| 0 |
| 1 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 8 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Generates new code from natural language requests by routing to different LLM backends based on user-selected mode: 'smart' mode uses Claude Opus 4.6 or GPT-5.4 for complex reasoning, 'rush' mode uses Claude Haiku 4.5 for fast execution, and 'deep' mode uses GPT-5.3 Codex with extended thinking for complex problem-solving. The agent maintains conversation threads within VS Code, allowing users to iteratively refine generated code through multi-turn dialogue without losing context.
Unique: Implements mode-based model routing (smart/rush/deep) within a single extension, allowing developers to toggle between speed and reasoning depth without switching tools or losing conversation context. The 'deep' mode with extended thinking is explicitly designed for complex problem-solving, differentiating from simpler code completion tools.
vs alternatives: Offers built-in mode selection for speed vs. quality tradeoffs without requiring manual model switching, whereas GitHub Copilot uses a single model per request and Cursor requires separate configuration for different reasoning modes.
Modifies existing code across multiple files in the user's codebase by analyzing project structure and context, then presenting all proposed changes in a built-in review panel before application. The agent understands the full codebase scope (not just the current file) and can coordinate edits across related files. Changes are held in a staging state until the user explicitly approves them, preventing accidental overwrites.
Unique: Implements a mandatory human review panel for all multi-file changes before application, combined with codebase-wide context awareness. This differs from Copilot (which applies edits immediately in some modes) and Cursor (which has optional review). The agent maintains full project context rather than operating on isolated files.
vs alternatives: Provides safer multi-file editing than Copilot by requiring explicit approval before changes are written, while maintaining codebase-wide context that Copilot lacks in many scenarios.
Maintains multi-turn conversation threads within the VS Code sidebar, allowing users to iteratively refine code generation and modification requests while preserving full context across turns. Each thread stores the conversation history, generated code, and applied changes, enabling users to reference previous requests and build on prior work without re-explaining context. Threads can be saved and shared (mechanism undocumented).
Unique: Implements persistent conversation threads as a first-class feature within the VS Code sidebar, allowing full context preservation across multiple code generation/modification requests. This differs from stateless code completion (Copilot) and from chat-based tools that don't maintain codebase context across turns.
vs alternatives: Preserves both conversation history and code context across turns better than Copilot's stateless completions, while integrating directly into the editor sidebar rather than requiring a separate chat window like ChatGPT or Claude.ai.
Activates a 'deep' mode that routes requests to GPT-5.3 Codex with extended thinking capabilities, enabling the agent to reason through complex coding problems step-by-step before generating solutions. This mode is designed for problems that require multi-step reasoning, architectural decisions, or deep analysis of existing code. Extended thinking adds latency but produces higher-quality solutions for difficult problems.
Unique: Explicitly exposes extended thinking as a selectable mode ('deep') within the agent, allowing developers to opt-in to slower but more thorough reasoning for complex problems. This is distinct from tools that use extended thinking transparently or not at all.
vs alternatives: Provides explicit control over reasoning depth (smart/rush/deep modes) whereas Copilot uses a single model per request, and Cursor requires separate configuration or prompting to trigger deeper reasoning.
Integrates with the VS Code terminal to enable the agent to receive context from terminal output, error messages, and command execution results. The agent can use this terminal context to generate fixes, debug issues, or provide recommendations based on actual runtime behavior. The specific mechanism for passing terminal context to the agent is completely undocumented.
Unique: Explicitly mentions terminal integration as a core feature ('coding agent for your editor and terminal') but provides zero documentation on implementation, creating a significant gap between advertised capability and documented behavior.
vs alternatives: Attempts to bridge editor and terminal contexts in a single agent, whereas Copilot and Cursor primarily operate on code files without explicit terminal integration.
Implements an explicitly opinionated design philosophy that prioritizes forward progress and feature iteration over backward compatibility. The agent makes specific architectural choices about which features to include/exclude and explicitly states 'No backcompat, no legacy features' as a design principle. This allows rapid iteration and feature changes but means breaking changes can occur between versions without deprecation warnings.
Unique: Explicitly embraces breaking changes and lack of backward compatibility as a design principle, differentiating from most production tools that prioritize stability. This is a meta-capability about the tool's evolution strategy rather than a user-facing feature.
vs alternatives: Prioritizes innovation velocity over stability, whereas Copilot and Cursor maintain backward compatibility and stable APIs for enterprise customers.
Offers free access to the agent with an undocumented pricing model for advanced features or higher usage. The free tier provides access to the agent's core capabilities, but specific quotas, rate limits, and paid tier features are not documented. The extension is installable at no cost, but usage-based or feature-based pricing may apply.
Unique: Offers free access to a frontier coding agent without documented pricing or quota limits, creating uncertainty about long-term cost of ownership. This is unusual for AI-powered tools that typically have clear pricing from the start.
vs alternatives: Free entry point is more accessible than GitHub Copilot ($10/month) or Cursor (paid), but lack of pricing transparency makes it harder to evaluate total cost of ownership.
Provides a dedicated sidebar panel in VS Code for agent interaction, accessible via an Amp icon in the activity bar. The sidebar serves as the primary UI for issuing natural language requests, viewing conversation threads, and managing agent state. This integration keeps the agent accessible without requiring separate windows or applications.
Unique: Integrates agent as a native VS Code sidebar panel rather than a separate window or external application, keeping the agent context within the editor environment. This is similar to Copilot Chat but distinct from external tools like ChatGPT or Claude.ai.
vs alternatives: Keeps agent interaction within VS Code sidebar, reducing context switching compared to external chat tools, while providing more persistent visibility than Copilot's inline suggestions.
Generates single-line and multi-line code suggestions in real-time as developers type, using semantic indexing of the entire codebase to retrieve relevant type definitions, function signatures, and contextual patterns. The system maintains a 1M token context window (Pro/Team tiers) that enables suggestions informed by distant code definitions and cross-file dependencies, constructed via local codebase semantic search rather than simple token-based recency. Suggestions adapt to detected coding style on Pro/Team tiers through implicit pattern learning from recent edits.
Unique: 1M token context window with codebase-wide semantic indexing enables suggestions informed by distant code definitions and cross-file patterns, versus competitors (Copilot, Tabnine) that typically use fixed context windows (4K-32K tokens) or file-local context. Claimed 250ms latency suggests optimized retrieval pipeline, though indexing mechanism and performance at scale remain undisclosed.
vs alternatives: Larger context window than GitHub Copilot (8K-32K tokens) and faster latency than unnamed competitors (250ms vs 783ms claimed), enabling suggestions on large codebases with minimal typing delay; trade-off is cloud dependency and undisclosed free tier limitations.
Provides a separate chat interface supporting multiple LLM backends (GPT-4o, Claude 3.5 Sonnet, GPT-4, others) for conversational code assistance. Users attach files, reference recent edits, and trigger compiler diagnostic uploads; the system generates diffs and applies code changes directly to the editor. Model selection is per-conversation, and $5/month in credits (included in Pro/Team) covers external model API costs; overage pricing is undisclosed. Hotkey-driven workflow enables rapid context switching between inline completion and chat.
Unique: Multi-model chat interface with per-conversation model selection and integrated diff application, combined with compiler diagnostic auto-upload. Unlike Copilot Chat (single model per tier) or standalone ChatGPT, Supermaven Chat unifies multiple LLM backends in a single hotkey-driven workflow with direct editor integration for change application.
Supermaven scores higher at 71/100 vs Amp (Research Preview) at 37/100. Amp (Research Preview) leads on ecosystem, while Supermaven is stronger on adoption and quality.
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vs alternatives: Supports multiple LLM backends (GPT-4o, Claude 3.5 Sonnet) in one interface with included credits, whereas GitHub Copilot Chat is single-model per tier and requires separate ChatGPT subscription for model switching; trade-off is credit limits and unknown overage pricing.
Supermaven Chat can automatically upload compiler diagnostic messages (errors, warnings) alongside code context to provide error-aware suggestions and fixes. The mechanism is described as 'automatically uploading your code together with compiler diagnostic messages,' but specific language/compiler support and the upload trigger mechanism are undisclosed. This feature is Chat-only and not available in inline completion.
Unique: Automatic compiler diagnostic upload in Chat for error-aware suggestions, versus competitors (Copilot, Tabnine) that require manual error context or have limited diagnostic integration. Supermaven's approach reduces friction but with undisclosed language/compiler support.
vs alternatives: Automatic diagnostic upload reduces manual context-gathering compared to manual copy-paste; trade-off is undisclosed language support and unclear upload trigger mechanism.
Supermaven offers a 30-day free trial of the Pro tier ($10/month), providing full access to 1M token context window, largest model, style adaptation, and $5/month chat credits. No credit card is required to start the trial (implied), and trial conversion to paid is automatic after 30 days unless cancelled. Trial terms and auto-renewal policy are not explicitly detailed.
Unique: 30-day free trial of Pro tier with full feature access (1M context, largest model, chat credits), versus competitors (Copilot 2-month free trial, Tabnine free tier only) with different trial lengths and feature access. Supermaven's approach is generous but with undisclosed auto-renewal terms.
vs alternatives: Full Pro feature access during trial compared to limited free tier; trade-off is undisclosed auto-renewal policy and potential unexpected charges if not cancelled.
Supermaven requires internet connectivity and server-side inference; no offline mode or local inference capability is mentioned or available. All code completion requests are sent to Supermaven's backend servers for processing, and responses are returned over the network. This creates a hard dependency on network connectivity and Supermaven's service availability; if the service is down or network is unavailable, code completion is not available.
Unique: Supermaven has no offline mode or local inference capability; all processing is server-side. GitHub Copilot also requires server-side inference, but Tabnine offers local inference options for some use cases. Supermaven's lack of offline capability is a significant limitation for developers with connectivity constraints.
vs alternatives: Supermaven's server-side-only approach is comparable to GitHub Copilot; Tabnine offers local inference options, making Tabnine more suitable for offline work. Supermaven's lack of offline capability is a weakness vs. Tabnine.
Analyzes recent code edits and inferred coding patterns to adapt inline suggestions to match team conventions, naming patterns, and structural preferences. The mechanism is implicit (not explicit fine-tuning) and operates only on Pro/Team tiers, suggesting pattern learning from editor activity rather than explicit configuration. Free tier uses a single base model without personalization.
Unique: Implicit style adaptation via editor activity analysis without explicit configuration, versus competitors (Copilot, Tabnine) that require manual style guides or explicit fine-tuning. Supermaven's approach is transparent to the user but also non-configurable and undisclosed in mechanism.
vs alternatives: Requires no manual style configuration compared to tools requiring explicit style guides; trade-off is lack of transparency and inability to control or export learned styles.
Delivers code suggestions to the editor inline as the developer types, with a claimed baseline latency of 250ms from keystroke to suggestion display. The system uses a cloud inference backend and local editor plugin to minimize round-trip time. Latency claim is positioned against an unnamed competitor (783ms), but methodology is undisclosed and no independent verification is provided.
Unique: Claimed 250ms latency via optimized cloud inference pipeline and editor plugin architecture, versus competitors with higher latency (783ms unnamed baseline). Actual differentiation is undisclosed; mechanism may involve request batching, model quantization, or edge caching, but specifics are not public.
vs alternatives: Faster than unnamed competitor (250ms vs 783ms claimed); trade-off is cloud dependency and unverified latency claim with no SLA or performance guarantee.
Provides native editor extensions for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.), and Neovim, enabling inline suggestion rendering, hotkey-driven chat access, and compiler diagnostic integration directly within the editor. Each plugin variant is maintained separately and integrates with the editor's native autocomplete UI, keybinding system, and file context APIs.
Unique: Native plugins for three major editor ecosystems (VS Code, JetBrains, Neovim) with integrated chat and diff application, versus competitors (Copilot, Tabnine) that support broader editor ecosystems but with less deep integration in some cases. Supermaven's approach prioritizes depth over breadth.
vs alternatives: Deep integration with VS Code and JetBrains (native autocomplete UI, hotkey system) compared to web-based tools or lighter integrations; trade-off is limited editor support (no Sublime, Vim, Emacs) and undisclosed Neovim support details.
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