COMPOSABLE USER-LAND SYNTAX EXTENSIONS. ↝ INDEPENDENTLY AUTHORED SYNTAX TRANSFORMATIONS COULD PARTICIPATE IN THE SAME COMPILATION PIPELINE, GIVING US A PLAYGROUND WHERE SYNTAX IDEAS COULD EXIST AS LIBRARIES BEFORE/WITHOUT BECOMING PART OF ECMASCRIPT.
FEATURE BECAME A MACRO… OUR ECOSYSTEM LARGELY MOVED TOWARD PARSERS, BABEL PLUGINS, TRANSFORMS, CODEMODS, AND SPECIALIZED COMPILERS. ↝ BUT THE UNDERLYING IDEA SURVIVED: COMPILE-TIME EXTENSIBILITY BECAME REGULAR JAVASCRIPT ENGINEERING.
↝ CAN I ANALYZE AND TRANSFORM JAVASCRIPT? ↝ CAN STATIC ANALYSIS CHANGE FRAMEWORK EXECUTION? ↝ WHAT IF THE LANGUAGE ITSELF IS DESIGNED TO EXPOSE MORE INFORMATION TO THE COMPILER?
In fact, reactivity was seen as a bad thing for a while with the rise of the popularity of React. The thing that has made reactive programming interesting again are compilers.” Marko: Compiling Fine-Grained Reactivity • Ryan Carniato, 2022
of your code's structure and optimize the creation paths as we already know what you are trying to create.” Marko: Compiling Fine-Grained Reactivity • Ryan Carniato, 2022
TOOLS WORK UNDER THE HOOD AND THE RATIONALES BEHIND THEM BY CHECKING THEIR SOURCE CODE. ↝ LEVERAGING REAL-WORLD CASE STUDIES FROM SMALL, MEDIUM, AND ENTERPRISE-SCALE COMPANIES. ↝ MICRO EXPERIMENTS AND THEIR RESULTS.
A CONTRACT. ↝ CORRECTNESS IS RELATIVE TO THAT CONTRACT: TYPES, SOURCE LOCATIONS, PERFORMANCE CONSTRAINTS, API COMPATIBILITY, ETC. ↝ AN OPTIMIZATION MAY RADICALLY CHANGE IMPLEMENTATION WHILE “PROMISING” THE SAME RELEVANT BEHAVIOR.
TARGET. ↝ THE SOURCE DEFINES THE SYNTAX AND SEMANTICS ACCEPTED AS INPUT. ↝ THE TARGET DEFINES THE FORM PRODUCED AS OUTPUT. ↝ THE COMPILER CONTRACT STATES WHICH PROPERTIES OF THE SOURCE PROGRAM THE TRANSLATION PRESERVES.
PRODUCES ANOTHER ONE (OR A SET OF FACTS). ↝ LEXICAL ANALYSIS PRODUCES TOKENS. ↝ PARSING PRODUCES A SYNTAX TREE. ↝ SEMANTIC ANALYSIS PRODUCES FACTS ABOUT DECLARATIONS, REFERENCES, TYPES, AND PROGRAM BEHAVIOR.
↝ CODE GENERATION PRODUCES THE TARGET PROGRAM. ↝ A REAL-WORLD COMPILER MAY COMBINE PHASES, REPEAT PHASES, AND USE SEVERAL INTERMEDIATE REPRESENTATIONS.
FOR SYNTAX ANALYSIS. ↝ BINDER FOR SYMBOL CREATION AND SCOPE MANAGEMENT. ↝ TYPE CHECKER FOR SEMANTIC ANALYSIS. ↝ EMITTER FOR CODE GENERATION. ↝ TRANSFORMATION PIPELINE FOR AST TRANSFORMATIONS.
LANGUAGE AND PRODUCES A CHECKED, COMPILER-ORIENTED, REPRESENTATION. ↝ IT USUALLY CONTAINS LEXICAL ANALYSIS, PARSING, NAME RESOLUTION, AND SEMANTIC CHECKS. ↝ IT REPORTS SOURCE-LANGUAGE ERRORS WITH SOURCE LOCATIONS AND SUPPLIES THE REPRESENTATION CONSUMED BY LATER PHASES.
INTERMEDIATE REPRESENTATIONS. ↝ ITS ANALYSES COMPUTE FACTS SUCH AS REACHABILITY, CONSTANTS, ALIASES, AND EFFECTS. ↝ ITS TRANSFORMATIONS SIMPLIFY, NORMALIZE, AND/OR OPTIMIZE THE PROGRAM.
REPRESENTATION. ↝ A NATIVE-CODE BACK-END SELECTS INSTRUCTIONS, ASSIGNS REGISTERS, AND EMITS MACHINE CODE. ↝ A SOURCE-TO-SOURCE BACK-END GENERATES SOURCE CODE IN ANOTHER LANGUAGE OR LANGUAGE VERSION.
A SEQUENCE OF SOURCE CHARACTERS. ↝ A LEXER READS CHARACTERS AND EMITS TOKENS. ↝ A TOKEN RECORDS A TOKEN CATEGORY AND MAY CARRY A LEXEME, DECODED VALUE, SOURCE RANGE, AND MORE. ↝ LEXERS RECOGNIZE IDENTIFIERS, KEYWORDS, LITERALS, OPERATORS, AND PUNCTUATION.
ONE TOKEN. ↝ A LEXER CAN STORE BOTH THE ORIGINAL LEXEME "1E3" AND THE DECODED NUMERIC VALUE "1000". ↝ SOURCE-PRESERVING TOOLS USE LEXEMES AND SOURCE RANGES TO RETAIN THE AUTHOR’S SPELLING.
LEXICAL ANALYSIS AND CONSUMED BY PARSING. ↝ A TOKEN HAS A CATEGORY (E.G. Identifier). ↝ A TOKEN CAN INCLUDE THE CORRESPONDING LEXEME AND SOURCE POSITION. ↝ A TOKEN STREAM GIVES THE PARSER A SEQUENCE OF CLASSIFIED SOURCE UNITS.
VALID SYNTACTIC STRUCTURES OF A LANGUAGE. ↝ TERMINAL SYMBOLS = TOKENS ACCEPTED. ↝ NONTERMINAL SYMBOLS = LANGUAGE CONSTRUCTS SUCH AS EXPRESSIONS, STATEMENTS, AND DECLARATIONS. ↝ PRECEDENCE AND ASSOCIATIVITY RULES DETERMINE THE GROUPING OF OPERATORS.
SEQUENCE. ↝ APPLIES THE LANGUAGE GRAMMAR TO DETERMINE HOW THE INPUT IS GROUPED. ↝ PRODUCES A CONCRETE SYNTAX TREE, ABSTRACT SYNTAX TREE, OR ANOTHER SYNTAX REPRESENTATION. ↝ RECORDS SYNTAX ERRORS.
LANGUAGE CONSTRUCTS IN A PROGRAM. ↝ EACH AST NODE REPRESENTS A CONSTRUCT SUCH AS A DECLARATION, STATEMENT, EXPRESSION, ETC. ↝ AST NODES COMMONLY STORE SOURCE RANGES, COMMENTS, AND PARSER-SPECIFIC METADATA NEEDED BY TOOLING. 🚨
CST NODE BY THE TREE SCHEMA. ↝ DETERMINES WHICH FIELDS AND CHILD RELATIONSHIPS ARE VALID FOR THE NODE. ↝ A STATIC TYPE DESCRIBES THE VALUES AN EXPRESSION MAY PRODUCE OR ACCEPT. 🚨
PROPERTIES THAT DEPEND ON LANGUAGE MEANING. ↝ NAME RESOLUTION CONNECTS IDENTIFIER REFERENCES TO DECLARATIONS. ↝ MODULE RESOLUTION CONNECTS IMPORT SPECIFIERS TO SOURCE FILES AND DECLARATIONS. ↝ TYPE CHECKING VERIFIES OPERATIONS.
PROGRAM ENTITY. ↝ IT CAN REPRESENT A VARIABLE, FUNCTION, CLASS, PROPERTY, MODULE, TYPE, OR NAMESPACE. ↝ IT LINKS DECLARATIONS AND REFERENCES THAT BELONG TO THE SAME ENTITY.
EXPRESSIONS AND VERIFIES TYPE RULES. ↝ IT READS AST NODES, SYMBOLS, DECLARATIONS, AND CONTROL-FLOW FACTS. ↝ A TYPE DESCRIBES AN APPROXIMATION OF THE VALUES AND OPERATIONS ASSOCIATED WITH A PROGRAM ENTITY.
AND FINAL TARGET EMISSION. ↝ DEFINES A VOCABULARY OF OPERATIONS AND A SET OF STRUCTURAL INVARIANTS. ↝ A COMPILER CAN USE SEVERAL IRs, WITH EACH REPRESENTATION SERVING DIFFERENT ANALYSES AND TRANSFORMATIONS.
CONCEPTS. ↝ A LOW-LEVEL IR MAKES CONTROL FLOW, DATA MOVEMENT, AND EXECUTION OPERATIONS EXPLICIT. ↝ LOWERING IS A TRANSFORMATION FROM A HIGHER-LEVEL REPRESENTATION TO A LOWER-LEVEL ONE, WITH MORE EXPLICIT OPERATIONS AND FEWER LANGUAGE CONSTRUCTS.
A REPRESENTATION ACCORDING TO AN ORDER. ↝ A GRAPH TRAVERSAL USES A VISITED SET TO HANDLE JOINS AND CYCLES. ↝ TRAVERSAL ORDER DETERMINES WHEN PARENT, CHILD, PREDECESSOR, AND SUCCESSOR INFORMATION IS AVAILABLE. 🚨
BEING VISITED. ↝ A VISITOR METHOD RECEIVES A NODE OR PATH AND THE STATE ASSOCIATED WITH THE CURRENT PASS. ↝ ENTER AND EXIT CALLBACKS RUN BEFORE AND AFTER VISITING CHILD NODES. 🚨
OF EXECUTION WITHIN A PROGRAM. ↝ CFG NODES REPRESENT BASIC BLOCKS OR INDIVIDUAL OPERATIONS. CFG EDGES REPRESENT POSSIBLE NEXT EXECUTION STEPS. ↝ CONTROL-FLOW ANALYSES USE THE CFG TO REASON ABOUT REACHABILITY, LIVENESS, DEFINITE ASSIGNMENT, AND AVAILABLE EXPRESSIONS.
BE REACHED FROM A SELECTED SET OF ROOTS. ↝ THE ROOTS DEFINE THE STARTING NODES OF THE ANALYSIS. THE GRAPH EDGES DEFINE PERMITTED TRANSITIONS. ↝ CFG REACHABILITY IDENTIFIES EXECUTABLE BLOCKS. MODULE-GRAPH REACHABILITY IDENTIFIES MODULES AND EXPORTS REACHABLE FROM APPLICATION ENTRY POINTS.
TO LOCATIONS IN ORIGINAL SOURCE FILES. ↝ DEBUGGERS USE SOURCE MAPS TO DISPLAY ORIGINAL SOURCE LOCATIONS WHILE EXECUTING GENERATED CODE. ↝ ERROR-REPORTING TOOLS USE SOURCE MAPS TO ATTRIBUTE GENERATED-CODE FAILURES TO AUTHORWRITTEN SOURCE. 🚨
A COLLECTION OF FILES. ↝ IT SELECTS SOURCE LOCATIONS, CHECKS TRANSFORMATION PRECONDITIONS, CREATES EDITS, AND WRITES UPDATED SOURCE. ↝ COMMONLY USED TO MIGRATE APIS, RENAME DECLARATIONS, UPDATE IMPORTS, AND REPLACE DEPRECATED PATTERNS. 🚨
-FLAG-PROTECTED, BUILDS OF THE SAME CODEBASE, WITH: ↝ DIFFERENT VERSIONS OF DEV DEPENDENCIES. ↝ DIFFERENT VERSIONS OF APP DEPENDENCIES. ↝ DIFFERENT STRATEGIES FOR BUNDLING AND SERVING.
PLUGIN COMPOSITION. ↝ ACTUAL DATA IS THE SINGLE SOURCE OF TRUTH AND CONSISTENCY IS GUARANTEED ACROSS ALL API ENDPOINTS AND THE REACT APP. ↝ RAPID ITERATION WITH INSTANT TYPED APIS AND ENHANCED DX WHEN IMPLEMENTING NEW METRICS.
ETC.) IS A CUSTOMER CONTRACT. THEY WRITE CSS/JS AGAINST IT. ↝ WE NEED TO CATCH WHEN A PR CHANGES IT WITHOUT A HAND-MAINTAINED SELECTOR LIST. ↝ FOR THAT, WE CAN PARSE EVERY COMPONENT'S TSX/JSX AND WALK THE TREE TO EXTRACT A STRUCTURAL DOM CONTRACT: TAGS, RESOLVED CLASS TOKENS, ID/NAME…
SELECTORS TO AUTOMATE AGAINST, BUT HAND-WRITTEN LOCATORS IN TEST CODE OFTEN DRIFT FROM THE ACTUAL DOM. ↝ TO IMPROVE THIS, WE CAN SCAN THE ACTUAL SOURCE OF TRUTH (E.G. JSX + SCSS) AND GENERATE A LOCATOR DSL QE CONSUMES.
AS ARBITRARY JAVASCRIPT PATTERNS THAT COMPILERS HAVE TO GUESS FROM USAGE. ↝ E.G. items.map(…): A COMPILER ONLY SEES A METHOD CALL ON AN OBJECT. MAP COULD BE ARRAY MAPPING, SOME CUSTOM API BEHAVIOR, OR SOMETHING ELSE WITH SIDE EFFECTS.
OWN NODES SUCH AS JSXIfExpression, JSXForExpression, JSXCodeBlock, JSXStyleElement, ETC. ↝ PERFORMS SEPARATE SEMANTIC ANALYSIS AND TRANSFORMATION PHASES.
EVERY CONSUMPTION POINT OF REACT COMPONENTS ACROSS MULTIPLE CODEBASES WITHIN AN ORGANIZATION. ↝ IT GENERATES BOTTOM-UP ADOPTION REPORTS BY IDENTIFYING HOW COMPONENTS FROM SPECIFIC DESIGN SYSTEMS ARE USED, ALIASED, OR BYPASSED. ↝ IT ANSWERS TECHNICAL/BUSINESS QUESTIONS ON DESIGN SYSTEM HEALTH AND MIGRATION PROGRESS.
TYPESCRIPT/ JAVASCRIPT AST, ALLOWING IT TO FOLLOW COMPONENTS ACROSS IMPORTS, EXPORTS, AND COMPLEX CODE PATTERNS (E.G. HOCS OR DESTRUCTURING). ↝ ITS ENGINE RUNS IN A MULTI-STAGE PIPELINE, ENDING WITH THE GENERATION OF A UsageStat ARRAY THAT DESCRIBES HOW DESIGN SYSTEM COMPONENTS ARE CONSUMED WITHIN A PROJECT.
IN THE CODEBASE THAT DO NOT ORIGINATE FROM A TRACKED DESIGN SYSTEM. IT CAN DISTINGUISH BETWEEN DESIGN SYSTEM USAGE AND CUSTOM/LEGACY IMPLEMENTATIONS. ↝ IT USES AST TRAVERSAL AND HEURISTICS TO IDENTIFY COMPONENT DECLARATIONS THAT DIRECTLY REFERENCE PRIMITIVE DOM ELEMENTS OR CSS-IN-JS FACTORIES.
<div /> const Box = styled.div const Wrapper = () <OtherDSComp /> > = > = function util() { return 1 + 1 } DETECTED? REASON YES BUILT-IN LOWERCASE JSX YES STYLED-COMPONENTS (FACTORY) NO NO PRIMITIVE DOM ELEMENTS USED NO NOT A COMPONENT (NO JSX)
ISLAND IS LOADED IN PARALLEL. ↝ MULTI-FRAMEWORK: BUILD ISLANDS WITH REACT, PREACT, SVELTE, VUE, AND OTHERS. ↝ YOU CAN SPECIFY THE LOADING STRATEGY FOR EACH ISLAND INDIVIDUALLY.
COMPONENT STYLES ARE ISOLATED. ↝ SCRIPT EXTRACTION: IDENTIFIES <script> TAGS THAT SHOULD BE HOISTED OR PROCESSED AS MODULES. ↝ HYDRATION DIRECTIVES: PROCESSES client:* DIRECTIVES TO IDENTIFY COMPONENTS THAT REQUIRE CLIENT-SIDE HYDRATION.
COMPONENTS WITH DIRECTIVES LIKE client:load. ↝ CLIENT-ONLY COMPONENTS: COMPONENTS WITH THE client:only DIRECTIVE. ↝ HYDRATION DIRECTIVES: RECORD OF ALL DIRECTIVES USED IN THE FILE.
• mobx • valtio • etc. STYLE TAG • emotion • styled-components • etc. VUE COMPOSITION API • OPTIONS API STYLE TAG • CSS MODULES ANGULAR SIGNALS API • CLASSIC API STYLE TAG • CSS MODULES QWIK useStore STYLE TAG • file splitting SOLID createSignal STYLE TAG • SOLID-STYLED-COMPONENTS SVELTE REACTIVE STATEMENTS STYLE TAG
⇢ “WHAT SHAPE IS THIS CODE?”. ↝ ts-morph: SEMANTIC ANALYSIS ⇢ “WHAT DOES THIS CODE MEAN/RESOLVE TO?”. ↝ BOTH ARE STATIC (NO CODE EXECUTION), BUT AT DIFFERENT LEVELS OF ABSTRACTION.
IR IS THE ENTIRE REASON MITOSIS CAN SUPPORT 20+ FRAMEWORKS FROM ONE SOURCE. ↝ STATIC ANALYSIS IS WHAT LETS THE IR CARRY SEMANTIC HINTS (E.G. REACTIVITY) THAT PURELYSYNTACTIC PARSING CAN'T CAPTURE.
CODEBASES FOR SECURITY, PERFORMANCE, AND CORRECTNESS. ↝ IT SUPPORTS BOTH MANUAL USE BY DEVELOPERS AND AUTOMATED CONSUMPTION BY AI CODING AGENTS. ↝ @react-doctor/core DOES THE HEAVY LIFTING AND ORCHESTRATES THE ANALYSIS PIPELINE. IT LEVERAGES oxlint-plugin-react-doctor FOR HIGH-PERFORMANCE LINTING AND deslop-js FOR DEAD-CODE ANALYSIS.
TO EMPOWER AGENTS WITH STRUCTURAL CODE SEARCH CAPABILITIES. ↝ THE SKILL CONVERTS REQUESTS SUCH AS “FIND ASYNC FUNCTIONS THAT CALL THIS API WITHOUT ERROR HANDLING” INTO EXPLICIT STRUCTURAL CONDITIONS. ↝ IT EVALUATES THOSE CONDITIONS AGAINST TREESITTER SYNTAX NODES, MAKING MATCHES INDEPENDENT OF FORMATTING, INDENTATION, AND COMMENTS.
NODE TOGETHER WITH ITS DESCENDANTS, ANCESTORS, AND NEIGHBORING NODES. ↝ THE RESULT IS A REPEATABLE QUERY YOU CAN INSPECT, TEST, SAVE AS YAML, AND RUN ACROSS YOUR REPO.
CONTAINING CODE, PATTERNS, YAML RULES, LANGUAGE INFORMATION, AND OUTPUT CONTROLS. ↝ THE SERVER TRANSLATES EACH REQUEST INTO AST-GREP COMMAND-LINE ARGUMENTS AND EXECUTES AST-GREP AS A SUBPROCESS. ↝ THE SERVER ALSO INTERPRETS THE PROCESS OUTPUT AND RETURNS AN AGENT-ORIENTED RESULT.
(FUNCTIONS, CLASSES) REGARDLESS OF FORMATTING. ↝ ITERATIVE RULE DEVELOPMENT: AI CAN TEST RULES WITH test_match_code_rule() BEFORE APPLYING TO THE FULL CODEBASE. ↝ PATTERN DISCOVERY: AI CAN USE dump_syntax_tree() TO UNDERSTAND AST STRUCTURE BEFORE WRITING SEARCH PATTERNS.
REACTIVITY WITH A MULTI-PHASE COMPILER TO DELIVER HIGH-PERFORMANCE WEB APPLICATIONS. ↝ ITS ARCHITECTURE HAS THREE PARTS: THE COMPILER + THE RUNTIME (CLIENT-SIDE REACTIVITY AND SSR) + DEVELOPER TOOLS. ↝ THE COMPILER TRANSFORMS .tsrx FILES INTO OPTIMIZED JS THAT CALLS RUNTIME APIS.
VIRTUAL DOM. IT RELIES ON A GLOBAL CLOCK AND DEPENDENCY TRACKING TO UPDATE ONLY WHAT CHANGED. ↝ WHEN A Tracked VALUE IS UPDATED VIA A SETTER, IT MARKS THE ASSOCIATED Block HIERARCHY AS DIRTY. ↝ THE SCHEDULER FLUSHES THESE UPDATES, TRIGGERING SPECIFIC DOM UPDATE PRIMITIVES (LIKE set_text OR set_attribute) ONLY FOR THE AFFECTED NODES.
REACTIVE PREFIXES, AND TRACKED COLLECTION LITERALS. ↝ ANALYSIS: BUILDS SCOPE CHAINS, RESOLVES BINDING OBJECTS, AND VALIDATES RULES. ↝ TRANSFORMATION: TEMPLATES ARE TRANSFORMED INTO OPTIMIZED DOM INSTRUCTIONS. IN SERVER, IT PUSHES STATIC STRINGS AND DYNAMIC EXPRESSIONS INTO THE SSR OUTPUT BUFFER.
AND THE OPTIMIZING COMPILER. ↝ VIRTUAL DOM RUNTIME: UPDATES THE UI, SIMILAR TO EXISTING VIRTUAL DOM LIBRARIES. ↝ OPTIMIZING COMPILER: ANALYZES JAVASCRIPT AND COMPUTES UNNECESSARY WORK DURING COMPILE TIME TO REDUCE LOAD TIME AND SPEED UP RENDERING.
THAT TRANSFORMS HYPERSCRIPT FUNCTION CALLS INTO A FLATTENED STRUCTURE. ↝ THIS OPTIMIZATION REDUCES THE MEMORY ALLOCATION REQUIRED DURING RUNTIME BY ELIMINATING FUNCTION CALL NESTING.
TO THE FLATTENED NODES, ENABLING FINE-GRAINED CONTROL OVER RUNTIME COMPUTATIONS. ↝ THIS IS SIMILAR TO THE OPTIMIZATIONS IMPLEMENTED IN INFERNO, TARGETING REDUCED COMPUTATIONAL OVERHEAD DURING RENDERING.
ALLOCATION, IT EXTRACTS HYPERSCRIPT STRUCTURES THAT ARE INDEPENDENT OF STATE CHANGES AND RELOCATES THEM TO THE GLOBAL JAVASCRIPT SCOPE. ↝ BY SEPARATING STATIC ELEMENTS FROM DYNAMIC ONES, THIS OPTIMIZATION ENSURES THAT NON-DYNAMIC CONTENT IS PRECOMPUTED AND REUSED EFFICIENTLY, REDUCING THE LOAD ON RUNTIME OPERATIONS.
GENERATING THE EQUIVALENT OF useMemo, useCallback, AND memo CALLS. ↝ MINIMIZE THE COST OF RE-RENDERING WHILE RETAINING REACT’S PROGRAMMING MODEL. ↝ AUTOMATIC OPTIMIZATION COMPILER.
const x = useMemo(() function Component({ a, b }) { { const x = []; x.push(a); return x; }, [a]); } return <Foo x={x} />; } > = — ALIAS ANALYSIS IN THE REACT COMPILER • SATHYA GUNASEKARAN, 2024
function Component({ a, b }) { const x = []; x.push(a); const y = x; y.push(b); return <Foo x={x} />; } } > > — ALIAS ANALYSIS IN THE REACT COMPILER • SATHYA GUNASEKARAN, 2024
function Component({ a, b }) { const x = []; x.push(a); ❌ const y = x; y.push(b); return <Foo x={x} />; } } > > — ALIAS ANALYSIS IN THE REACT COMPILER • SATHYA GUNASEKARAN, 2024
function Component({ a, b }) { const x = useMemo(() { const x = []; x.push(a); const y = x; y.push(b); return y; }, [a, b]); return <Foo x={x} />; } } > = — ALIAS ANALYSIS IN THE REACT COMPILER • SATHYA GUNASEKARAN, 2024
function Component({ a, b }) { const x = useMemo(() => { const x = []; x.push(a); const y = x; y.push(b); return y; ✅ }, [a, b]); return <Foo x={x} />; } } — ALIAS ANALYSIS IN THE REACT COMPILER • SATHYA GUNASEKARAN, 2024
A SINGLE DEFINITION. MAINTAINING USE-DEFINED CHAINS IS EASIER, SINCE FOR EVERY USE, YOU HAVE TO KEEP TRACK OF ONLY ONE DEFINITION. ↝ THE SIMPLIFIED STRUCTURE ENABLES MORE POWERFUL AND EFFICIENT OPTIMIZATION TECHNIQUES.
OF THE CODE. IT USES REGULAR EXPRESSIONS TO EXTRACT EVERY STRING THAT COULD POSSIBLY BE A CLASS NAME. ↝ IT WILL ONLY FIND CLASSES THAT EXIST AS COMPLETE UNBROKEN STRINGS. ↝ YOU CAN'T CONSTRUCT CLASS NAMES DYNAMICALLY.
AND GENERATES CODE THAT CAPTURES THE RESULT OF COMPUTATIONS THAT CAN BE PERFORMED IN ADVANCE. ↝ IT TRANSFORMS JAVASCRIPT CODE THROUGH ABSTRACT INTERPRETATION, CONCRETE EVALUATION, AND SERIALIZATION TO PRODUCE OPTIMIZED OUTPUT. ↝ META BUILT IT TO IMPROVE JAVASCRIPT PERFORMANCE FOR WEB APPLICATIONS.
OF createElement CALLS; OPTIMIZING THE RUNTIME PERFORMANCE OF THE APPLICATION. ↝ SPECIAL JSX FLAGS CAN BE USED DURING COMPILE TIME TO OPTIMIZE RUNTIME PERFORMANCE AT THE APPLICATION LEVEL.
IDENTIFIES DEPENDENCIES AND DETECTS REACTIVE STATEMENTS AND EVENT HANDLERS. ↝ SCOPES STYLES TO COMPONENTS AND OPTIMIZES CSS FOR PERFORMANCE. …AND MUCH MORE!
BEEN REASSIGNED OR MUTATED AND REFERENCED IN THE TEMPLATE WILL HAVE THE $$invalidate FUNCTION INSERTED RIGHT AFTER THE ASSIGNMENT OR MUTATION. ↝ IT MARKS THE VARIABLE DIRTY AND SCHEDULES AN UPDATE FOR THE COMPONENT.
+ ITS COMPILER AND FINE-GRAINED REACTIVITY FOUND IN LIBRARIES LIKE VUE, SOLID, OR MOBX. ↝ SPLITS A COMPONENT INTO MULTIPLE FUNCTIONS: ONE FOR EACH REACTIVE ATOM THAT WHEN EXECUTED WITH A NEW VALUE CONDITIONALLY CALLS ANY DOWNSTREAM WORK. — FLUURT: RE-INVENTING MARKO • RYAN CARNIATO
CONSUMERS OF THE COMPONENT CAN SELECTIVELY IMPORT THE METHODS THEY NEED IF THE DATA THEY PASS IN IS DYNAMIC. ↝ COMPILES AWAY ANY NOTION OF REACTIVITY AND COMPONENTS. — FLUURT: RE-INVENTING MARKO • RYAN CARNIATO
walks ="D%c%c%l"; export function apply_a(scope, a) { if (scope.a scope.a a) { a; scope.text0.data a; applyWith_a_b(scope); } } export function apply_b(scope, b) { if (scope.b scope.b b) { b; scope.text1.data b; applyWith_a_b(scope); } } function applyWith_a_b({ text2, a, b }) { text2.data a + b; = = = = = = = = ! ! = = = } <!></div>";
FROM THE INTERPRETER AND RUNS QUICK OPTIMIZATIONS. ↝ TURBOFAN: TRANSLATES BYTE-CODE INTO HIGHLY OPTIMIZED MACHINE CODE, USING SEA OF NODES (SON) AND CONTROL-FLOW GRAPH (CFG) IR.
DATA-FLOW GRAPH IR, USES PROFILING TO SPECIALIZE TYPES, REMOVE CHECKS, AND MORE, BUT WITH MODERATE COMPILE COST. ↝ FTL JIT: USES MULTIPLE IR (INCLUDING B3 AND LLVM) FOR AGGRESSIVE OPTIMIZATIONS AND HIGHER THROUGHPUT FOR HOT CODE.
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