{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-momenabdelkarim-wyattcalandro-luisprieto-mlir","slug":"mlir-highlighting-for-vscode","name":"MLIR Highlighting for VSCode","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=MomenAbdelkarim-WyattCalandro-LuisPrieto.mlir","page_url":"https://unfragile.ai/mlir-highlighting-for-vscode","categories":["code-editors"],"tags":["__ext_mlir","__web_extension","mlir"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-momenabdelkarim-wyattcalandro-luisprieto-mlir__cap_0","uri":"capability://code.generation.editing.textmate.grammar.based.mlir.syntax.tokenization","name":"textmate grammar-based mlir syntax tokenization","description":"Implements syntax highlighting for MLIR code by applying TextMate grammar rules that tokenize MLIR source text into semantic tokens (keywords, operators, identifiers, literals) and map them to VS Code theme colors. The extension uses a declarative grammar file (likely JSON or PLIST format) that defines regex-based patterns for MLIR constructs, enabling real-time colorization as users type or open files without requiring AST parsing or language server infrastructure.","intents":["I want MLIR code to be color-coded in my editor so I can visually distinguish keywords, types, and operations","I need to quickly scan MLIR files and identify dialect-specific constructs through syntax highlighting","I want to reduce cognitive load when reading unfamiliar MLIR code by using color cues"],"best_for":["compiler engineers working with MLIR intermediate representation","ML infrastructure teams developing MLIR-based compilation pipelines","researchers prototyping MLIR dialects and transformations"],"limitations":["Grammar-based highlighting cannot detect semantic errors (e.g., undefined operations or type mismatches) — only syntactic structure","No support for custom or user-defined dialects beyond the 8 built-in ones without modifying the extension source","Highlighting accuracy depends on grammar completeness; edge cases in MLIR syntax may not be properly colored","No incremental parsing — entire file is re-tokenized on each edit, which may cause lag on very large MLIR files (>50K lines)"],"requires":["Visual Studio Code (minimum version unknown, likely 1.50+)","File with .mlir extension or language ID set to 'mlir'","VS Code theme with defined colors for syntax token types (uses standard TextMate scopes)"],"input_types":["MLIR source code (.mlir files)","MLIR code snippets in editor buffers"],"output_types":["Colored text spans in editor (semantic highlighting)","Token metadata for VS Code theme engine"],"categories":["code-generation-editing","syntax-highlighting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-momenabdelkarim-wyattcalandro-luisprieto-mlir__cap_1","uri":"capability://code.generation.editing.multi.dialect.mlir.grammar.coverage","name":"multi-dialect mlir grammar coverage","description":"Provides syntax highlighting rules for 8 distinct MLIR dialects (Affine, LLVM IR, TensorFlow Lite, Tile, gpu, nvvm, loop, vector) by maintaining separate or integrated grammar patterns that recognize dialect-specific operations, attributes, and type systems. Each dialect has unique syntax conventions (e.g., gpu.launch vs affine.for), and the extension's grammar rules distinguish these to apply appropriate token colors, enabling developers to visually identify which dialect a given operation belongs to.","intents":["I need to visually distinguish between operations from different MLIR dialects in a single file","I want syntax highlighting to reflect the specific semantics of the dialect I'm working with (e.g., gpu operations vs affine loop constructs)","I need to quickly identify which dialect an unfamiliar operation belongs to by its color"],"best_for":["teams using multiple MLIR dialects in a single compilation pipeline","compiler researchers exploring cross-dialect transformations","developers migrating code between MLIR dialects"],"limitations":["Only 8 dialects are supported; custom or experimental dialects will not have specialized highlighting","No semantic validation that operations are valid for their dialect — highlighting is purely syntactic","Dialect-specific type systems (e.g., memref in Affine vs tensor in TensorFlow Lite) are highlighted but not validated","No cross-dialect dependency analysis or warnings if incompatible dialects are mixed"],"requires":["MLIR source code using one or more of the 8 supported dialects","VS Code 1.50+ (estimated minimum)","Extension version 1.1.0 or later (earlier versions had fewer dialects)"],"input_types":["MLIR files with Affine, LLVM IR, TensorFlow Lite, Tile, gpu, nvvm, loop, or vector dialect operations"],"output_types":["Dialect-specific token colors in editor","Visual distinction between dialect operations"],"categories":["code-generation-editing","syntax-highlighting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-momenabdelkarim-wyattcalandro-luisprieto-mlir__cap_2","uri":"capability://automation.workflow.automatic.file.type.detection.and.activation","name":"automatic file-type detection and activation","description":"Automatically activates syntax highlighting when a .mlir file is opened or when a file's language ID is set to 'mlir' in VS Code. The extension registers a language definition with VS Code's language registry, triggering grammar application without requiring manual configuration or command invocation. This is implemented via the extension's package.json manifest, which declares file associations and language metadata that VS Code uses to select the appropriate grammar on file open.","intents":["I want syntax highlighting to work automatically when I open an MLIR file without any setup","I need the extension to recognize .mlir files and apply highlighting immediately","I want to switch between MLIR and other languages in my project without manual configuration"],"best_for":["individual developers who want zero-configuration syntax highlighting","teams with mixed-language projects (C++, Python, MLIR) who need automatic language detection","users new to MLIR who don't want to manually configure language settings"],"limitations":["File detection is based only on extension (.mlir) or explicit language ID; content-based detection is not supported","No support for MLIR code embedded in other file types (e.g., MLIR in Python docstrings or C++ comments)","If a file lacks a .mlir extension, users must manually set the language ID via VS Code's language selector","No configuration option to customize file associations or add custom extensions"],"requires":["VS Code 1.50+ (estimated minimum)","File with .mlir extension OR manual language ID selection via VS Code UI","Extension installed and enabled"],"input_types":["File system paths with .mlir extension","VS Code language ID metadata"],"output_types":["Grammar activation signal to VS Code","Syntax highlighting applied to editor buffer"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-momenabdelkarim-wyattcalandro-luisprieto-mlir__cap_3","uri":"capability://code.generation.editing.theme.aware.color.mapping.for.mlir.tokens","name":"theme-aware color mapping for mlir tokens","description":"Maps MLIR syntax tokens to VS Code's standard TextMate token scopes (e.g., keyword, operator, variable, type, comment), which are then colored according to the user's active VS Code theme. The extension does not define its own colors; instead, it assigns semantic meaning to tokens (e.g., 'this is a keyword'), and VS Code's theme engine applies colors based on the user's theme settings. This allows the highlighting to adapt to light, dark, and custom themes without hardcoding colors.","intents":["I want MLIR syntax highlighting to respect my VS Code theme colors","I need highlighting to work with both light and dark themes without manual reconfiguration","I want to use custom VS Code themes and have MLIR highlighting automatically adapt"],"best_for":["users with custom VS Code themes who want consistent highlighting","teams with accessibility requirements (high-contrast themes, color-blind friendly themes)","developers who frequently switch between light and dark themes"],"limitations":["Highlighting quality depends on the VS Code theme's definition of TextMate scopes; poorly-defined themes may result in poor MLIR highlighting","No MLIR-specific theme customization; users cannot override colors for specific MLIR constructs without modifying their VS Code theme","Some themes may not define colors for all TextMate scopes, resulting in unstyled tokens","No built-in MLIR theme provided; users must rely on their existing VS Code theme"],"requires":["VS Code 1.50+ with a valid theme installed","TextMate scope definitions in the active theme (standard in all VS Code themes)"],"input_types":["VS Code theme configuration","MLIR tokens classified by TextMate scope"],"output_types":["Colored text in editor based on theme colors","Token metadata with scope assignments"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-momenabdelkarim-wyattcalandro-luisprieto-mlir__cap_4","uri":"capability://code.generation.editing.lightweight.grammar.based.parsing.without.language.server","name":"lightweight grammar-based parsing without language server","description":"Provides syntax highlighting using only TextMate grammar rules and regex-based tokenization, without requiring a language server process or AST parsing. The extension operates entirely within VS Code's built-in grammar engine, which applies regex patterns to source text and emits tokens in real-time. This approach avoids the overhead of spawning a separate process, maintaining a persistent connection, or parsing the full AST, making the extension lightweight and responsive even on large files.","intents":["I want fast, responsive syntax highlighting without the overhead of a language server","I need highlighting to work immediately without waiting for a background process to start","I want minimal memory and CPU usage for syntax highlighting in my editor"],"best_for":["developers on resource-constrained machines (laptops, older hardware)","users who want minimal VS Code extension overhead","teams prioritizing editor responsiveness over semantic analysis"],"limitations":["No semantic analysis or error detection; only syntactic highlighting is possible","No code completion, go-to-definition, or other language-aware features","Regex-based tokenization may fail on complex or nested MLIR constructs, resulting in incorrect highlighting","No incremental parsing; the entire file is re-tokenized on each edit, which may cause lag on very large files (>100K lines)","No support for language-aware refactoring, renaming, or cross-file analysis"],"requires":["VS Code 1.50+ with TextMate grammar support","MLIR source files (no external language server required)"],"input_types":["MLIR source code text"],"output_types":["Tokenized text with semantic highlighting","Real-time color updates as user types"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":33,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown, likely 1.50+)","File with .mlir extension or language ID set to 'mlir'","VS Code theme with defined colors for syntax token types (uses standard TextMate scopes)","MLIR source code using one or more of the 8 supported dialects","VS Code 1.50+ (estimated minimum)","Extension version 1.1.0 or later (earlier versions had fewer dialects)","File with .mlir extension OR manual language ID selection via VS Code UI","Extension installed and enabled","VS Code 1.50+ with a valid theme installed","TextMate scope definitions in the active theme (standard in all VS Code themes)"],"failure_modes":["Grammar-based highlighting cannot detect semantic errors (e.g., undefined operations or type mismatches) — only syntactic structure","No support for custom or user-defined dialects beyond the 8 built-in ones without modifying the extension source","Highlighting accuracy depends on grammar completeness; edge cases in MLIR syntax may not be properly colored","No incremental parsing — entire file is re-tokenized on each edit, which may cause lag on very large MLIR files (>50K lines)","Only 8 dialects are supported; custom or experimental dialects will not have specialized highlighting","No semantic validation that operations are valid for their dialect — highlighting is purely syntactic","Dialect-specific type systems (e.g., memref in Affine vs tensor in TensorFlow Lite) are highlighted but not validated","No cross-dialect dependency analysis or warnings if incompatible dialects are mixed","File detection is based only on extension (.mlir) or explicit language ID; content-based detection is not supported","No support for MLIR code embedded in other file types (e.g., MLIR in Python docstrings or C++ comments)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.38,"quality":0.2,"ecosystem":0.24,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:36.253Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mlir-highlighting-for-vscode","compare_url":"https://unfragile.ai/compare?artifact=mlir-highlighting-for-vscode"}},"signature":"UayaoEUgomFUVHyG6uwNTLmfxQsHIBF0IoekSKNonH1M41GGRdhMsR6fSmbWM0m4roHbhOC2mgDyOcINhjOkCw==","signedAt":"2026-06-22T05:28:43.240Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mlir-highlighting-for-vscode","artifact":"https://unfragile.ai/mlir-highlighting-for-vscode","verify":"https://unfragile.ai/api/v1/verify?slug=mlir-highlighting-for-vscode","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}