Building an OpenTelemetry Instrumentation Wizard

An engineer has built the OpenTelemetry (OTel) Instrumentation Wizard, a Streamlit and Python tool that automatically injects production-grade OTel traces, metrics, and logs across multiple programming languages while preserving existing business logic. The wizard uses a multi-stage pipeline with language detection, AST/Regex analysis, safety validation, user review, and code injection, targeting official OTel semantic conventions across seven languages.

Accelerating observability adoption by automating OpenTelemetry instrumentation across heterogeneous codebases Years ago, I was tasked with building OpenTelemetry metric collection for a client who wanted IBM Instana's capabilities without deploying the Instana agent to their production servers. Achieving that required meticulous, time-consuming effort to instrument their Go and Python applications manually. Recently, I faced almost the exact same challenge - except this time, I had Bob as an AI collaborator. Leveraging Bob, I set out to build an industrialized, universal instrumentation solution to solve the problem at scale. Adding telemetry to existing applications is often tedious, manual, and error-prone. To solve this, we designed the OpenTelemetry OTel Instrumentation Wizard - a tool built with Streamlit and Python that automatically injects production-grade OTel traces, metrics, and logs across multiple programming languages while strictly preserving existing business logic. What follows is the implementation and the components. The wizard operates as a structured multi-stage pipeline. Source files pass from initial language detection through AST/Regex analysis, safety validation, user review, and code injection before returning fully instrumented outputs. OTel-Wizard: injected markers, guaranteeing zero disruption to original runtime logic. otel-wizard/ ├── app.py Streamlit UI 3-step wizard ├── injectors/ │ ├── base injector.py Abstract base + InjectionResult dataclass │ ├── python injector.py AST-aware Python injector │ ├── go injector.py Go import + initTracer injector │ ├── java injector.py Java try-with-resources span injector │ ├── javascript injector.py Node.js SDK setup + span injector │ ├── typescript injector.py ES import syntax + typed Tracer injector │ └── c injector.py C header + otel start/end span injector ├── utils/ │ ├── language detector.py Extension + heuristic language detection │ └── diff viewer.py Unified text diff + colour-coded HTML diff ├── samples/ Six hello-world files pre-injection ├── tests/ pytest suite 8 test files, 128 assertions ├── requirements.txt ├── .env.example └── run tests.sh The wizard targets official OpenTelemetry semantic conventions across 7 key languages, applying tailored injection strategies according to each language's SDK maturity: | Language | Traces | Metrics | Logs | Injection Strategy | | ----------------------- | -------- | -------- | -------- | --------------------------------------------------- | | Python Generic | ✅ Stable | ✅ Stable | ✅ Dev | AST-based ast module | | Python - Flask | ✅ Stable | ✅ Stable | ✅ Dev | AST + FlaskInstrumentor middleware | | Python - FastAPI | ✅ Stable | ✅ Stable | ✅ Dev | AST + FastAPIInstrumentor + ASGI hook | | Python - Django | ✅ Stable | ✅ Stable | ✅ Dev | AST + DjangoInstrumentor + Psycopg2Instrumentor | | JavaScript / TypeScript | ✅ Stable | ✅ Stable | ⚠️ Dev | Regex + template | | Go | ✅ Stable | ✅ Stable | ⚠️ Beta | Regex + template | | Java | ✅ Stable | ✅ Stable | ✅ Stable | Template overlay | | C / .NET | ✅ Stable | ✅ Stable | ✅ Stable | ActivitySource template | | Ruby | ✅ Stable | ⚠️ Dev | ⚠️ Dev | Regex + template | | PHP | ✅ Stable | ✅ Stable | ✅ Stable | Regex + template | Signal status reflects the official OpenTelemetry Language Status https://opentelemetry.io/docs/languages/ as of 2025. Python Supported Frameworks Special Python based frameworks are also implemented in the wizard; | Framework | What Gets Injected | | ----------- | ------------------------------------------------------------ | | Generic | SDK imports, TracerProvider init, span context managers around all functions | | Flask | All of the above + FlaskInstrumentor .instrument app app, excluded urls=... + RequestsInstrumentor .instrument | | FastAPI | All of the above + FastAPIInstrumentor.instrument app app, excluded urls=..., exclude spans= "receive" + HTTPXClientInstrumentor .instrument | | Django | All of the above + DjangoInstrumentor .instrument request hook=..., is sql commentor enabled=True + Psycopg2Instrumentor .instrument - inserted before get wsgi application / get asgi application | Framework-specific requirements.txt entries are also generated automatically. Users retain full control over how telemetry is applied across their services through the wizard's configuration engine: service.name and s ervice.version resource attributes dynamically. otlp-http , otlp-grpc , console , and prometheus endpoints.The architecture behind the OpenTelemetry Instrumentation Wizard follows a clean four-phase pipeline: Detection → Analysis → Injection → Reporting . wizard/core/models.py @dataclass class WizardConfig: service name: str = "my-service" service version: str = "1.0.0" exporter: str = "otlp-http" otlp endpoint: str = "http://localhost:4318" signals: list = field default factory=lambda: "traces", "metrics", "logs" depth: str = "medium" shallow | medium | deep sampling ratio: float = 1.0 @dataclass class InjectionPoint: signal: str "trace" | "metric" | "log" kind: str "span" | "counter" | "provider init" ... location: str "function:<name " | "file top" reason: str code preview: str enabled: bool = True wizard/core/detector.p y php def detect language filename: str, source: str = "" - dict: , ext = os.path.splitext filename.lower if ext in EXTENSION MAP: lang = EXTENSION MAP ext return {"language": "javascript" if lang == "typescript" else lang, "confidence": "high"} if source: first line = source.splitlines 0 if source.splitlines else "" if first line.startswith " " : for pattern, lang in SHEBANG PATTERNS: if re.search pattern, first line, re.IGNORECASE : return {"language": lang, "confidence": "high"} - AST & Pattern Analysis wizard/core/analyzer.py python def generate plan source: str, language: str, filename: str, config: WizardConfig - InstrumentationPlan: plan = InstrumentationPlan language=language, config=config check = check existing instrumentation source, language if check "already instrumented" : plan.already instrumented = True return plan plan.dependencies = get dependencies language, config.signals functions = detect functions source, language, config.depth for line no, func name, kind in functions: if "traces" in config.signals: plan.injection points.append InjectionPoint signal="trace", kind="span", location=f"function:{func name}", reason=f"Wrap '{func name}' with a trace span for distributed tracing", code preview=f"span '{func name}' line {line no} " return plan wizard/core/injector.py php def inject source: str, plan: InstrumentationPlan, filename: str = "" - InjectionResult: language = plan.language if language == "python": from wizard.languages.python injector import PythonInjector injector = PythonInjector plan elif language == "javascript": from wizard.languages.js injector import JSInjector injector = JSInjector plan ... remaining target language dispatchers return injector.inject source wizard/app.py The main entry point ties the interactive user workflow together across four clear user steps: detect language . generate plan to output an itemized data frame of target span hooks and missing dependencies. inject upon user confirmation. generate report and packs the modified source, package metadata requirements.txt , package.json , etc. , and markdown report into an in-memory ZIP archive.The core wizard module includes these language-specific injector implementations: wizard/core/injector.py maps source languages to these concrete injector classes: | Language | Injector Class | Key Strategy & Tracing Mechanism | | ------------------------------- | -------------------- | ------------------------------------------------------------ | | Python PY | PythonInjector PY | Uses standard ast parsing to inject OTel imports, provider initializers, and wrap function bodies using with otel tracer.start as current span ... context managers. PY | | JavaScript / TypeScript PY | JSInjector PY | Prepends tracer setup headers, generates an accompanying instrumentation.js file, and wraps functions with otelTracer.startActiveSpan ... . PY | | Go PY | GoInjector PY | Injects go.opentelemetry.io/otel imports, adds an initOtelProvider initialization function, and inserts ctx, otelSpan := otelTracer.Start ... with defer otelSpan.End . PY | | Java PY | JavaInjector PY | Appends static OpenTelemetry class initializers and wraps public/protected method bodies using try Scope = ... and finally { otelSpan.end ; } blocks. PY | | C / .NET PY | DotNetInjector PY | Injects native System.Diagnostics.ActivitySource fields and wraps methods using using var otelActivity = otelSource.StartActivity ... with try/catch exception recording. PY | | C PY | CInjector PY | Scans line-by-line using regex for C function signatures, injects otel init inside main , and inserts macro/pointer span tracking blocks at function entry points. PY | | PHP PY | PHPInjector PY | Prepends a PHP OTel bootstrap block and wraps function bodies in startSpan , activate , and try/catch/finally blocks. PY | | Ruby PY | RubyInjector PY | Prepends require 'opentelemetry/sdk' , configures the global SDK, and wraps method bodies inside OTEL TRACER.in span ... do ... end blocks. PY | // OTel-Wizard: injected or OTel-Wizard: injected for easy auditing and tracing. requirements.txt , package.json , go.mod , pom.xml , CMakeLists.txt , Gemfile , or CLI package commands.In the OTel Instrumentation Wizard , injectors are specialized components responsible for parsing source code in a target programming language, inserting required OpenTelemetry SDK setup/imports, and wrapping key execution blocks such as entry points or main functions with span tracking logic. Base Abstraction & Lifecycle Control BaseInjector : Establishes a common inject source code, filename contract and returns an InjectionResult dataclass containing the modified source code, language metadata, and a human-readable list of changes. It provides shared helpers to enforce non-empty source checks require non empty , detect pre-existing OTel instrumentation already has otel , and scan for common entry points across languages find main function . Tracer Provider Initialisation : Prepends or injects global tracer configuration, SDK setups, or SDK bootstrap calls suitable for the target runtime environment. Span Wrapping & Lifecycle Management : Identifies entry functions e.g., main , if name == " main ": and injects code to start spans at entry and guarantee proper span finalisation/teardown via native language constructs such as try-with-resources , defer , try/finally , or with blocks . Idempotency Safeguards : Checks for pre-existing OTel markers e.g., opentelemetry , go.opentelemetry.io/otel prior to modifying files, skipping injection if the source code is already instrumented. PythonInjector Inserts OTel imports, sets up a TracerProvider and ConsoleSpanExporter , and wraps the body of def main : using Python's with tracer.start as current span ... context manager while handling indentation. Code Excerpt injectors/python injector.py : python OTEL IMPORTS = """\ from opentelemetry import trace from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import BatchSpanProcessor, ConsoleSpanExporter, from opentelemetry.sdk.resources import Resource, SERVICE NAME """ OTEL PROVIDER INIT = """\ OTel Initialise TracerProvider otel resource = Resource attributes={SERVICE NAME: name } otel provider = TracerProvider resource= otel resource otel provider.add span processor BatchSpanProcessor ConsoleSpanExporter trace.set tracer provider otel provider tracer = trace.get tracer name """ GoInjector Injects go.opentelemetry.io/otel packages into import ... blocks, appends an initTracer helper function, and modifies func main to initialize the provider with defer tp.Shutdown ctx and defer span completion via defer span.End . Code Excerpt injectors/go injector.py : MAIN PREAMBLE = """\ // OTel Initialise tracer ctx := context.Background tp, err := initTracer if err = nil { log.Fatalf "failed to initialise tracer: %v", err } defer func { if shutdownErr := tp.Shutdown ctx ; shutdownErr = nil { log.Printf "tracer shutdown error: %v", shutdownErr } } tracer := otel.Tracer "main" ctx, span := tracer.Start ctx, "main" // OTel root span defer span.End = ctx // use ctx in downstream calls """ JavaInjector Inserts io.opentelemetry.api imports after package or existing import statements and wraps public static void main String args with a try-with-resources block using Scope scope = span.makeCurrent and explicit error reporting in a catch block. Code Excerpt injectors/java injector.py : otel preamble = f"\n{body indent}// OTel Initialise tracer\n" f"{body indent}OpenTelemetry openTelemetry = GlobalOpenTelemetry.get ;\n" f"{body indent}Tracer tracer = openTelemetry.getTracer \"main\" ;\n" f"{body indent}Span span = tracer.spanBuilder \"main\" .startSpan ;\n" f"{body indent}try Scope scope = span.makeCurrent {{\n" otel postamble = f"{body indent}}} catch Exception e {{\n" f"{body indent} span.setStatus StatusCode.ERROR, e.getMessage ;\n" f"{body indent} throw e;\n" f"{body indent}}} finally {{\n" f"{body indent} span.end ;\n" f"{body indent}}}\n" JavaScriptInjector / TypeScriptInjector Prepends a Node.js NodeSDK configuration block and tracer acquisition otelTracer.startSpan . TypeScript uses ES module imports and type declarations const otelTracer: Tracer , wrapping function bodies with standard try/catch/finally blocks. Code Excerpt injectors/typescript injector.py : OTEL SETUP BLOCK = """\ // OTel ── OpenTelemetry setup ────────────────────────────────────────────── import { NodeSDK } from '@opentelemetry/sdk-node'; import { ConsoleSpanExporter } from '@opentelemetry/sdk-trace-node'; import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node'; import { Resource } from '@opentelemetry/resources'; import { SemanticResourceAttributes } from '@opentelemetry/semantic-conventions'; import { trace, Tracer, context, SpanStatusCode } from '@opentelemetry/api'; const otelSdk: NodeSDK = new NodeSDK { resource: new Resource { SemanticResourceAttributes.SERVICE NAME : 'otel-wizard-service', } , traceExporter: new ConsoleSpanExporter , instrumentations: getNodeAutoInstrumentations , } ; otelSdk.start ; process.on 'SIGTERM', : void = { otelSdk.shutdown ; } ; const otelTracer: Tracer = trace.getTracer 'main' ; // OTel ───────────────────────────────────────────────────────────────────── """ CInjector Appends C OTel headers include "opentelemetry c/otel api.h" , inserts otel init and otel start span "main" at the beginning of int main , injects otel end span prior to any return statement inside main , and appends otel shutdown before closing the function. Code Excerpt injectors/c injector.py : OTEL MAIN INIT = """\ / OTel Initialise tracer / otel init "otel-wizard-service" ; otel span t otel span = otel start span "main" ; """ OTEL MAIN CLOSE = """\ / OTel End root span and shutdown / otel end span otel span ; otel shutdown ; """ The utils directory provides critical supporting functionality for the OTel Instrumentation Wizard, focusing on file analysis and difference visualization: Language Detection utils/language detector.py : The LanguageDetector class identifies programming languages through explicit extension maps and keyword content heuristics. It offers two primary mechanisms: detect , which strictly validates whether a file has an active injector available raising UnsupportedLanguageError otherwise , and detect any , a non-raising alternative designed for fluid UI workflows that gracefully flags recognized but non-instrumentable languages. Diff Generation & Visualisation utils/diff viewer.py : Leverages Python's native difflib module to compute line-by-line differences between original and instrumented source code. It provides generate unified diff to output standard text diffs diff -u and generate html diff to build sanitised, color-coded HTML views with styled line highlights green for additions, red for deletions, and blue for hunk headers . To validate the code injection process across all supported target environments, the project includes clean, minimal "Hello World" benchmark samples free of any initial OpenTelemetry instrumentation: Language Coverage : Standardized samples are provided for C helloworld.c , Go helloworld.go , Java HelloWorld.java , JavaScript helloworld.js , Python helloworld.py , and TypeScript helloworld.ts . Canonical Code Structure : Each file implements a simple main entry point and helper greeting function such as greet / main . This standardized pattern allows unit and integration tests to reliably verify header/import additions, tracer setup placements, and entry-point span wrapping across every supported language. // tests/samples/go/sample app.go // A plain Go HTTP server WITHOUT OTel instrumentation. // Used to validate the wizard's Go injection. package main import "encoding/json" "fmt" "log" "math/rand" "net/http" "time" type Item struct { Name string json:"name" Price float64 json:"price" Quantity int json:"quantity" } type OrderRequest struct { UserID int json:"user id" Items Item json:"items" } type OrderResponse struct { User string json:"user" Total float64 json:"total" Status string json:"status" } func calculateTotal items Item float64 { total := 0.0 for , item := range items { qty := item.Quantity if qty == 0 { qty = 1 } total += item.Price float64 qty } return total } func fetchUser userID int map string interface{}, error { time.Sleep time.Duration rand.Intn 50 time.Millisecond if userID <= 0 { return nil, fmt.Errorf "invalid userID: %d", userID } return map string interface{}{ "id": userID, "name": fmt.Sprintf "User %d", userID , }, nil } func processOrder userID int, items Item OrderResponse, error { user, err := fetchUser userID if err = nil { return nil, err } total := calculateTotal items log.Printf "Order processed for %v: $%.2f", user "name" , total return &OrderResponse{ User: user "name" . string , Total: total, Status: "confirmed", }, nil } func orderHandler w http.ResponseWriter, r http.Request { if r.Method = http.MethodPost { http.Error w, "method not allowed", http.StatusMethodNotAllowed return } var req OrderRequest if err := json.NewDecoder r.Body .Decode &req ; err = nil { http.Error w, err.Error , http.StatusBadRequest return } resp, err := processOrder req.UserID, req.Items if err = nil { http.Error w, err.Error , http.StatusBadRequest return } w.Header .Set "Content-Type", "application/json" json.NewEncoder w .Encode resp } func healthHandler w http.ResponseWriter, r http.Request { w.Header .Set "Content-Type", "application/json" fmt.Fprintf w, {"status":"ok"} } func main { http.HandleFunc "/order", orderHandler http.HandleFunc "/health", healthHandler log.Println "Server listening on :8080" log.Fatal http.ListenAndServe ":8080", nil } Step 4 : Download the modified Code // tests/samples/go/sample app.go // A plain Go HTTP server WITHOUT OTel instrumentation. // Used to validate the wizard's Go injection. package main import "context" // OTel-Wizard: injected "os" // OTel-Wizard: injected "go.opentelemetry.io/otel" // OTel-Wizard: injected "go.opentelemetry.io/otel/attribute" // OTel-Wizard: injected "go.opentelemetry.io/otel/codes" // OTel-Wizard: injected "go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp" // OTel-Wizard: injected "go.opentelemetry.io/otel/sdk/resource" // OTel-Wizard: injected sdktrace "go.opentelemetry.io/otel/sdk/trace" // OTel-Wizard: injected semconv "go.opentelemetry.io/otel/semconv/v1.26.0" // OTel-Wizard: injected "go.opentelemetry.io/otel/trace" // OTel-Wizard: injected // initOtelProvider initialises the TracerProvider. // OTel-Wizard: injected func initOtelProvider ctx context.Context func context.Context error, error { exporter, err := otlptracehttp.New ctx, otlptracehttp.WithEndpoint getEnv "OTEL EXPORTER OTLP ENDPOINT", "http://localhost:4318" , otlptracehttp.WithInsecure , if err = nil { return nil, err } res, err := resource.Merge resource.Default , resource.NewWithAttributes semconv.SchemaURL, semconv.ServiceName getEnv "OTEL SERVICE NAME", "my-service" , semconv.ServiceVersion getEnv "OTEL SERVICE VERSION", "1.0.0" , , if err = nil { return nil, err } tp := sdktrace.NewTracerProvider sdktrace.WithBatcher exporter , sdktrace.WithResource res , otel.SetTracerProvider tp return tp.Shutdown, nil } // getEnv returns env var value or fallback. // OTel-Wizard: injected func getEnv key, fallback string string { if v := os.Getenv key ; v = "" { return v } return fallback } var otelTracer = otel.Tracer "my-service" // OTel-Wizard: injected "encoding/json" "fmt" "log" "math/rand" "net/http" "time" type Item struct { Name string json:"name" Price float64 json:"price" Quantity int json:"quantity" } type OrderRequest struct { UserID int json:"user id" Items Item json:"items" } type OrderResponse struct { User string json:"user" Total float64 json:"total" Status string json:"status" } func calculateTotal items Item float64 { // OTel-Wizard: injected ctx, otelSpan := otelTracer.Start ctx, "calculateTotal", trace.WithAttributes attribute.String "code.function", "calculateTotal" defer func { if r := recover ; r = nil { otelSpan.SetStatus codes.Error, "panic" otelSpan.End panic r } otelSpan.End } // OTel-Wizard: injected = ctx // OTel-Wizard: injected total := 0.0 for , item := range items { qty := item.Quantity if qty == 0 { qty = 1 } total += item.Price float64 qty } return total } func fetchUser userID int map string interface{}, error { // OTel-Wizard: injected ctx, otelSpan := otelTracer.Start ctx, "fetchUser", trace.WithAttributes attribute.String "code.function", "fetchUser" defer func { if r := recover ; r = nil { otelSpan.SetStatus codes.Error, "panic" otelSpan.End panic r } otelSpan.End } // OTel-Wizard: injected = ctx // OTel-Wizard: injected time.Sleep time.Duration rand.Intn 50 time.Millisecond if userID <= 0 { return nil, fmt.Errorf "invalid userID: %d", userID } return map string interface{}{ "id": userID, "name": fmt.Sprintf "User %d", userID , }, nil } func processOrder userID int, items Item OrderResponse, error { // OTel-Wizard: injected ctx, otelSpan := otelTracer.Start ctx, "processOrder", trace.WithAttributes attribute.String "code.function", "processOrder" defer func { if r := recover ; r = nil { otelSpan.SetStatus codes.Error, "panic" otelSpan.End panic r } otelSpan.End } // OTel-Wizard: injected = ctx // OTel-Wizard: injected user, err := fetchUser userID if err = nil { return nil, err } total := calculateTotal items log.Printf "Order processed for %v: $%.2f", user "name" , total return &OrderResponse{ User: user "name" . string , Total: total, Status: "confirmed", }, nil } func orderHandler w http.ResponseWriter, r http.Request { // OTel-Wizard: injected ctx, otelSpan := otelTracer.Start ctx, "orderHandler", trace.WithAttributes attribute.String "code.function", "orderHandler" defer func { if r := recover ; r = nil { otelSpan.SetStatus codes.Error, "panic" otelSpan.End panic r } otelSpan.End } // OTel-Wizard: injected = ctx // OTel-Wizard: injected if r.Method = http.MethodPost { http.Error w, "method not allowed", http.StatusMethodNotAllowed return } var req OrderRequest if err := json.NewDecoder r.Body .Decode &req ; err = nil { http.Error w, err.Error , http.StatusBadRequest return } resp, err := processOrder req.UserID, req.Items if err = nil { http.Error w, err.Error , http.StatusBadRequest return } w.Header .Set "Content-Type", "application/json" json.NewEncoder w .Encode resp } func healthHandler w http.ResponseWriter, r http.Request { // OTel-Wizard: injected ctx, otelSpan := otelTracer.Start ctx, "healthHandler", trace.WithAttributes attribute.String "code.function", "healthHandler" defer func { if r := recover ; r = nil { otelSpan.SetStatus codes.Error, "panic" otelSpan.End panic r } otelSpan.End } // OTel-Wizard: injected = ctx // OTel-Wizard: injected w.Header .Set "Content-Type", "application/json" fmt.Fprintf w, {"status":"ok"} } func main { http.HandleFunc "/order", orderHandler http.HandleFunc "/health", healthHandler log.Println "Server listening on :8080" log.Fatal http.ListenAndServe ":8080", nil } … and the code’s dependencies; Add to go.mod require block: go.opentelemetry.io/otel v1.33.0 go.opentelemetry.io/otel/sdk v1.33.0 go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp v1.33.0 go.opentelemetry.io/otel/sdk/metric v1.33.0 The OTel Instrumentation Wizard provides an automated, end-to-end solution for introducing OpenTelemetry tracing into multi-language source code without requiring manual boilerplate construction. By leveraging a streamlined three-step workflow Upload → Preview Diff → Download , the application abstracts the complexity of observability integration: Intelligent Language Detection & Flexibility : Through the LanguageDetector module, the wizard automatically identifies file types via explicit extension matching and keyword-based content heuristics. It provides broad recognition across many ecosystem languages while enforcing clear guardrails for supported injection targets. Robust Code Injection Engine : Built upon a extensible BaseInjector contract, concrete injectors for Python , Go , Java , JavaScript , TypeScript , and C automatically handle import injections, tracer provider setup, and entry-point span wrapping. Native language constructs such as try-with-resources , defer , with blocks, or explicit return-wrapping guarantee safe span lifecycle management and error propagation across diverse runtime models. Safety, Transparency, & Idempotency : Built-in safeguards check for pre-existing OTel markers to prevent duplicate instrumentation. The interactive UI offers full transparency via unified and color-coded HTML diff viewers utils/diff viewer.py , ensuring developers can inspect and accept all injected modifications with total confidence. Empirically Validated Architecture : Accompanied by standardized, clean test samples across all target languages, the architecture ensures reproducible and dependable AST/text transformations across real-world codebases. Ultimately, the application bridges the gap between raw source code and modern observability practices, lowering the barrier to entry for distributed tracing across heterogeneous developer stacks. Thanks for reading 🔮