Continue vs Windsurf
Compare coding AI Tools
Continue is an open-source AI coding platform with VS Code and JetBrains extensions plus a CLI, letting developers build custom code agents, choose model providers, and launch background workflows triggered by events or schedules while keeping control of keys and compute.
Windsurf is an agentic IDE that blends chat, autocomplete, and the Cascade in-editor agent to understand your codebase, propose edits, and reduce context switching for developers working on real repositories across Mac, Windows, and Linux.
Feature Tags Comparison
Key Features
- Open-source extensions: Use VS Code and JetBrains extensions to run Continue agents directly in your editor workflow daily
- Custom AI agents: Build and share reusable agents and blocks with prompts and tools tailored to your stack and repo rules
- Bring your own models: Choose from many model providers and assign roles like chat edit autocomplete embed and rerank per task
- Background automation: Launch background agents and trigger workflows on events or schedules with monitoring and interventions
- Hub Solo plan: Solo hub plan is $0 per developer per month and supports agent sharing plus use of open-source extensions
- Team governance: Team plan adds allow and block lists so admins control which agents and blocks developers can run safely
- Cascade agent: Uses project context to propose edits across files and help you iterate through coding tasks inside the IDE
- Tab autocomplete: Generates code completions from short snippets to larger blocks while aiming to match your style and naming
- Full contextual awareness: Designed to keep suggestions relevant on production codebases by using deeper repository context
- Fast Context mode: Optimizes how context is gathered so the assistant can respond quickly during active development sessions
- Preview workflow: Run and preview changes in a guided flow to validate behavior and reduce surprises before sharing code
- Deploy workflow: Push changes through a built-in deploy path so you can move from edit to runnable result with fewer steps
Use Cases
- Standardize agents: Create shared agents for code reviews migrations or scaffolding so every developer uses the same playbook
- Model flexibility: Swap providers for chat edits and autocomplete without changing the workflow when requirements shift over time
- Security remediation: Trigger agents from Snyk alerts to propose fixes and open pull requests for review in GitHub quickly
- Incident response: Use Sentry issue triggers to generate candidate patches and create PRs while engineers validate behavior
- Slack workflows: Mention the agent in Slack to kick off tasks and receive updates without manual status chasing later on
- Org key management: Use the managed proxy so developers can run agents with shared keys without exposing secrets to users
- Refactor across modules: Ask Cascade to apply a consistent rename or API change and review its file edits before merging
- Feature scaffolding: Generate starter routes data models and tests so you can move from idea to runnable code with fewer steps
- Bug triage help: Point the agent at an error and request a minimal fix plus a brief rationale you can verify in code review
- Codebase onboarding: Use repository aware chat to learn where key logic lives and how the project is structured in minutes
- Prototype and preview: Iterate on UI or service changes then use the preview flow to validate behavior before sharing broadly
- Small deployment loops: Use deploy tooling to push a change and confirm it runs without leaving the editor workflow for checks
Perfect For
software engineers, platform engineers, developer experience teams, AI tooling leads, security teams automating fixes, startups needing model choice, enterprises needing SSO and on-prem controls
software engineers, full stack developers, startup builders, platform engineers, engineering managers evaluating AI IDE rollout, teams needing cross platform Mac Windows Linux tooling
Capabilities
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