistant in the original sense. Chat in the sidebar, inline edits, autocomplete, slash commands. The human owns the loop. The model proposes, you accept or modify. Best when you are in flow and want fast in-editor help: explain this function, rewrite this regex, draft a test for this. Strong VS Code and JetBrains integration, large library of model configurations, supports any provider. It has agent capabilities now too but the gravity is still assistive.
OpenCode is autonomous. You hand it a task in the terminal and it reads files, writes files, runs commands, and iterates until the task is done. The model owns the loop. Best for tasks you can describe in a sentence and walk away from: implement this feature behind a flag, fix this failing test, mechanical refactor across a directory. No IDE plugin (by design) means you can also drive it from scripts, CI, or SSH sessions.
Where the trade-off bites: Continue wins on tasks where you want to stay in the seat (code review, architecture work, debugging by hypothesis). OpenCode wins on tasks where you would otherwise context-switch off the keyboard. Different jobs. Many engineers use both.
Where Respan fits. Whichever you pick, the trace CLI coding agents cookbook lets you capture every model call as a trace, and the proxy coding agents cookbook routes calls through the Respan gateway for unified keys, per-developer cost tracking, and model switching.
For the framing on how to think about autonomous coding agents in production, see agent workflow patterns.
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 for the terminal, IDE, and desktop with 75+ LLM providers. Compare its Zen and Go pricing, pros, and cons.
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
- Terminal UI, desktop app, and IDE extensions
- 75+ LLM providers via Models.dev, including local models
- Sign in with GitHub Copilot or ChatGPT Plus/Pro
- LSP-enabled code understanding
- Multi-session agents on the same project
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
- Free and open source under MIT
- Doesn't store code or context data
- 75+ providers, including local models and existing Copilot or ChatGPT subscriptions
- Same agent across terminal, desktop, and five IDEs
Cons
- Zen data retention varies by provider, and OpenAI keeps requests for 30 days
- Zen credit purchases carry card fees of 4.4% + $0.30
- Go plans cap usage in 5-hour, weekly, and monthly windows
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 OpenCode — 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 OpenCode if you wantChoose if you want
- Terminal-first AI pair programming
- Privacy-sensitive environments using local models
- Parallel agent sessions on one codebase
- BYOK across providers without switching tools
Both run on any model. Respan proves which one is worth paying for.
Stop shipping model changes on a hunch. Respan scores output against your real production data, and its LLM gateway swaps providers with one word so you can test a cheaper model without touching your code.
Try Respan free