| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 13 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Provides tokenization-based syntax colorization for 5+ COBOL dialects (Rocket COBOL, ACUCOBOL-GT, COBOL-IT, RMCOBOL, ILECOBOL) and related languages (JCL, PL/I, HLASM, REXX) with awareness of COBOL's fixed-format column structure (columns 1-6 sequence area, 7 indicator area, 8-11 area A, 12-72 area B). Uses dialect-specific keyword and reserved word definitions to apply context-aware colorization inline within the VS Code editor without requiring external compilation or language server.
Unique: Explicitly supports COBOL fixed-format column structure (columns 1-6, 7, 8-11, 12-72) with visual margin indicators, and covers 5+ COBOL dialects plus related mainframe languages (JCL, PL/I, HLASM, REXX) in a single extension — most competitors focus on single dialects or free-format only
vs alternatives: Broader dialect coverage and fixed-format awareness than Rocket's official extension or generic COBOL plugins, making it suitable for heterogeneous mainframe environments with legacy code
Provides real-time code completion for COBOL keywords, intrinsic functions, and copybook names triggered via VS Code's standard IntelliSense UI (Ctrl+Space). Generates completion suggestions in three case variants (lowercase, UPPERCASE, CamelCase) based on dialect-specific keyword definitions and current editor context. Completion is triggered on partial keyword input and filters suggestions by prefix matching without requiring external language server or network calls.
Unique: Generates three case-variant suggestions (lowercase, UPPERCASE, CamelCase) for each keyword, allowing developers to match project coding standards without post-completion refactoring — most COBOL editors offer single-case completion only
vs alternatives: Faster keyword entry than manual typing and more flexible than fixed-case completers, reducing context-switching for teams with mixed case conventions
Offers optional keybinding configuration that emulates xedit (IBM mainframe editor) keyboard shortcuts, allowing developers familiar with mainframe editing environments to use familiar key combinations in VS Code. Keybindings are optional and can be enabled/disabled via extension settings, providing a bridge for mainframe developers transitioning to modern IDEs.
Unique: Provides optional xedit-style keybindings to bridge mainframe and modern development environments — most modern editors lack mainframe editor emulation
vs alternatives: Reduces friction for mainframe developers transitioning to VS Code by preserving familiar keyboard shortcuts, improving adoption and productivity
Implements configurable tab key behavior that respects COBOL's fixed-format column structure (columns 1-6 sequence area, 7 indicator area, 8-11 area A, 12-72 area B). Tab key can be configured to jump to the next COBOL column boundary (e.g., from column 7 to column 8, or from column 11 to column 12) rather than inserting spaces, enabling rapid navigation within fixed-format constraints. Reduces manual spacing and improves editing efficiency in fixed-format COBOL.
Unique: Implements COBOL-aware tab key behavior that respects fixed-format column boundaries — most editors treat tabs as generic whitespace without COBOL structure awareness
vs alternatives: Faster navigation in fixed-format COBOL and reduces manual spacing errors compared to generic tab behavior
Supports development container workflows (VS Code Dev Containers) that include COBOL compilation and debugging tools (Visual COBOL, Rocket COBOL). Enables developers to use the extension within containerized development environments that provide COBOL compiler, debugger, and mainframe connectivity without requiring local installation. Integrates with VS Code's Dev Containers extension to provide seamless COBOL development in isolated, reproducible environments.
Unique: Explicitly supports VS Code Dev Containers for COBOL development, enabling containerized workflows with Visual COBOL and mainframe tools — most COBOL editors lack container integration
vs alternatives: Enables reproducible, isolated COBOL development environments without local tool installation, improving team consistency and CI/CD integration
Enables rapid navigation within COBOL programs by parsing program structure (IDENTIFICATION DIVISION, ENVIRONMENT DIVISION, DATA DIVISION, PROCEDURE DIVISION, sections, paragraphs) and exposing navigation shortcuts via VS Code's command palette and breadcrumb UI. Implements outline/breadcrumb generation that reflects COBOL's hierarchical structure, allowing developers to jump to specific divisions, sections, or paragraphs without scrolling through large files. Uses static parsing of COBOL keywords to identify structural boundaries.
Unique: Parses COBOL's hierarchical division/section/paragraph structure and exposes it via VS Code's native outline and breadcrumb APIs, enabling structural navigation without requiring a full language server or compilation — most COBOL editors use simple text search or require external tools
vs alternatives: Faster and more intuitive than Ctrl+F searching for division names, and works offline without external language servers or compilation
Allows developers to drag copybook files (.cpy, .cblcopy, .cobcopy) from the file explorer and drop them into COBOL source code, automatically generating a COPY statement with the copybook name. Integrates with VS Code's drag-and-drop API to detect copybook file types and insert the appropriate COBOL COPY syntax without manual typing. Reduces friction in including external data structures and common code segments.
Unique: Integrates copybook insertion via drag-and-drop into VS Code's native file explorer, eliminating manual COPY statement typing — most COBOL editors require manual typing or separate copybook dialogs
vs alternatives: Faster and more intuitive than manual COPY statement entry, reducing typos and improving developer velocity in copybook-heavy projects
Renders visual markers on VS Code's minimap and overview ruler to highlight COBOL program structure boundaries (divisions, sections, paragraphs) with customizable colors for each structural level. Implements VS Code's decoration API to overlay colored regions on the minimap, allowing developers to quickly identify program structure at a glance without reading code. Colors are configurable per structural level (division, section, paragraph) with separate light and dark theme variants and alpha transparency control.
Unique: Provides granular control over minimap boundary visualization with separate color settings for divisions, sections, and paragraphs, plus light/dark theme variants and alpha transparency — most editors offer simple monochrome structure indicators
vs alternatives: Enables rapid visual scanning of large programs without scrolling, and supports accessibility-focused color customization for teams with specific visual requirements
+5 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 COBOL at 41/100. COBOL 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