software
Windsurf vs GitHub Copilot 2026 Comparison
Windsurf is a lightweight, fast code editor with integrated AI features built-in, while GitHub Copilot is an AI code completion plugin that works across multiple editors. Windsurf prioritizes speed and simplicity, whereas Copilot offers broader IDE compatibility and enterprise features.
Windsurf
AI-native code editor with integrated Cascade AI model and agentic capabilities.
Solo developers, indie makers, and teams wanting a lightweight, fast editor with built-in AI without editor lock-in concerns.
Score71%
VS
GC
GitHub Copilot
IDE extension providing AI-powered code completion and suggestions
Teams already invested in VS Code or JetBrains, enterprises requiring compliance controls, and developers needing language breadth and IDE flexibility.
Score71%
Quick Answer
AI SummaryWindsurf is a lightweight, fast code editor with integrated AI features built-in, while GitHub Copilot is an AI code completion plugin that works across multiple editors. Windsurf prioritizes speed and simplicity, whereas Copilot offers broader IDE compatibility and enterprise features.
Our Verdict
AI-assistedChoose Windsurf if you value a lightweight, distraction-free editing experience with fast AI code completion and prefer a simpler, cheaper tool for individual development. Choose GitHub Copilot if you work within existing JetBrains or VS Code ecosystems, need enterprise features, support for 80+ languages, or require integration across multiple IDEs.
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Windsurf
7.1/10
GitHub Copilot
7.9/10
G
Choose Windsurf if
Solo developers, indie makers, and teams wanting a lightweight, fast editor with built-in AI without editor lock-in concerns.
G
Choose GitHub Copilot if
Best pickTeams already invested in VS Code or JetBrains, enterprises requiring compliance controls, and developers needing language breadth and IDE flexibility.
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Key Differences at a Glance
- Architecture:Standalone AI-native editor vs AI plugin for existing IDEs
- Startup Time:✓ Windsurf wins(~2 seconds vs ~3-5 seconds (depends on host IDE))
- Pricing Model:✓ Windsurf wins(Free tier + $20/month Pro vs $10/month individual + $21/month business)
Key Facts & Figures
136 numeric metrics compared
| Metric | Windsurf | GitHub Copilot | Ratio |
|---|---|---|---|
| Active Users (2026)(millions) | 1M+ | — | — |
| Daily Code Lines Generated(millions) | 70M+ | — | — |
| Fortune 500 Adoption Rate(%) | 59% | — | — |
| Agent Autonomy Level(scale 1-10) | 9 | — | — |
| Control Determinism(scale 1-10) | 6 | — | — |
| Interface Learning Curve(scale 1-10) | 7 (novel) | — | — |
| Pro Plan Price(USD/month) | ~$15/mo | — | — |
| Monthly Subscription Cost(USD) | $15 | $10 (Copilot Pro) | |
| Free Tier Limit(users) | 10 agent tasks | 180 code completions | |
| Compatible Editors/IDEs(platforms) | Windsurf IDE only | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | |
| Response Latency (P50)(milliseconds) | ~800ms average completion | ~1200ms average completion | |
| Max Context Window(tokens) | 8,000 tokens | 128,000 tokens | |
| Supported Languages/Environments(count) | Web-only (HTML, CSS, JavaScript, React) | — | — |
| Base Cost(USD/month (for typical usage)) | API subscription required (Claude API) | $10/month individual, $19/month business | — |
| AI Model Flexibility(model options) | Claude 3.5 Sonnet only | — | — |
| Primary Use Case Complexity(steps) | Multi-step browser workflows (3-10+ steps) | — | — |
| Available Extensions/Plugins(count) | <500 | — | — |
| Default Memory Usage (Idle)(MB) | 400-600 MB | — | — |
| Initial Release Year(year) | 2024 | — | — |
| GitHub Stars (as of 2026)(thousands) | 10,000+ | — | — |
| Supported Languages (Official)(count) | 30+ via built-in support | — | — |
| Active Users(users) | ~0.5 million (estimated) | 27 million | |
| Years Since Launch(years) | <1 year (2024) | 4+ years (2021) | |
| Supported IDEs/Platforms(count) | 1 (Windsurf proprietary IDE only) | 15+ IDEs | |
| Free Trial Duration(days) | 30 days unlimited | 2 days for new accounts | |
| Installation Size(MB) | ~200 MB | ~15 MB extension | |
| Context Window Size(tokens) | 200,000 tokens | 32,000 tokens (Pro tier, estimate) | |
| Pro Plan Monthly Cost(USD per user) | $20/month | $20/month | |
| Supported Development Environments(count) | 1 (Windsurf IDE only) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | |
| Monthly Subscription Cost (Pro Tier)(USD) | $15/month | — | — |
| Maximum Token Context Window(tokens) | 128,000 tokens | — | — |
| Supported AI Models(count) | 3 major models (Codeium, Claude, GPT-4o) | GitHub Copilot (proprietary, Codex-based) | |
| Extension Ecosystem Size(extensions) | 1,200+ (Windsurf ecosystem) | — | — |
| Setup Time (Fresh Installation)(minutes) | 15-25 minutes | — | — |
| Base Install Size(MB) | 180 MB | — | — |
| AI Context Window Size(tokens) | 128,000 tokens | — | — |
| Base License Cost (Annual)(USD) | $120 (Pro tier) | — | — |
| Code Generation Speed (vs baseline)(% faster) | 140% faster (40% improvement) | — | — |
| GitHub Repository Stars(thousands) | 12K stars | — | — |
| Supported Languages(languages) | 200+ (via VS Code compatibility) | 90+ languages | |
| Active User Base(users) | ~75,000 estimated | 5+ million | |
| Maximum Context Window(tokens) | 32,000 tokens | 8,000 | |
| Pro Tier Monthly Cost(USD) | $20 | — | — |
| Supported Programming Languages(count) | 50+ languages | 80+ languages | |
| IDE Integration Options(integrations) | 1 (standalone editor) | — | — |
| Public Launch Year(year) | 2024 | — | — |
| Monthly Subscription Cost (Individual)(USD) | $20 | $10 (limited) or $20 (full) | |
| Startup Time(seconds) | ~2 seconds | ~3-5 seconds | |
| Supported IDEs(count) | 1 (native) | 4+ (VS Code, JetBrains, Neovim, Visual Studio) | |
| Programming Languages Supported(languages) | 40+ | 80+ | |
| Memory Footprint (Idle)(MB) | ~250 MB | ~800 MB (with VS Code) | |
| Free Tier AI Completions per Month(completions) | Unlimited (limited features) | 2 million tokens/month | — |
| Free Trial Period(days) | 30 days | 30 days | |
| Paid plan (per user / month)(USD/mo) | Copilot Pro $10/mo | Copilot Pro $10/mo | |
| Business / team tier(USD/mo) | Business $19/user/mo (Enterprise $39) | Business $19/user/mo (Enterprise $39) | |
| Annual Subscription Cost(USD) | $100 | $100 | |
| Free Chat Messages Per Month(messages) | 50 | 50 | |
| Monthly Cost (Business)(USD) | $19 | $19 | |
| IDE Support Count(IDEs) | 5 major IDEs | 5 major IDEs | |
| Code Suggestion Accuracy (Python/JavaScript)(%) | 92% | 92% | |
| Response Latency(seconds) | 2-4 seconds (inline) | 2-4 seconds (inline) | |
| IDE Integration Points(count) | 7 major IDEs (VS Code, JetBrains, Neovim, etc.) | 7 major IDEs (VS Code, JetBrains, Neovim, etc.) | |
| Average Code Completion Latency(milliseconds) | ~150ms | ~150ms | |
| Supported IDE Count(IDEs) | 6+ major IDEs | 6+ major IDEs | |
| Estimated Paid User Base(users) | ~1,200,000 | ~1,200,000 | |
| Code Completion Accuracy (HumanEval)(%) | ~56-62% | ~56-62% | |
| Native IDE Integrations(count) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | 1 (IDE-native, like autocomplete) | |
| Average Response Time for Code Suggestion(seconds) | 0.5-1 (inline suggestion) | 0.5-1 (inline suggestion) | |
| Code Completion Accuracy Rate(%) | 78% | 78% | |
| Average Suggestion Latency(milliseconds) | 280ms | 280ms | |
| Business Plan Annual Cost (per user)(USD) | $252/year | $252/year | |
| Monthly Cost (Individual)(USD) | $10/month | $10/month | |
| Annual Cost (1-Person Subscription)(USD) | $120 (monthly) or $100 (annual with 17% discount) | $120 (monthly) or $100 (annual with 17% discount) | |
| IDE/Editor Integrations(integrations) | 40+ | 40+ | |
| Lines of Code per Suggestion(lines) | Up to 150 lines | Up to 150 lines | |
| Global Developer Adoption(percent) | 27% of developers | 27% of developers | |
| Average Code Suggestion Time(seconds) | 2-5 seconds per suggestion | 2-5 seconds per suggestion | |
| Available Extensions/Integrations(count) | 5 IDE integrations | 5 IDE integrations | |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | 20-40% faster on routine tasks | |
| AI Model Options(count) | 2 (GPT-4, Claude) | 2 (GPT-4, Claude) | |
| IDE Support | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | |
| User Base Size(millions of developers) | ~13 million developers (GitHub Copilot, 2024) | ~13 million developers (GitHub Copilot, 2024) | |
| Single-Line Completion Accuracy(%) | 92% | 92% | |
| Supported Editors/IDEs(count) | 20+ IDEs | 20+ IDEs | |
| Developer Satisfaction Rate(%) | 91% | 91% | |
| Market Adoption Share(%) | 55% | 55% | |
| Code Completion Latency(milliseconds) | 150-250ms per suggestion | 150-250ms per suggestion | |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | 8,000 tokens (~6,000 words) | |
| IDE Integration Support | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | 72% correct on HumanEval benchmark | |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | 2-5 seconds (in-editor, no switching) | |
| IDE/Editor Support(count) | 15+ IDEs | 15+ IDEs | |
| Annual Cost (Individual Plan)(USD) | $100/year or $120 with GitHub Pro | $100/year or $120 with GitHub Pro | |
| Multi-Line Code Generation Accuracy(percent relevance) | 92% | 92% | |
| Single-Line Code Completion Accuracy(percent relevance) | 88% | 88% | |
| Free Tier Monthly Completion Limit(completions) | 2,000 completions | 2,000 completions | |
| Average Response Latency (Cloud)(milliseconds) | 340ms average | 340ms average | |
| Avg Code Completion Speed(seconds) | 0.75 | 0.75 | |
| Supported IDE Platforms(count) | 5 | 5 | |
| AI Provider Options(count) | 1 | 1 | |
| Training Data Size(repositories) | 250,000,000 | 250,000,000 | |
| Annual Cost(USD) | $100 | $100 | |
| AI Requests per Month (Pro Plan)(requests) | 100 chat prompts | 100 chat prompts | |
| Installation Time(minutes) | 2-3 minutes | 2-3 minutes | |
| Cost (Monthly)(USD) | $10 (Pro) or $0 (Limited) | $10 (Pro) or $0 (Limited) | |
| Developer Adoption(percent) | 37% | 37% | |
| Code Suggestion Accuracy(percent) | 57% | 57% | |
| Setup Time (First Use)(minutes) | 0.5 minutes | 0.5 minutes | |
| Coding Speed Improvement(percent) | 35-55% | 35-55% | |
| Response Time (Average)(ms) | 50-100ms per suggestion | 50-100ms per suggestion | |
| Monthly Cost (Single User)(USD) | Fixed $10 (Copilot Individual) or $19 (Copilot Pro) | Fixed $10 (Copilot Individual) or $19 (Copilot Pro) | |
| File Scope (Max Suggested Edit)(files) | Single file at a time | Single file at a time | |
| Context Window (Max Tokens)(tokens) | ~8,000 (estimated Copilot context) | ~8,000 (estimated Copilot context) | |
| Monthly Cost (Individual Plan)(USD) | $20/month | $20/month | |
| Monthly Cost (Individual Pro Tier)(USD) | $10/month | $10/month | |
| Supported Code Completion Speed(latency (ms)) | ~300-500ms | ~300-500ms | |
| Number of Supported IDEs/Editors(editors) | 6+ (VS Code, JetBrains, Vim, Visual Studio, etc.) | 6+ (VS Code, JetBrains, Vim, Visual Studio, etc.) | |
| Monthly Individual Cost(USD) | $10/month | $10/month | |
| Annual Individual Cost(USD) | $100/year | $100/year | |
| Available AI Models(models) | 1 proprietary (GitHub Copilot model, Claude 3.5 option) | 1 proprietary (GitHub Copilot model, Claude 3.5 option) | |
| Product Maturity (Years Active)(years) | 4+ years | 4+ years | |
| Estimated Active User Base(users (thousands)) | ~3,000K (2025) | ~3,000K (2025) | |
| Learning Curve (days to productivity)(days) | 0-1 days (plugin in existing IDE) | 0-1 days (plugin in existing IDE) | |
| Monthly Cost (Base Plan)(USD) | $10 | $10 | |
| Code Completion Accuracy(%) | 85% | 85% | |
| Average Response Latency(seconds) | 2.1 | 2.1 | |
| Free Tier Monthly Completions(count) | 60 | 60 | |
| Chat Feature Cost(USD/month) | $20 | $20 | |
| Annual Cost per Developer(USD) | $100-120 | $100-120 | |
| Code Completion Acceptance Rate(%) | 87-92% | 87-92% | |
| Supported LLM Backends(count) | 2 proprietary models | 2 proprietary models | |
| GitHub Stars (Community Adoption)(count) | 87,000 stars | 87,000 stars | |
| Project Launch Year(year) | 2021 | 2021 | |
| Supported IDE Integrations(IDEs) | 15+ IDEs (VS Code, PyCharm, Visual Studio, Sublime, Vim, Neovim, etc.) | 15+ IDEs (VS Code, PyCharm, Visual Studio, Sublime, Vim, Neovim, etc.) | |
| Max File Size for Editing(lines of code) | 50-200 lines (typical suggestion scope) | 50-200 lines (typical suggestion scope) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
GitHub Copilot leads2 ties
GC
3GitHub CopilotWindsurf
Attribute
GitHub Copilot
- Standalone AI-native editorArchitectureAI plugin for existing IDEs
- ~2 seconds(winner)Startup Time~3-5 seconds (depends on host IDE)
- Free tier + $20/month Pro(winner)Pricing Model$10/month individual + $21/month business
- Native editor onlyIDE SupportVS Code, JetBrains, Neovim, Visual Studio(winner)
- Custom-tuned model (Cascade)AI ModelGPT-4o and o1-preview
- 40+ languagesLanguage Support80+ languages(winner)
- Limited team collaborationEnterprise FeaturesFull enterprise SSO, audit logs, usage controls(winner)
- Architecture
Windsurf
Standalone AI-native editor
GitHub Copilot
AI plugin for existing IDEs
- Startup Time
Windsurf
~2 seconds(winner)
GitHub Copilot
~3-5 seconds (depends on host IDE)
- Pricing Model
Windsurf
Free tier + $20/month Pro(winner)
GitHub Copilot
$10/month individual + $21/month business
- IDE Support
Windsurf
Native editor only
GitHub Copilot
VS Code, JetBrains, Neovim, Visual Studio(winner)
- AI Model
Windsurf
Custom-tuned model (Cascade)
GitHub Copilot
GPT-4o and o1-preview
- Language Support
Windsurf
40+ languages
GitHub Copilot
80+ languages(winner)
- Enterprise Features
Windsurf
Limited team collaboration
GitHub Copilot
Full enterprise SSO, audit logs, usage controls(winner)
Full Comparison
| Attribute | Windsurf | GitHub Copilot |
|---|---|---|
| Active Users (2026)(millions) | 1M+ | — |
| Active Users(users) | ~0.5 million (estimated) | 27 million(winner) |
| Estimated Paid User Base(users) | ~1,200,000 | — |
| User Base Size(millions of developers) | ~13 million developers (GitHub Copilot, 2024) | — |
| Estimated Active User Base(users (thousands)) | ~3,000K (2025) | — |
| Daily Code Lines Generated(millions) | 70M+ | — |
| Response Latency (P50)(milliseconds) | ~800ms average completion(winner) | ~1200ms average completion |
| Default Memory Usage (Idle)(MB) | 400-600 MB | — |
| Base Install Size(MB) | 180 MB | — |
| Startup Time(seconds) | ~2 seconds(winner) | ~3-5 seconds |
Show 22 more attributesMemory Footprint (Idle)(MB) ~250 MB ~800 MB (with VS Code) Large-repo codebase indexing Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing — Inline autocomplete latency Very fast, low-latency completions; category pioneer and still excellent inline — Code Suggestion Accuracy (Python/JavaScript)(%) 92% — Response Latency(seconds) 2-4 seconds (inline) — Average Code Completion Latency(milliseconds) ~150ms — Code Completion Accuracy (HumanEval)(%) ~56-62% — Average Response Time for Code Suggestion(seconds) 0.5-1 (inline suggestion) — Code Completion Accuracy Rate(%) 78% — Average Suggestion Latency(milliseconds) 280ms — Average Code Suggestion Time(seconds) 2-5 seconds per suggestion — Single-Line Completion Accuracy(%) 92% — Code Completion Latency(milliseconds) 150-250ms per suggestion — Multi-Line Code Generation Accuracy(percent relevance) 92% — Single-Line Code Completion Accuracy(percent relevance) 88% — Average Response Latency (Cloud)(milliseconds) 340ms average — Avg Code Completion Speed(seconds) 0.75 — Response Time (Average)(ms) 50-100ms per suggestion — Supported Code Completion Speed(latency (ms)) ~300-500ms — Code Completion Accuracy(%) 85% — Average Response Latency(seconds) 2.1 — Code Completion Acceptance Rate(%) 87-92% — | ||
| Fortune 500 Adoption Rate(%) | 59% | — |
| Enterprise / self-hosting | Enterprise tier with SSO + self-hosting heritage | — |
| Enterprise SLA Support(boolean) | Yes (GitHub Enterprise available) | — |
| Enterprise On-Premise Support(availability) | Yes (Enterprise Server) | — |
| Security Certifications(count) | FedRAMP High, DoD IL5, ITA | — |
| Enterprise SSO & Audit Logging(boolean) | No | Yes |
| Enterprise governance & IP indemnity | Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification | — |
| Privacy: Code Stored on Vendor Servers(boolean) | Yes (OpenAI servers) | — |
| Enterprise Security Certifications(count) | SOC 2 Type II, ISO 27001 | — |
Show 1 more attributeData Privacy (Local Execution)(text) Cloud-only, data sent to servers — | ||
| Base Technology | Native IDE | — |
| Standalone IDE Capability | Full standalone IDE included | Plugin only (requires VS Code/JetBrains) |
| Base on VS Code(boolean) | No (standalone) | — |
| IDE model | Plugin/extension installed into your existing IDE | — |
| Agent Autonomy Level(scale 1-10) | 9 | — |
| Control Determinism(scale 1-10) | 6 | — |
| AI Multi-File Context(null) | Automatic across entire codebase | — |
| Agentic/Autonomous Edit Capabilities(feature parity) | Basic (autocomplete only, no agents) | — |
| Interface Learning Curve(scale 1-10) | 7 (novel) | — |
| Pro Plan Price(USD/month) | ~$15/mo | — |
| Free tier | Yes — generous free tier with limited premium credits | Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers |
| Monthly Subscription Cost(USD) | $15 | $10 (Copilot Pro)(winner) |
| Free Tier Limit(users) | 10 agent tasks | 180 code completions(winner) |
| Base Cost(USD/month (for typical usage)) | API subscription required (Claude API) | $10/month individual, $19/month business |
Show 29 more attributesLatest AI Assistant Cost(USD/month) Freemium with credit system — Pro Plan Monthly Cost(USD per user) $20/month $20/month Monthly Subscription Cost (Pro Tier)(USD) $15/month — Base License Cost (Annual)(USD) $120 (Pro tier) — Pro Tier Monthly Cost(USD) $20 — Free Tier Monthly Requests(requests) Unlimited (with limits) — Monthly Subscription Cost (Individual)(USD) $20 $10 (limited) or $20 (full) Paid plan (per user / month)(USD/mo) Copilot Pro $10/mo — Business / team tier(USD/mo) Business $19/user/mo (Enterprise $39) — Annual Subscription Cost(USD) $100 — Free Tier Premium Requests Per Day(requests) Unlimited completions — Free Chat Messages Per Month(messages) 50 — Monthly Cost (Business)(USD) $19 — Business Plan Annual Cost (per user)(USD) $252/year — Monthly Cost (Individual)(USD) $10/month — Annual Cost (1-Person Subscription)(USD) $120 (monthly) or $100 (annual with 17% discount) — Monthly Cost(USD) $10 — Annual Cost (Individual Plan)(USD) $100/year or $120 with GitHub Pro — Annual Cost(USD) $100 — Cost (Monthly)(USD) $10 (Pro) or $0 (Limited) — Monthly Cost (Single User)(USD) Fixed $10 (Copilot Individual) or $19 (Copilot Pro) — Monthly Cost (Individual Plan)(USD) $20/month — Monthly Cost (Individual Pro Tier)(USD) $10/month — Monthly Individual Cost(USD) $10/month — Annual Individual Cost(USD) $100/year — Monthly Cost (Base Plan)(USD) $10 — Free Tier Monthly Completions(count) 60 — Chat Feature Cost(USD/month) $20 — Annual Cost per Developer(USD) $100-120 — | ||
| Agent name | Cascade | — |
| Autocomplete engine | Supercomplete (Codeium-tuned) | — |
| Editor base | VS Code fork | — |
| Community size / momentum | Growing since the Windsurf rebrand | — |
| Codebase Indexing(boolean) | Riptide retrieval indexing | No, single-file awareness |
| Max Context Window(tokens) | 8,000 tokens | 128,000 tokens(winner) |
| Context Window Size(tokens) | 200,000 tokens(winner) | 32,000 tokens (Pro tier, estimate) |
| Codebase Context Awareness(rating) | Good | — |
| Inline Edit/Refactor(capability) | Good | — |
Show 4 more attributesModel Flexibility(options) 3+ model choices — Default AI Model Quality (Reasoning) Copilot (GPT-based, Good) — Multi-File Project Understanding Limited to current + adjacent files — Available AI Models(models) 1 proprietary (GitHub Copilot model, Claude 3.5 option) — | ||
| Frontier models available | Claude, GPT, Gemini families + Codeium models | — |
| Selectable AI models | Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent) | — |
| Platform Support(platforms) | macOS, Windows, Linux + JetBrains plugin | — |
| Supported Development Environments(count) | 1 (Windsurf IDE only) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.)(winner) |
| Supported IDEs(count) | 1 (native) | 4+ (VS Code, JetBrains, Neovim, Visual Studio)(winner) |
| IDE Support Count(IDEs) | 5 major IDEs | — |
| Supported IDE Count(IDEs) | 6+ major IDEs | — |
Show 4 more attributesSupported IDEs/Editors(count) 4+ (VS Code, JetBrains, Visual Studio, Neovim) — Supported Editors/IDEs(count) 20+ IDEs — Supported IDE Platforms(count) 5 — Number of Supported IDEs/Editors(editors) 6+ (VS Code, JetBrains, Vim, Visual Studio, etc.) — | ||
| Compatible Editors/IDEs(platforms) | Windsurf IDE only | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)(winner) |
| Supported IDEs/Platforms(count) | 1 (Windsurf proprietary IDE only) | 15+ IDEs(winner) |
| Compatible Editors | VS Code, JetBrains, Neovim, Visual Studio, Sublime | — |
| IDE Integration Points(count) | 7 major IDEs (VS Code, JetBrains, Neovim, etc.) | — |
| Native GitHub Integration | Deep (PR, commits, issues) | — |
Show 6 more attributesNative IDE Integrations(count) 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) — IDE Support 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) — IDE Integration Support 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) — IDE/Editor Support(count) 15+ IDEs — AWS Service Integration Limited (generic suggestions) — Supported IDE Integrations(IDEs) 15+ IDEs (VS Code, PyCharm, Visual Studio, Sublime, Vim, Neovim, etc.) — | ||
| Agentic Task Execution | Full multi-step autonomous execution with state tracking | Suggestion-based only, no autonomous execution |
| Primary AI Model(model) | Claude 3.5 Sonnet (Anthropic) | GPT-4o / o1 (OpenAI via Microsoft) |
| Maximum Token Context Window(tokens) | 128,000 tokens | — |
| Agentic Workflow Capability(boolean) | Yes (Flows) | — |
| AI Context Window Size(tokens) | 128,000 tokens | — |
| AI Model Provider | Codeium (proprietary) | OpenAI GPT-4 / Anthropic Claude |
| Supported Languages/Environments(count) | Web-only (HTML, CSS, JavaScript, React) | — |
| Primary Use Case Complexity(steps) | Multi-step browser workflows (3-10+ steps) | — |
| Code File Support(file types) | Web files only (.html, .js, .css) | — |
| Maximum Context Window(tokens) | 32,000 tokens(winner) | 8,000 |
| Maximum Codebase Context Window(files) | ~5-10 visible files in editor | — |
Show 4 more attributesMulti-File Autonomous Editing(capability) No—suggestions only, manual edit required — Context Window(tokens) 8,000 tokens (~6,000 words) — File Scope (Max Suggested Edit)(files) Single file at a time — Max File Size for Editing(lines of code) 50-200 lines (typical suggestion scope) — | ||
| AI Model Flexibility(model options) | Claude 3.5 Sonnet only | — |
| Multi-file Project Editing | Native multi-file support | Limited to referenced files |
| Free Tier Available | Yes, with rate limits | Yes (GitHub Copilot Free) |
| Supported AI Models(count) | 3 major models (Codeium, Claude, GPT-4o)(winner) | GitHub Copilot (proprietary, Codex-based) |
| Supported Programming Languages(count) | 50+ languages | 80+ languages(winner) |
Show 12 more attributesProgramming Languages Supported(languages) 40+ 80+ Agentic Task Automation(boolean) Yes (Cascade Agent) No (chat-based only) Free Tier AI Completions per Month(completions) Unlimited (limited features) 2 million tokens/month Agent / multi-file editing Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor — Offline Capability(text) No (cloud-only) — IDE/Editor Integrations(integrations) 40+ — Lines of Code per Suggestion(lines) Up to 150 lines — Available Extensions/Integrations(count) 5 IDE integrations — Git Integration(null) None: requires manual git commands outside Copilot — Chat & Code Explanation Feature Available in all tiers — Multi-file Context Editing Limited (single file) — Supported LLM Backends(count) 2 proprietary models — | ||
| Availability Status(null) | Early access/Beta (2024-2025) | — |
| Free Tier Availability | None (14-day trial only) | — |
| Open-Source | Closed/Proprietary | — |
| Monthly Active Users(millions) | 0.35 million | — |
| Available Extensions/Plugins(count) | <500 | — |
| IDE Integration Options(integrations) | 1 (standalone editor) | — |
| Available Extensions(count (approx.)) | Integration with VS Code | — |
| Initial Release Year(year) | 2024 | — |
| GitHub Stars (as of 2026)(thousands) | 10,000+ | — |
| Supported Languages (Official)(count) | 30+ via built-in support | — |
| Years Since Launch(years) | <1 year (2024) | 4+ years (2021) |
| Market Adoption Share(%) | 55% | — |
| Free Trial Duration(days) | 30 days unlimited(winner) | 2 days for new accounts |
| Free Trial Period(days) | 30 days | — |
| Installation Size(MB) | ~200 MB | ~15 MB extension(winner) |
| Native Multi-user Collaboration(boolean) | Yes (built-in) | — |
| Extension Ecosystem Size(extensions) | 1,200+ (Windsurf ecosystem) | — |
| Setup Time (Fresh Installation)(minutes) | 15-25 minutes | — |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — |
| Setup Complexity | 2–5 min (GitHub sign-in) | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — |
| Extension/Plugin Count(count) | Inherits all VS Code extensions | — |
| Code Generation Speed (vs baseline)(% faster) | 140% faster (40% improvement) | — |
| GitHub Repository Stars(thousands) | 12K stars | — |
| Supported Languages(languages) | 200+ (via VS Code compatibility)(winner) | 90+ languages |
| Active User Base(users) | ~75,000 estimated(winner) | 5+ million |
| Global Developer Adoption(percent) | 27% of developers | — |
| Public Launch Year(year) | 2024 | — |
| Multi-file Context Support(files) | Limited (single-file focus) | — |
| Setup Time(minutes) | 2 minutes (extension marketplace install) | — |
| Enterprise SSO Support | Yes | — |
| Community Size(members) | Very Large | — |
| GitHub Stars (Community Adoption)(count) | 87,000 stars | — |
| Learning Curve(difficulty rating) | Minimal (extension) | — |
| Learning Curve (days to productivity)(days) | 0-1 days (plugin in existing IDE) | — |
| On-Premise Deployment | Not available | — |
| Self-Hosted Option(Yes/No) | Not available | — |
| Self-Hosted Enterprise Option | Not available | — |
| Training Data Recency | October 2023 (~27 months old) | — |
| Training Data Cutoff(month/year) | April 2024 | — |
| GitHub Integration Depth(null) | Native PR reviews, CLI, GitHub.dev, Copilot X | — |
| Local/On-Device Processing Option | Data exclusion available (enterprise only) | — |
| Local Execution Support(boolean) | No (cloud-only) | — |
| Data Privacy (Cloud Processing)(boolean) | Mandatory (cloud-based) | — |
| Code Retention for Training | Code may be retained (opt-out available) | — |
| Data Processing Location | Cloud (GitHub servers) | — |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | — |
| Coding Speed Improvement(percent) | 35-55% | — |
| AI Model Options(count) | 2 (GPT-4, Claude) | — |
| Developer Satisfaction Rate(%) | 91% | — |
| Knowledge Cutoff Date(text) | April 2022 | — |
| Training Data Cutoff Date(month-year) | April 2024 | — |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | — |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | — |
| GitHub Integration(capability level) | Read repository context only | — |
| Built-in Security Scanning | Limited (logs code references) | — |
| Local Processing Capability | Cloud-only | — |
| Free Tier Monthly Completion Limit(completions) | 2,000 completions | — |
| AI Provider Options(count) | 1 | — |
| Model Customization | No: GitHub Copilot model is fixed and proprietary | — |
| Training Data Size(repositories) | 250,000,000 | — |
| AI Requests per Month (Pro Plan)(requests) | 100 chat prompts | — |
| Installation Time(minutes) | 2-3 minutes | — |
| Developer Adoption(percent) | 37% | — |
| Code Suggestion Accuracy(percent) | 57% | — |
| Context Window (Max Tokens)(tokens) | ~8,000 (estimated Copilot context) | — |
| Self-Hosted Deployment | Not available | — |
| Product Maturity (Years Active)(years) | 4+ years | — |
| Project Launch Year(year) | 2021 | — |
WindsurfGGitHub Copilot
Active Users (2026)(millions)
1M+
—
Active Users(users)
~0.5 million (estimated)
27 million
Estimated Paid User Base(users)
~1,200,000
—
User Base Size(millions of developers)
~13 million developers (GitHub Copilot, 2024)
—
Estimated Active User Base(users (thousands))
~3,000K (2025)
—
Daily Code Lines Generated(millions)
70M+
—
Response Latency (P50)(milliseconds)
~800ms average completion
~1200ms average completion
Default Memory Usage (Idle)(MB)
400-600 MB
—
Base Install Size(MB)
180 MB
—
Startup Time(seconds)
~2 seconds
~3-5 seconds
Show 22 more attributes
Memory Footprint (Idle)(MB)
~250 MB
~800 MB (with VS Code)
Large-repo codebase indexing
Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing
—
Inline autocomplete latency
Very fast, low-latency completions; category pioneer and still excellent inline
—
Code Suggestion Accuracy (Python/JavaScript)(%)
92%
—
Response Latency(seconds)
2-4 seconds (inline)
—
Average Code Completion Latency(milliseconds)
~150ms
—
Code Completion Accuracy (HumanEval)(%)
~56-62%
—
Average Response Time for Code Suggestion(seconds)
0.5-1 (inline suggestion)
—
Code Completion Accuracy Rate(%)
78%
—
Average Suggestion Latency(milliseconds)
280ms
—
Average Code Suggestion Time(seconds)
2-5 seconds per suggestion
—
Single-Line Completion Accuracy(%)
92%
—
Code Completion Latency(milliseconds)
150-250ms per suggestion
—
Multi-Line Code Generation Accuracy(percent relevance)
92%
—
Single-Line Code Completion Accuracy(percent relevance)
88%
—
Average Response Latency (Cloud)(milliseconds)
340ms average
—
Avg Code Completion Speed(seconds)
0.75
—
Response Time (Average)(ms)
50-100ms per suggestion
—
Supported Code Completion Speed(latency (ms))
~300-500ms
—
Code Completion Accuracy(%)
85%
—
Average Response Latency(seconds)
2.1
—
Code Completion Acceptance Rate(%)
87-92%
—
Fortune 500 Adoption Rate(%)
59%
—
Enterprise / self-hosting
Enterprise tier with SSO + self-hosting heritage
—
Enterprise SLA Support(boolean)
Yes (GitHub Enterprise available)
—
Enterprise On-Premise Support(availability)
Yes (Enterprise Server)
—
Security Certifications(count)
FedRAMP High, DoD IL5, ITA
—
Enterprise SSO & Audit Logging(boolean)
No
Yes
Enterprise governance & IP indemnity
Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification
—
Privacy: Code Stored on Vendor Servers(boolean)
Yes (OpenAI servers)
—
Enterprise Security Certifications(count)
SOC 2 Type II, ISO 27001
—
Show 1 more attribute
Data Privacy (Local Execution)(text)
Cloud-only, data sent to servers
—
Base Technology
Native IDE
—
Standalone IDE Capability
Full standalone IDE included
Plugin only (requires VS Code/JetBrains)
Base on VS Code(boolean)
No (standalone)
—
IDE model
Plugin/extension installed into your existing IDE
—
Agent Autonomy Level(scale 1-10)
9
—
Control Determinism(scale 1-10)
6
—
AI Multi-File Context(null)
Automatic across entire codebase
—
Agentic/Autonomous Edit Capabilities(feature parity)
Basic (autocomplete only, no agents)
—
Interface Learning Curve(scale 1-10)
7 (novel)
—
Pro Plan Price(USD/month)
~$15/mo
—
Free tier
Yes — generous free tier with limited premium credits
Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers
Monthly Subscription Cost(USD)
$15
$10 (Copilot Pro)
Free Tier Limit(users)
10 agent tasks
180 code completions
Base Cost(USD/month (for typical usage))
API subscription required (Claude API)
$10/month individual, $19/month business
Show 29 more attributes
Latest AI Assistant Cost(USD/month)
Freemium with credit system
—
Pro Plan Monthly Cost(USD per user)
$20/month
$20/month
Monthly Subscription Cost (Pro Tier)(USD)
$15/month
—
Base License Cost (Annual)(USD)
$120 (Pro tier)
—
Pro Tier Monthly Cost(USD)
$20
—
Free Tier Monthly Requests(requests)
Unlimited (with limits)
—
Monthly Subscription Cost (Individual)(USD)
$20
$10 (limited) or $20 (full)
Paid plan (per user / month)(USD/mo)
Copilot Pro $10/mo
—
Business / team tier(USD/mo)
Business $19/user/mo (Enterprise $39)
—
Annual Subscription Cost(USD)
$100
—
Free Tier Premium Requests Per Day(requests)
Unlimited completions
—
Free Chat Messages Per Month(messages)
50
—
Monthly Cost (Business)(USD)
$19
—
Business Plan Annual Cost (per user)(USD)
$252/year
—
Monthly Cost (Individual)(USD)
$10/month
—
Annual Cost (1-Person Subscription)(USD)
$120 (monthly) or $100 (annual with 17% discount)
—
Monthly Cost(USD)
$10
—
Annual Cost (Individual Plan)(USD)
$100/year or $120 with GitHub Pro
—
Annual Cost(USD)
$100
—
Cost (Monthly)(USD)
$10 (Pro) or $0 (Limited)
—
Monthly Cost (Single User)(USD)
Fixed $10 (Copilot Individual) or $19 (Copilot Pro)
—
Monthly Cost (Individual Plan)(USD)
$20/month
—
Monthly Cost (Individual Pro Tier)(USD)
$10/month
—
Monthly Individual Cost(USD)
$10/month
—
Annual Individual Cost(USD)
$100/year
—
Monthly Cost (Base Plan)(USD)
$10
—
Free Tier Monthly Completions(count)
60
—
Chat Feature Cost(USD/month)
$20
—
Annual Cost per Developer(USD)
$100-120
—
Agent name
Cascade
—
Autocomplete engine
Supercomplete (Codeium-tuned)
—
Editor base
VS Code fork
—
Community size / momentum
Growing since the Windsurf rebrand
—
Codebase Indexing(boolean)
Riptide retrieval indexing
No, single-file awareness
Max Context Window(tokens)
8,000 tokens
128,000 tokens
Context Window Size(tokens)
200,000 tokens
32,000 tokens (Pro tier, estimate)
Codebase Context Awareness(rating)
Good
—
Inline Edit/Refactor(capability)
Good
—
Show 4 more attributes
Model Flexibility(options)
3+ model choices
—
Default AI Model Quality (Reasoning)
Copilot (GPT-based, Good)
—
Multi-File Project Understanding
Limited to current + adjacent files
—
Available AI Models(models)
1 proprietary (GitHub Copilot model, Claude 3.5 option)
—
Frontier models available
Claude, GPT, Gemini families + Codeium models
—
Selectable AI models
Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent)
—
Platform Support(platforms)
macOS, Windows, Linux + JetBrains plugin
—
Supported Development Environments(count)
1 (Windsurf IDE only)
10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.)
Supported IDEs(count)
1 (native)
4+ (VS Code, JetBrains, Neovim, Visual Studio)
IDE Support Count(IDEs)
5 major IDEs
—
Supported IDE Count(IDEs)
6+ major IDEs
—
Show 4 more attributes
Supported IDEs/Editors(count)
4+ (VS Code, JetBrains, Visual Studio, Neovim)
—
Supported Editors/IDEs(count)
20+ IDEs
—
Supported IDE Platforms(count)
5
—
Number of Supported IDEs/Editors(editors)
6+ (VS Code, JetBrains, Vim, Visual Studio, etc.)
—
Compatible Editors/IDEs(platforms)
Windsurf IDE only
15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)
Supported IDEs/Platforms(count)
1 (Windsurf proprietary IDE only)
15+ IDEs
Compatible Editors
VS Code, JetBrains, Neovim, Visual Studio, Sublime
—
IDE Integration Points(count)
7 major IDEs (VS Code, JetBrains, Neovim, etc.)
—
Native GitHub Integration
Deep (PR, commits, issues)
—
Show 6 more attributes
Native IDE Integrations(count)
5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim)
—
IDE Support
4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta)
—
IDE Integration Support
8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)
—
IDE/Editor Support(count)
15+ IDEs
—
AWS Service Integration
Limited (generic suggestions)
—
Supported IDE Integrations(IDEs)
15+ IDEs (VS Code, PyCharm, Visual Studio, Sublime, Vim, Neovim, etc.)
—
Agentic Task Execution
Full multi-step autonomous execution with state tracking
Suggestion-based only, no autonomous execution
Primary AI Model(model)
Claude 3.5 Sonnet (Anthropic)
GPT-4o / o1 (OpenAI via Microsoft)
Maximum Token Context Window(tokens)
128,000 tokens
—
Agentic Workflow Capability(boolean)
Yes (Flows)
—
AI Context Window Size(tokens)
128,000 tokens
—
AI Model Provider
Codeium (proprietary)
OpenAI GPT-4 / Anthropic Claude
Supported Languages/Environments(count)
Web-only (HTML, CSS, JavaScript, React)
—
Primary Use Case Complexity(steps)
Multi-step browser workflows (3-10+ steps)
—
Code File Support(file types)
Web files only (.html, .js, .css)
—
Maximum Context Window(tokens)
32,000 tokens
8,000
Maximum Codebase Context Window(files)
~5-10 visible files in editor
—
Show 4 more attributes
Multi-File Autonomous Editing(capability)
No—suggestions only, manual edit required
—
Context Window(tokens)
8,000 tokens (~6,000 words)
—
File Scope (Max Suggested Edit)(files)
Single file at a time
—
Max File Size for Editing(lines of code)
50-200 lines (typical suggestion scope)
—
AI Model Flexibility(model options)
Claude 3.5 Sonnet only
—
Multi-file Project Editing
Native multi-file support
Limited to referenced files
Free Tier Available
Yes, with rate limits
Yes (GitHub Copilot Free)
Supported AI Models(count)
3 major models (Codeium, Claude, GPT-4o)
GitHub Copilot (proprietary, Codex-based)
Supported Programming Languages(count)
50+ languages
80+ languages
Show 12 more attributes
Programming Languages Supported(languages)
40+
80+
Agentic Task Automation(boolean)
Yes (Cascade Agent)
No (chat-based only)
Free Tier AI Completions per Month(completions)
Unlimited (limited features)
2 million tokens/month
Agent / multi-file editing
Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor
—
Offline Capability(text)
No (cloud-only)
—
IDE/Editor Integrations(integrations)
40+
—
Lines of Code per Suggestion(lines)
Up to 150 lines
—
Available Extensions/Integrations(count)
5 IDE integrations
—
Git Integration(null)
None: requires manual git commands outside Copilot
—
Chat & Code Explanation Feature
Available in all tiers
—
Multi-file Context Editing
Limited (single file)
—
Supported LLM Backends(count)
2 proprietary models
—
Availability Status(null)
Early access/Beta (2024-2025)
—
Free Tier Availability
None (14-day trial only)
—
Open-Source
Closed/Proprietary
—
Monthly Active Users(millions)
0.35 million
—
Available Extensions/Plugins(count)
<500
—
IDE Integration Options(integrations)
1 (standalone editor)
—
Available Extensions(count (approx.))
Integration with VS Code
—
Initial Release Year(year)
2024
—
GitHub Stars (as of 2026)(thousands)
10,000+
—
Supported Languages (Official)(count)
30+ via built-in support
—
Years Since Launch(years)
<1 year (2024)
4+ years (2021)
Market Adoption Share(%)
55%
—
Free Trial Duration(days)
30 days unlimited
2 days for new accounts
Free Trial Period(days)
30 days
—
Installation Size(MB)
~200 MB
~15 MB extension
Native Multi-user Collaboration(boolean)
Yes (built-in)
—
Extension Ecosystem Size(extensions)
1,200+ (Windsurf ecosystem)
—
Setup Time (Fresh Installation)(minutes)
15-25 minutes
—
Learning Curve (1=easy, 5=hard)(score)
1 (IDE-native, like autocomplete)
—
Setup Complexity
2–5 min (GitHub sign-in)
—
Setup Time (First Use)(minutes)
0.5 minutes
—
Extension/Plugin Count(count)
Inherits all VS Code extensions
—
Code Generation Speed (vs baseline)(% faster)
140% faster (40% improvement)
—
GitHub Repository Stars(thousands)
12K stars
—
Supported Languages(languages)
200+ (via VS Code compatibility)
90+ languages
Active User Base(users)
~75,000 estimated
5+ million
Global Developer Adoption(percent)
27% of developers
—
Public Launch Year(year)
2024
—
Multi-file Context Support(files)
Limited (single-file focus)
—
Setup Time(minutes)
2 minutes (extension marketplace install)
—
Enterprise SSO Support
Yes
—
Community Size(members)
Very Large
—
GitHub Stars (Community Adoption)(count)
87,000 stars
—
Learning Curve(difficulty rating)
Minimal (extension)
—
Learning Curve (days to productivity)(days)
0-1 days (plugin in existing IDE)
—
On-Premise Deployment
Not available
—
Self-Hosted Option(Yes/No)
Not available
—
Self-Hosted Enterprise Option
Not available
—
Training Data Recency
October 2023 (~27 months old)
—
Training Data Cutoff(month/year)
April 2024
—
GitHub Integration Depth(null)
Native PR reviews, CLI, GitHub.dev, Copilot X
—
Local/On-Device Processing Option
Data exclusion available (enterprise only)
—
Local Execution Support(boolean)
No (cloud-only)
—
Data Privacy (Cloud Processing)(boolean)
Mandatory (cloud-based)
—
Code Retention for Training
Code may be retained (opt-out available)
—
Data Processing Location
Cloud (GitHub servers)
—
Development Time Reduction(percent)
20-40% faster on routine tasks
—
Coding Speed Improvement(percent)
35-55%
—
AI Model Options(count)
2 (GPT-4, Claude)
—
Developer Satisfaction Rate(%)
91%
—
Knowledge Cutoff Date(text)
April 2022
—
Training Data Cutoff Date(month-year)
April 2024
—
Code Generation Accuracy (Python)(percent)
72% correct on HumanEval benchmark
—
Context Switching Overhead(seconds per interaction)
2-5 seconds (in-editor, no switching)
—
GitHub Integration(capability level)
Read repository context only
—
Built-in Security Scanning
Limited (logs code references)
—
Local Processing Capability
Cloud-only
—
Free Tier Monthly Completion Limit(completions)
2,000 completions
—
AI Provider Options(count)
1
—
Model Customization
No: GitHub Copilot model is fixed and proprietary
—
Training Data Size(repositories)
250,000,000
—
AI Requests per Month (Pro Plan)(requests)
100 chat prompts
—
Installation Time(minutes)
2-3 minutes
—
Developer Adoption(percent)
37%
—
Code Suggestion Accuracy(percent)
57%
—
Context Window (Max Tokens)(tokens)
~8,000 (estimated Copilot context)
—
Self-Hosted Deployment
Not available
—
Product Maturity (Years Active)(years)
4+ years
—
Project Launch Year(year)
2021
—
Pros & Cons
10 pros·4 cons across both
GC
Windsurf
+5-2
Pros
- Native AI integration eliminates plugin overhead and reduces latency
- Extremely fast startup time (~2 seconds) compared to feature-heavy IDEs
- $20/month Pro plan is 50% cheaper than GitHub Copilot Business ($21/month)
- Agentic AI can autonomously perform multi-step tasks and refactor code
- Minimalist UI reduces cognitive load for focused coding sessions
Cons
- No plugin support for VS Code, JetBrains, or other popular IDEs—locked to native editor
- Smaller ecosystem means fewer extensions and customizations compared to VS Code
GC
GitHub Copilot
+5-2
Pros
- Works across 4+ IDE platforms (VS Code, JetBrains, Neovim, Visual Studio) without switching tools
- Powers GPT-4o and o1-preview models, providing cutting-edge reasoning capability
- Enterprise-grade features: SSO, audit logs, usage insights, and security policies
- Supports 80+ programming languages and frameworks natively
- Mature product with 27+ million developers using Copilot as of 2024
Cons
- Requires existing IDE installation, adding 500MB–2GB of disk space and startup overhead
- Business tier at $21/month is 5% more expensive than Windsurf Pro after volume discounts
Frequently Asked Questions
5 questions
No. Windsurf is a standalone editor with its own integrated AI model (Cascade). It does not support plugins, including GitHub Copilot. If you want Copilot, you must use VS Code, JetBrains, Neovim, or Visual Studio.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
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