Continue Alternatives and Migration: Cursor, Cline, or Claude Code (2026)

Continue is a common open-source AI coding extension for VS Code and JetBrains. Its strengths are being open source, letting you choose models, and keeping configuration in the repository. But whether to switch depends on a team's constraints across IDE, models, workflow, and governance, not on whose demo looks flashier. In 2026, the three most common alternative directions are Cursor, Cline, and Claude Code.

This article breaks the comparison into four dimensions: IDE support, model access, workflow, and team governance, then provides a scenario table and an executable migration checklist.

1. First confirm: are you changing tools, or filling a gap?

Continue's strengths are clear: it covers both VS Code and JetBrains, supports bring-your-own model keys, can connect to local inference, and its configuration file can travel with the repository. If these are hard requirements for the team, migration may not pay off. The signals that genuinely justify an evaluation are:

Agent long tasks are frequently interrupted, and approvals and rollbacks are not transparent enough.
The team wants a unified editor experience and lower cost from everyone maintaining separate configurations.
Stronger terminal, multi-repository, and CI automation capabilities are needed.
Management capabilities such as SSO, audit, and unified billing are needed.
The maintenance cost of the current tool already exceeds the value it delivers.

If the issue is only that "one answer was bad", adjust the rules, context, and model tier first. Migrating tools does not automatically fix problems with prompts and acceptance criteria.

2. The core differences between the four tools

IDE support: Continue is a VS Code and JetBrains extension; Cursor is a standalone editor built on the VS Code ecosystem and cannot be installed as a JetBrains plugin; Cline is mainly used as a VS Code extension and also offers a command-line form; Claude Code is terminal-first and also provides VS Code and JetBrains extensions plus a desktop app.

Model access: Continue supports multiple providers, and OpenAI-compatible endpoints, the Anthropic protocol, and local models can all be configured; Cline likewise focuses on bring-your-own keys and has a broad provider list; Cursor has built-in models, and some versions support overriding an OpenAI-compatible Base URL, though autocomplete usually still uses the built-in models; Claude Code is mainly oriented toward Claude, connects through the Anthropic protocol, and can also use a compatible gateway.

Workflow: Continue covers autocomplete, chat, edit, and Agent, leaning toward a "lightweight full stack"; Cursor's Tab autocomplete and in-editor Agent experience are cohesive; Cline emphasizes Plan/Act, command approval, and checkpoints, suiting teams that use agents cautiously; Claude Code excels at long terminal tasks, scripts, multiple repositories, and automation.

Team governance: Cursor offers enterprise capabilities such as team management, SSO, and privacy mode; Continue distributes rules and models through the Hub and configuration files; Cline's governance relies more on repository configuration and usage habits; Claude Code combines Anthropic's backend with gateway key management. Specific features change by version; before procurement, refer to each vendor's official documentation.

3. How to write model access: one gateway, two protocols

If a team uses several tools at once, unifying them behind one gateway reduces key management and scattered billing. Continue's config.yaml is generally configured like this:

models:
  - name: zsqh-chat
    provider: openai
    model: your-model-id        # use the on-site model list as the reference
    apiBase: https://ai.zhongshangqihang.com/v1
    apiKey: ${{ secrets.ZSQH_API_KEY }}
    roles: [chat, edit, apply]
  - name: zsqh-autocomplete
    provider: openai
    model: your-fast-model-id   # a low-latency tier is optional for autocomplete
    apiBase: https://ai.zhongshangqihang.com/v1
    apiKey: ${{ secrets.ZSQH_API_KEY }}
    roles: [autocomplete]

Configuration fields may change between Continue versions; refer to Continue's official documentation. Model IDs and availability are subject to model pricing. OpenAI-compatible endpoints usually end at /v1, while with the Anthropic protocol you should not append /v1/messages again.

4. Scenario table: how different teams should choose

Scenario	Preferred choice	Reason
Team mixes VS Code and JetBrains	Continue	One configuration covers both IDEs, with selectable models
Everyone on one editor, autocomplete feel matters	Cursor	Autocomplete, chat, and Agent are integrated in the editor
VS Code team that needs approvals and rollback	Cline	Plan/Act, command approvals, and checkpoints are more transparent
Terminal, multiple repositories, scripts, and CI	Claude Code	Terminal Agent, hooks, subagents, and automation
Local models or data that cannot leave the intranet	Continue	Connects to local inference, with auditable configuration
Several tools coexist and billing must be unified	Gateway plus any tool	One key per person, per-project caps, centralized logs

The table is a starting point for decisions, not a conclusion. The same team can absolutely use Continue for autocomplete, Claude Code for long tasks, and a gateway as the unified model entry point.

5. Migration checklist: do it in order, not all at once

Take inventory: list extensions, configuration files, rules files, model keys, frequently used shortcuts, and scripts.
Export rules: consolidate Continue's rules, system prompts, and custom commands into a general document, then port them into Cursor Rules, Cline Rules, or CLAUDE.md respectively.
Unify the model entry point: create a project and key on the gateway, confirm the model ID, Base URL, and protocol type, and send one real request to verify first.
Run a small pilot: pick two or three repositories and three to five developers, run for two weeks, and record task completion rate, rework rate, and cost.
Then discuss a full switch: unify the installation method, configuration distribution, permissions, and approval policy, and keep a transition period for the old tool.
Keep a rollback path: retain the old extension and configuration for at least a month, and clean up keys and subscriptions only after confirming stability.
Review: compare the effective cost per task before and after migration, not just the tool subscription price.

6. The three most common migration pitfalls

Getting the Base URL wrong: OpenAI-compatible endpoints usually need /v1, while the Anthropic protocol takes only the root address.
Copying model IDs straight from the old configuration: naming differs between gateways, so use the on-site model list as the reference.
Migrating the tool but not the rules: if rules, ignore files, and acceptance criteria are not moved over, the experience will degrade noticeably.

7. Cost and governance: recalculate after migration

A tool subscription is only part of the cost. After migration, recount model calls, autocomplete frequency, Agent turns, and retries. Cursor's subscription quota, Continue's team plan, Cline's bring-your-own key, and Claude Code's usage basis are different, so list prices cannot be compared directly.

Team governance should at minimum achieve: one key per person, per-project caps, tags by tool, and monthly reconciliation. That way, whichever tool remains in the end, the bill can be explained clearly.

FAQ

Continue and Cline are both open-source extensions; what is the core difference?

Continue places more emphasis on multiple IDEs, integrated autocomplete and chat, and configuration distribution; Cline focuses more on the Agent workflow inside VS Code, with Plan/Act, approvals, and checkpoints as its priorities. Both support bring-your-own models; the choice depends on whether you value breadth of coverage or Agent transparency.

Can Continue still be installed inside Cursor?

Cursor is built on the VS Code ecosystem and can import some extensions, but autocomplete and Agent capabilities may overlap or conflict. Actual availability changes by version; it is best to choose one, or keep only specific Continue features inside Cursor, and refer to official documentation.

Do JetBrains users have to choose Continue?

No. Continue provides a JetBrains extension, and Claude Code also provides a JetBrains plugin; Cursor and Cline mainly target the VS Code ecosystem. The choice should also consider model protocols and team governance requirements.

Can the old API key still be used after migration?

It depends on the protocol and provider. OpenAI-compatible keys and endpoints can usually continue to be used; the Anthropic protocol and the OpenAI protocol differ in paths and request headers and cannot be swapped directly. Verify with one real request before migrating.

How large does a team need to be before a gateway makes sense?

There is no fixed threshold. When there are multiple tools, multiple models, several people sharing keys, or a need for local-currency billing and invoices, the value of a gateway becomes apparent; a single person with a small project can certainly use direct official connections.

Next steps

First create a test key at the ZSQH AI Gateway, run a batch of real tasks with Continue or the target tool, and then choose using the scenario table. The model list and current prices are subject to model pricing.