# Cursor AI visibility in IDEs & Code Editors Canonical: https://devtune.ai/verticals/ides-code-editors/cursor [Website](https://cursor.com/) Updated: 2026-09-28T21:09:23.242128+00:00 Prompts: 25 Runs: 6 ## Platforms - google-ai - perplexity - bing-copilot-search - chatgpt-search - google-ai-mode - xai-search Rank: 2 Total brands: 11 Measured responses: 150 Presence percent: 8 Share of voice percent: 19.51219512195122 Average position: 3.25 Docs presence percent: 2 Blog presence percent: 0.6666666666666667 Brand mention percent: 0 ## Profile Overview: Cursor, developed by Anysphere, Inc., is an AI-native code editor forked from Visual Studio Code and launched in 2023. Founded by four MIT students—Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger—and headquartered in San Francisco, the company positions Cursor as a full AI pair-programmer rather than an autocomplete add-on. Core capabilities include repository-wide semantic codebase indexing, autonomous multi-file agentic editing via Composer, parallel cloud agent execution, a specialized Tab autocomplete model, and integrated PR code review through Bugbot. Cursor supports frontier models from OpenAI, Anthropic, Google, and xAI, alongside its own proprietary Composer 2 model. By late 2025 it surpassed $1 billion ARR and $2 billion ARR by February 2026, serving over 1 million daily active users and more than half of the Fortune 500, while achieving a $29.3 billion valuation in its Series D. Product summary: Cursor is an AI-first integrated development environment (IDE) built by Anysphere as a fork of Visual Studio Code. It embeds AI across the entire software development lifecycle: a specialized Tab model delivers fast, multi-line predictive autocomplete; the Composer/Agent system executes natural-language-described tasks as autonomous, multi-file edits across entire repositories; cloud agents run tasks in parallel on remote machines; Bugbot reviews pull requests automatically on GitHub and GitLab; and a CLI agent brings AI assistance to the terminal. Cursor supports frontier models from OpenAI, Anthropic, Google Gemini, and xAI, as well as its own proprietary Composer 2 model optimized for cost-efficient sub-agent coordination. Enterprise features include SAML/OIDC SSO, SCIM, audit logs, privacy mode (with SOC 2 Type 2 certification), pooled usage, and granular model controls. The editor inherits the VS Code extension ecosystem, making adoption frictionless for the large developer population already on VS Code. ### Key capabilities - AI-native VS Code fork with deep codebase indexing and semantic search across entire repositories - Agentic multi-file editing (Composer/Agent) that plans and executes changes across many files autonomously - Parallel cloud agent execution for simultaneous multi-branch development tasks - Tab autocomplete that predicts multi-line and next-logical-edit completions at low latency - Multi-model support with switchable frontier models from OpenAI, Anthropic, Gemini, xAI, and proprietary Cursor models - Bugbot: AI-powered automated PR code review integrated with GitHub and GitLab - CLI agent for terminal-based AI task execution - Slack integration for agent-driven PR creation and team collaboration - Privacy mode with SOC 2 Type 2 certification ensuring no code stored or used for training - Enterprise admin controls: SAML/OIDC SSO, SCIM, audit logs, pooled usage, granular model and MCP controls ### Target users - Professional software engineers and full-stack developers seeking AI-accelerated productivity - Enterprise engineering teams requiring governed, compliant AI tooling at scale - Early-stage startup developers prototyping and shipping features rapidly - Data scientists and ML engineers working in Python-heavy codebases - Engineering leaders standardizing AI-assisted development workflows across large organizations - Non-traditional developers and technical founders using natural-language-driven 'vibe coding' ### Key use cases - Accelerating feature development through natural-language-driven multi-file agentic coding - Large-scale codebase refactoring and legacy code modernization - Automated PR code review and bug detection via Bugbot - Onboarding engineers to unfamiliar codebases using AI-powered codebase Q&A - Rapid prototyping and iteration on new product features with autonomous agent branches - Debugging and root-cause analysis across complex, multi-file systems - Enterprise-wide standardization of AI-assisted development workflows with governance and compliance controls - Vibe coding and no-experience prototyping by non-traditional developers Integrations ecosystem: Cursor is built as a VS Code fork and inherits compatibility with the broad VS Code extension marketplace (themes, keybindings, language extensions). Native integrations include GitHub and GitLab (for Bugbot PR code review, including GitHub Enterprise Server), Slack (agent-driven PR creation and collaboration), and a CLI agent. The platform supports the Model Context Protocol (MCP) for connecting external tools, skills, and hooks. AI model integrations span OpenAI (GPT series), Anthropic (Claude series), Google Gemini, and xAI (Grok), plus Cursor's own proprietary Composer 2 model. Cursor also supports SAML/OIDC SSO and SCIM for enterprise identity management, and exports usage data via an AI code tracking API for integration with analytics platforms. The Marketplace enables third-party extensions. An Agent Client Protocol (ACP) expansion into JetBrains IDEs (IntelliJ, PyCharm, WebStorm) was announced to extend Cursor's agent layer beyond the VS Code ecosystem. Pricing summary: Cursor offers a freemium individual tier (Hobby, free, limited agent requests and Tab completions; no credit card required) plus paid individual plans: Pro at $20/month (extended agent limits, frontier model access, MCPs, cloud agents), Pro+ at $60/month (3x usage on OpenAI/Claude/Gemini models), and Ultra at $200/month (20x usage, priority feature access). Business plans include Teams at $40/user/month (shared commands, centralized billing, usage analytics, RBAC, SAML/OIDC SSO) and Enterprise at custom pricing (pooled usage, invoice/PO billing, SCIM, audit logs, granular model controls, priority support). Bugbot is sold as a separate add-on at $40/user/month for individuals (up to 200 PRs/month) and $40/user/month for teams (unlimited PRs, analytics, advanced rules); enterprise Bugbot pricing is custom. All plans use usage-based pricing with on-demand overage billed in arrears. Subscriptions are sold directly through cursor.com only. Review summary: Developers broadly praise Cursor for its natural integration of AI into the coding workflow, particularly its project-wide context awareness, the speed and accuracy of Tab autocomplete, and the productivity gains from agentic multi-file editing. Common criticisms include occasional AI hallucinations (suggesting non-existent functions or libraries), performance slowdowns on larger projects or lower-spec machines, high memory usage, and pricing complexity—particularly the June 2025 credit-metering change that surprised users with unexpected charges. Enterprise users highlight the value of model flexibility and codebase understanding at scale, while some note a learning curve in using AI capabilities effectively and limitations with very large or complex Java/enterprise codebases. Competitive positioning: Cursor differentiates by being an AI-native fork of Visual Studio Code rather than a plugin or extension layer. Unlike GitHub Copilot (an extension bolted onto existing editors) or Tabnine (primarily autocomplete), Cursor re-architects the entire editor runtime around AI, enabling repository-wide codebase indexing, autonomous multi-file agentic editing, parallel agent execution, and deep context awareness across large codebases. It supports bring-your-own-model (OpenAI, Anthropic, Gemini, xAI) and has launched proprietary models (Composer 2) to reduce inference cost dependency. Cursor's product-led freemium motion—growing without marketing spend to over half the Fortune 500—distinguishes it from enterprise-first competitors such as JetBrains. Compared to browser-based cloud IDEs like Replit or CodeSandbox, Cursor targets professional developers who want a locally installed, full-featured editor with optional cloud agent workflows rather than a fully managed environment. Limitations: Reviewers note that AI suggestions can hallucinate functions or APIs that do not exist, requiring developers to verify all generated code. Performance degrades on very large projects or lower-specification machines due to heavy memory usage. The product has faced criticism for pricing opacity: a June 2025 switch to a credit-metered system (replacing a flat 500-request cap on the $20 Pro plan) generated surprise overage charges and a public backlash, leading to refunds and a CEO apology. Real-time multiplayer collaboration and shared workspaces for non-technical team members are absent. Cursor is less mature than JetBrains IDEs for deep Java/Spring Boot ecosystem workflows. High inference costs mean the company operates at near-zero or negative gross margins on individual developer subscriptions, though its proprietary Composer 2 model is improving unit economics on enterprise deals. An AI help-desk agent ('Sam') invented a non-existent login policy in April 2025, causing user cancellations. ### Source urls - https://cursor.com/ - https://cursor.com/pricing - https://cursor.com/enterprise - https://en.wikipedia.org/wiki/Anysphere - https://techcrunch.com/2025/06/05/cursors-anysphere-nabs-9-9b-valuation-soars-past-500m-arr/ - https://www.cnbc.com/2025/11/13/cursor-ai-startup-funding-round-valuation.html - https://www.g2.com/products/cursor/reviews - https://www.gartner.com/reviews/market/ai-code-assistants/vendor/anysphere/product/cursor - https://sacra.com/c/cursor/ - https://research.contrary.com/company/cursor - https://www.getpanto.ai/blog/cursor-ai-statistics - https://www.summit-ventures.net/company/anysphere/ - https://cursor.com/customers Reviewed at: 2026-04-28T23:23:11.949+00:00 ### Customer outcomes | Customer | Summary | Metric | | --- | --- | --- | | NVIDIA | NVIDIA CEO Jensen Huang stated that every one of NVIDIA's roughly 40,000 engineers is now assisted by Cursor, with productivity 'gone up incredibly.' The company deploys Cursor across teams building CUDA, driver stacks, and deep learning frameworks. | 100% engineer adoption across ~40,000 engineers | | Coinbase | By February 2025, every Coinbase engineer had utilized Cursor, which became the preferred IDE for most developers. Individual engineers are now refactoring, upgrading, or building new codebases in days instead of months. | 100% engineer utilization; codebase cycles reduced from months to days | | Stripe | Cursor grew from hundreds to thousands of enthusiastic Stripe employees, described by CEO Patrick Collison as having significant economic outcomes given Stripe's investment in R&D and software creation. | Adoption scaled from hundreds to thousands of engineers | | Enterprise customer (unnamed, per Cursor enterprise page) | An unnamed enterprise customer cited in Cursor's enterprise documentation saw adoption grow from 150 to over 500 engineers (approximately 60% of the engineering organization) within a few weeks, with a 25%+ increase in PR volume, over 100% increase in average PR size, and approxi | ~50% more code shipped; 25%+ increase in PR volume; 100%+ increase in average PR size | ### Reviews breakdown | Platform | Score | Score max | Review count | Url | | --- | --- | --- | --- | --- | | G2 | 4.5 | 5 | 46 | https://www.g2.com/products/cursor/reviews | ### Review themes #### Praised - Natural AI integration into coding workflow without breaking focus - Project-wide codebase context awareness across multiple files - Fast and accurate Tab autocomplete that predicts multi-line edits - Cmd+K inline editing for targeted refactors - Flexibility to switch between multiple frontier AI models - Agentic multi-file editing that executes complex tasks autonomously - Significant reduction in context-switching between editor, docs, and search - Frequent product updates and strong responsiveness to developer community #### Criticized - AI hallucinations: suggests non-existent functions or incorrect library versions - Performance slowdowns and lag on larger projects or low-spec machines - High memory usage, especially on older hardware - Pricing complexity and unexpected overage charges after June 2025 credit-metering change - Inconsistent suggestion quality on complex or edge-case code - No real-time collaborative editing or shared workspace for non-technical teammates - Weaker support for Java/Spring Boot and deep JetBrains-style language intelligence - Learning curve to use agentic and AI features effectively ### Company facts Founded year: 2022 Hq: San Francisco, California, USA #### Founders - Michael Truell - Sualeh Asif - Arvid Lunnemark - Aman Sanger Employees range: 150-300 Total funding: ~$3.4B Valuation: $29.3B (Nov 2025 Series D); $50-60B targ Arr: ~$2B (Feb 2026) Customer count: 1M+ DAU; 50K+ businesses; >50% of Fortun Status: Private Readiness: Not available ## Ranking | Display name | Pair count | Total pairs | Presence percent | Avg position | | --- | --- | --- | --- | --- | | GitHub Copilot | 13 | 150 | 8.666666666666668 | 2.2941176470588234 | | Cursor | 12 | 150 | 8 | 3.25 | | JetBrains | 9 | 150 | 6 | 3.090909090909091 | | Replit | 9 | 150 | 6 | 3.857142857142857 | | VS Code | 6 | 150 | 4 | 2.125 | | Gitpod | 4 | 150 | 2.666666666666667 | 4.25 | | Windsurf | 4 | 150 | 2.666666666666667 | 4.25 | | StackBlitz | 4 | 150 | 2.666666666666667 | 4.5 | | Tabnine | 1 | 150 | 0.6666666666666667 | 3 | | CodeSandbox | 1 | 150 | 0.6666666666666667 | 4.666666666666667 | | Zed | 0 | 150 | 0 | Not available | ## Platform breakdown | Platform | Prompt count | Presence rate | | --- | --- | --- | | google-ai | 0 | 0 | | perplexity | 4 | 16 | | bing-copilot-search | 0 | 0 | | chatgpt-search | 8 | 32 | | google-ai-mode | 0 | 0 | | xai-search | 0 | 0 | ## Strengths | Prompt text | Platform count | Avg position | | --- | --- | --- | | What AI-powered editors offer the best debugging assistance — actually diagnosing runtime errors, not just generating code? | 2 | 1 | | Which AI coding assistants handle multi-file refactoring well, not just single-file completions? | 1 | 2 | | What AI coding tools integrate best with internal documentation, wikis, and architecture decision records as context? | 2 | 3.5 | ## Gaps | Prompt text | Competitor presence count | | --- | --- | | Which remote development environments perform best on slow or unreliable internet connections? | 3 | | What cloud IDEs have the best session persistence and work recovery when the underlying compute goes away mid-session? | 2 | | What AI-powered code completion tools have the most evidence behind their productivity impact — any with real study data? | 2 | | Which AI coding assistants let you configure coding conventions and restrict unwanted suggestion patterns for your team? | 2 | | Which browser-based IDEs handle compiled languages like Rust, Go, or C++ best compared to a local setup? | 2 | ## Topic scores | Topic name | Prompt count | Cited prompt count | | --- | --- | --- | | Capability | 5 | 2 | | Developer Experience | 5 | 1 | | Integrations & Ecosystem | 5 | 3 | | Performance & Reliability | 5 | 2 | | Setup & First Run | 5 | 1 | ## Prompt results - Prompt text: What cloud IDEs have the best session persistence and work recovery when the underlying compute goes away mid-session? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 2 | | Gitpod | 5 | | Replit | 6 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Gitpod | 3 | | Replit | 4 | ##### Google-ai-mode ##### Xai-search - Prompt text: What cloud-based development environments are viable for teams building iOS or Android native apps? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: What tools are best for standardizing the development environment across a team of 20 engineers on different machines? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: What AI-powered code completion tools have the most evidence behind their productivity impact — any with real study data? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 1 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | GitHub Copilot | 1 | ##### Google-ai-mode ##### Xai-search - Prompt text: I'm evaluating AI coding assistants for my team — what should a structured pilot look like to get a fair comparison? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 1 | ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants let you configure coding conventions and restrict unwanted suggestion patterns for your team? #### Brand position by platform Google-ai: Not available Perplexity: 4 Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai | Display name | Position | | --- | --- | | JetBrains | 5 | ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 1 | | Cursor | 4 | ##### Bing-copilot-search | Display name | Position | | --- | --- | | JetBrains | 1 | ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: Which browser-based IDEs handle compiled languages like Rust, Go, or C++ best compared to a local setup? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | Gitpod | 3 | | Replit | 4 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | VS Code | 2 | | Replit | 3 | ##### Google-ai-mode ##### Xai-search - Prompt text: What code editors have the strongest extension ecosystems for engineering teams to evaluate when switching tools? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | VS Code | 1 | | JetBrains | 4 | ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants handle code that calls undocumented internal APIs and services most effectively? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: 3 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Cursor | 3 | ##### Google-ai-mode | Display name | Position | | --- | --- | | JetBrains | 1 | ##### Xai-search - Prompt text: What AI coding tools integrate best with internal documentation, wikis, and architecture decision records as context? #### Brand position by platform Google-ai: Not available Perplexity: 6 Bing-copilot-search: Not available Chatgpt-search: 1 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | Cursor | 6 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Cursor | 1 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which cloud development environments have the lowest latency editing experience compared to a local IDE setup? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | VS Code | 1 | ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: What AI code editors handle indexing and search best for very large repositories with millions of lines of code? #### Brand position by platform Google-ai: Not available Perplexity: 4 Bing-copilot-search: Not available Chatgpt-search: 4 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | Cursor | 4 | | Windsurf | 5 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | VS Code | 2 | | GitHub Copilot | 3 | | Cursor | 4 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants handle multi-file refactoring well, not just single-file completions? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: 2 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai | Display name | Position | | --- | --- | | Replit | 2 | ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 4 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Cursor | 2 | | GitHub Copilot | 4 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which browser-based code editors handle first-time setup best for full-stack projects with multiple services running in parallel? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai | Display name | Position | | --- | --- | | StackBlitz | 6 | ##### Perplexity | Display name | Position | | --- | --- | | StackBlitz | 6 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | StackBlitz | 4 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI code completion tools are the most lightweight in terms of laptop battery and memory impact? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Tabnine | 3 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants have the best compatibility with existing language servers and IDE extensions teams already rely on? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: 3 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai | Display name | Position | | --- | --- | | Replit | 5 | | JetBrains | 6 | ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 1 | | Windsurf | 3 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | GitHub Copilot | 1 | | Cursor | 3 | ##### Google-ai-mode ##### Xai-search - Prompt text: What AI-powered editors offer the best debugging assistance — actually diagnosing runtime errors, not just generating code? #### Brand position by platform Google-ai: Not available Perplexity: 1 Bing-copilot-search: Not available Chatgpt-search: 1 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | Cursor | 1 | | Replit | 3 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Cursor | 1 | | JetBrains | 2 | | Replit | 3 | | Windsurf | 4 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants degrade most gracefully when their backend model service has an outage — does the editor still work? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: 3 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | GitHub Copilot | 4 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | GitHub Copilot | 1 | | Cursor | 3 | | Windsurf | 5 | ##### Google-ai-mode ##### Xai-search - Prompt text: What cloud-based IDEs are fastest for onboarding a new developer onto a large existing codebase compared to local setup? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | Gitpod | 6 | ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: Which cloud IDEs handle large TypeScript monorepos well — with solid type checking and IntelliSense at scale? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity | Display name | Position | | --- | --- | | VS Code | 1 | | CodeSandbox | 3 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | StackBlitz | 2 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which cloud IDEs connect to private git repos and internal package registries without complex network configuration? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants are best at avoiding insecure code suggestions in security-sensitive codebases? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | GitHub Copilot | 1 | ##### Google-ai-mode ##### Xai-search - Prompt text: Which remote development environments perform best on slow or unreliable internet connections? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai | Display name | Position | | --- | --- | | JetBrains | 1 | ##### Perplexity | Display name | Position | | --- | --- | | JetBrains | 1 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | VS Code | 1 | | JetBrains | 2 | ##### Google-ai-mode ##### Xai-search - Prompt text: What are the most common complaints developers have about AI code editors after daily use — which tools address them best? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai-mode ##### Xai-search - Prompt text: Which AI coding assistants are best at understanding full codebase context rather than just completing the current file? #### Brand position by platform Google-ai: Not available Perplexity: Not available Bing-copilot-search: Not available Chatgpt-search: 2 Google-ai-mode: Not available Xai-search: Not available #### Platform rows ##### Google-ai | Display name | Position | | --- | --- | | Replit | 1 | ##### Perplexity ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Cursor | 2 | ##### Google-ai-mode ##### Xai-search ## Top sources | Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count | | --- | --- | --- | --- | --- | --- | --- | --- | | https://docs.cursor.com/en/guides/working-with-context | Cursor – Working with Context | docs.cursor.com | Not available | commercial | documentation | 5 | 5 | | https://cursor.com/blog/secure-codebase-indexing | Securely indexing large codebases · Cursor | cursor.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9af39ff3-78f3-4b18-a9f6-84dbee0e9e16/131f2634ed8cabba96e2f70bd3a59396890b8221.png | commercial | blog_post | 5 | 5 | | https://prod.cursor.com/blog/secure-codebase-indexing | Securely indexing large codebases · Cursor | prod.cursor.com | Not available | commercial | blog_post | 3 | 3 | | https://prod.cursor.com/help/ai-features/debug-mode | Debug mode \| Cursor Docs | prod.cursor.com | Not available | commercial | documentation | 3 | 3 | | https://cursor.com/docs/agent/debug-mode | Debug Mode \| Cursor Docs | cursor.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9af39ff3-78f3-4b18-a9f6-84dbee0e9e16/131f2634ed8cabba96e2f70bd3a59396890b8221.png | commercial | documentation | 3 | 3 | | https://docs.cursor.com/en/agent/tools | Cursor – Tools | docs.cursor.com | Not available | commercial | documentation | 2 | 2 | | https://docs.cursor.com/en/guides/advanced/working-with-documentation | Cursor – Working with Documentation | docs.cursor.com | Not available | commercial | documentation | 2 | 2 | | https://prod.cursor.com/help/ai-features/coding-agents | What are coding agents? \| Cursor Docs | prod.cursor.com | Not available | commercial | documentation | 2 | 2 | ## Response excerpts | Prompt text | Platform | Excerpt | | --- | --- | --- | | What code editors have the strongest extension ecosystems for engineering teams to evaluate when switching tools? | bing-copilot-search | Best Code Editors 2026: VS Code, JetBrains, Cursor Compared \| \| JetBrains IDEs (IntelliJ, PyCharm, WebStorm, etc.) \| Rich plugin ecosystem, especially for enterprise workflows; deep language intelligence and refactoring tools \| Professional teams wo... | | Which AI coding assistants let you configure coding conventions and restrict unwanted suggestion patterns for your team? | bing-copilot-search | The most notable ones are JetBrains AI Assistant, Cursor, Claude Code, Windsurf/Codeium, GitHub Copilot, and newer platforms like Cubic. | | Which AI coding assistants handle code that calls undocumented internal APIs and services most effectively? | bing-copilot-search | The AI coding assistants most effective at handling undocumented internal APIs and services are those with deep IDE integration, runtime visibility, and reverse-engineering support—specifically Claude Code, Cursor, and specialized tools like _open-docs_. | ## Competitor excerpts | Platform | Competitor name | Excerpt | | --- | --- | --- | | google-ai | JetBrains | JetBrains * Best for: Developers who want a full-featured IDE experience without paying the latency penalty of virtual desktops. | | perplexity | JetBrains | JetBrains Gateway is a similar choice for JetBrains IDEs: it connects to a remote machine over SSH and runs the IDE backend there. | | chatgpt-search | VS Code | ...\| Environment \| Slow connection \| Intermittent connection \| Best use case \| \| --- \| --- \| --- \| --- \| \| VS Code Remote SSH \| ★★★★★ \| ★★★★☆ \| General-purpose development \| \| JetBrains Gateway / Remote Development \| ★★★★☆ \| ★★... | | chatgpt-search | JetBrains | ...case \| \| --- \| --- \| --- \| --- \| \| VS Code Remote SSH \| ★★★★★ \| ★★★★☆ \| General-purpose development \| \| JetBrains Gateway / Remote Development \| ★★★★☆ \| ★★★★☆ \| IntelliJ/PyCharm/WebStorm/CLion users \| \| Self-hosted VS Code Serv... | | chatgpt-search | Gitpod | ...\| Excellent \| Moderate \| Restart same Codespace; files preserved \| Strong, conventional persistent workspace \| \| Gitpod \| Good–excellent \| Moderate \| Recreates workspace/container from persisted state \| More explicitly ephemeral/reconstr... | | perplexity | GitHub Copilot | The strongest evidence I found is for GitHub Copilot — by a wide margin. ### Tools with real study data behind them 1. GitHub Copilot - Controlled experiment: 95 professional developers completed an HTTP server task 55.8% faster with... | | chatgpt-search | GitHub Copilot | ...ongest evidence by tool \| Tool \| Evidence \| What was measured \| Result \| \| --- \| --- \| --- \| --- \| \| GitHub Copilot \| Multiple RCTs, including large field experiments \| Task time, pull requests, completed tasks \| Positive overall... | | perplexity | GitHub Copilot | GitHub Copilot — Use repository, path-specific, or organization-level custom instructions to set conventions. | | bing-copilot-search | JetBrains | The most notable ones are JetBrains AI Assistant, Cursor, Claude Code, Windsurf/Codeium, GitHub Copilot, and newer platforms like Cubic. | | perplexity | Gitpod | [1][2] Gitpod is also strong, particularly for C++. Its docs list common tools such as `clang`, `gcc`, `cmake`, and `gdb` as preinstalled. | | chatgpt-search | VS Code | \[1\] * GitHub Codespaces — Best for serious compiled-language projects; closest to local VS Code. | | chatgpt-search | Replit | \[2\] * Replit — Excellent for quick Rust/Go/C++ experiments and collaboration, but less like a fully controlled local environment. | ## Trend Visibility delta: -1.3714285714285719 Avg position delta: 0.4078947368421053 Citation count delta: -3