| Quality |
| 0 |
| 1 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 14 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Analyzes JavaScript/TypeScript syntax trees to identify selected code or expressions, then automatically detects all semantically equivalent occurrences in the current file scope. Generates refactored code with a new variable declaration and replaces all matched instances, handling both single and multiple occurrence scenarios through AST pattern matching rather than text-based regex.
Unique: Uses Abstract Syntax Tree (AST) parsing to perform structurally-aware variable extraction across 40+ JavaScript/TypeScript language variants (ES5 through ES2022, JSX, TSX, Vue), enabling detection of semantically identical expressions that text-based tools would miss, with built-in support for template literals and complex nested expressions.
vs alternatives: More accurate than VS Code's native Extract Variable (which uses regex-based heuristics) because it understands code structure; faster than language-server-based refactoring because analysis is local and incremental rather than full-project re-analysis.
Detects common patterns in conditional logic (string comparisons, double negations, redundant operators) and applies targeted transformations using AST rewriting. Converts verbose boolean expressions into modern JavaScript idioms (optional chaining, array.includes()) by pattern-matching against known anti-patterns and emitting optimized AST nodes that are then serialized back to source code.
Unique: Implements a pattern-matching engine that recognizes 10+ distinct anti-patterns in boolean expressions (comparison chains, double negation, redundant operators) and applies AST-level transformations to emit modern JavaScript idioms (optional chaining, array.includes(), inverted conditions) without requiring external linting rules or configuration.
vs alternatives: More targeted than generic linters (ESLint) because it provides interactive, in-editor refactoring suggestions with one-click application; more comprehensive than IDE-native simplifications because it covers ES2020+ patterns like optional chaining that older tools don't recognize.
Integrates with VS Code's code action system to surface refactoring suggestions through multiple UI surfaces: Quick Fix menu (Cmd+.), Refactor menu (Ctrl+Cmd+R), Source Action menu (Ctrl+Cmd+S), and direct keyboard shortcuts (Ctrl+Cmd+X for Extract, Ctrl+Cmd+I for Inline). Analyzes cursor position and selection context to determine available actions and displays them in a prioritized list, enabling one-click application of refactorings.
Unique: Integrates deeply with VS Code's code action system through multiple UI surfaces (Quick Fix, Refactor, Source Action menus) and direct keyboard shortcuts, with context-aware filtering that surfaces only relevant actions for the current cursor position and selection, enabling efficient one-click refactoring workflows.
vs alternatives: More discoverable than command-line tools because it uses VS Code's native UI surfaces; more efficient than manual refactoring because it requires only a single action to apply complex transformations.
Scans the current file for common refactoring opportunities and displays recommendations in a suggestion panel with visual indicators (underlines with three dots) marking code that can be refactored. Analyzes the entire file scope to identify patterns that match known refactoring rules, then surfaces suggestions without requiring explicit user action, enabling proactive code quality improvements.
Unique: Implements file-level pattern scanning that identifies refactoring opportunities across the entire file and surfaces them in a suggestion panel with visual indicators, enabling proactive code quality improvements without requiring explicit user action or command invocation.
vs alternatives: More proactive than on-demand refactoring tools because it continuously scans the file and surfaces suggestions; more discoverable than linting tools because it uses VS Code's native UI surfaces rather than separate output panels.
Provides direct keyboard shortcuts for common refactoring actions (Extract: Ctrl+Cmd+X, Inline: Ctrl+Cmd+I, Toggle Braces: Ctrl+Cmd+B, Move Up/Down: Ctrl+Alt+↑↓) with platform-specific variants for Windows/Linux, and adds dedicated Touch Bar buttons on macOS for Rename, Quick Fix, Refactor, and Source Action. Enables power users to apply refactorings without navigating menus, using keyboard-driven workflows for maximum efficiency.
Unique: Provides comprehensive keyboard shortcut coverage for common refactoring actions with platform-specific variants (macOS, Windows, Linux) and adds dedicated Touch Bar buttons on macOS, enabling power users to apply refactorings without navigating menus or using the mouse.
vs alternatives: More efficient than menu-driven refactoring because it eliminates the need to navigate UI; more accessible than command-line tools because it integrates with VS Code's native keybinding system.
Offers a free tier with core refactoring actions (extract variable, inline variable, basic simplifications) and a premium tier with advanced features (additional code actions, priority support, early access to new features). Uses VS Code's extension marketplace for distribution and licensing, with in-app prompts to upgrade to premium for advanced features.
Unique: Implements a freemium licensing model with free core refactoring actions and premium advanced features, using VS Code's extension marketplace for distribution and in-app upgrade prompts, enabling users to evaluate the tool before committing to a paid subscription.
vs alternatives: More accessible than paid-only tools because it offers a free tier for evaluation; more sustainable than free-only tools because it provides a revenue model for ongoing development and support.
Identifies variable declarations and their usage sites within the current file scope, then replaces all references with the variable's assigned value by performing AST-level substitution. Handles scope boundaries (block scope, function scope) and validates that inlining does not create unintended variable shadowing or reference errors before applying the transformation.
Unique: Performs scope-aware AST analysis to ensure inlining does not violate JavaScript scoping rules (block scope, function scope, temporal dead zone) and validates that the inlined expression does not create variable shadowing conflicts or alter execution semantics before applying the transformation.
vs alternatives: More reliable than manual inlining because it automatically validates scope boundaries and reference correctness; safer than text-based find-and-replace because it understands variable scope and prevents accidental shadowing or reference errors.
Detects variable assignments that are immediately followed by a return statement (or are the final statement in a function), then refactors the code to eliminate the intermediate variable by replacing the assignment with a direct return of the assigned expression. Uses AST pattern matching to identify this specific anti-pattern and applies a single-step transformation.
Unique: Recognizes the specific anti-pattern of assignment-then-return through AST pattern matching and applies a single-step transformation that preserves expression semantics while eliminating the intermediate variable, with validation that the variable is not referenced elsewhere in the function.
vs alternatives: More targeted than generic refactoring tools because it specifically identifies and eliminates this common anti-pattern; faster than manual refactoring because it requires a single action rather than multiple edits.
+6 more capabilities
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 JS Refactoring Assistant at 42/100. JS Refactoring Assistant 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.
+5 more capabilities