TracePerf - Advanced Console Logging & Performance Tracking

#📌 Product Requirements Document (PRD)

#1. Overview

TracePerf is a next-gen console logging and performance tracking tool for Node.js that enhances debugging with structured logs, execution flow tracing, and bottleneck detection. It aims to improve developer productivity by making logs more readable, organized, and insightful.

#2. Objectives

• Provide a structured and visually appealing alternative to console.log().
• Enable execution flow tracing to track function calls.
• Detect performance bottlenecks in function execution.
• Offer conditional logging modes for different environments.
• Automatically remove debug logs in production.

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#3. Features & Requirements

#3.1 Core Features

✅ Execution Flow Tracing (Visual Call Graph)

• Tracks function calls and displays a structured execution flow.
• Outputs ASCII-based flow representation.
• Logs execution time for each function.
• Example Output:

  ┌─────────────────┐
  │ fetchData()      │  ⏱  200ms
  └─────────────────┘
           │  
           ▼
  ┌─────────────────┐
  │ processData()    │  ⏱  500ms ⚠️ SLOW  
  └─────────────────┘
  

✅ Performance Tracking & Bottleneck Alerts

• Logs execution time per function.
• Identifies functions that exceed a defined execution threshold.
• Example:

  ⚠️ Bottleneck Detected: fetchData() took 2.3s
  🛠 Potential Fix: Optimize network requests or caching
  

✅ Conditional Logging Modes

• Three logging modes:
  1. dev – Detailed logs with timestamps & memory usage.
  2. staging – Logs warnings & errors only.
  3. prod – Logs only critical errors & performance issues.

✅ Nested Logging with Indentation

• Groups logs hierarchically for better readability.
• Example:

  🔹 User Authentication
    ℹ️ Checking credentials
    ⚠️ Invalid password attempt
  

✅ Auto-Remove Debug Logs in Production

• Automatically filters out debug() logs when NODE_ENV=production.
• Keeps logs clean and production-ready.

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#4. Technical Requirements

#4.1 Tech Stack

• Language: JavaScript (Node.js)
• Module Format: CommonJS & ES Modules
• Logging Output: CLI + JSON (optional for integrations)
• Performance Tracking: process.hrtime() for high-resolution timing
• Environment Variables: Reads NODE_ENV for conditional logging

#4.2 API Design

Basic Logging

1const tracePerf = require('traceperf');
2tracePerf.info("Fetching data...");
3tracePerf.warn("Slow response time detected.");
4tracePerf.error("Failed to fetch API.");

Execution Flow Tracking

1function fetchData() {
2  processData();
3}
4function processData() {
5  calculateResults();
6}
7function calculateResults() {
8  return "done";
9}
10tracePerf.track(fetchData);

Conditional Logging Modes

1tracePerf.setMode('prod');
2tracePerf.debug("This debug log will be removed in production mode.");

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#5. Milestones & Roadmap

#Phase 1: MVP (4 Weeks)

✅ Basic logging functions (info, warn, error, debug) ✅ Execution flow tracking (basic call graph) ✅ Performance monitoring (basic timing logs) ✅ Conditional logging modes (dev, staging, prod) ✅ Auto-remove debug logs in production

#Phase 2: Enhancements (4 Weeks)

🔄 Advanced call graph visualization (tree structure in CLI) 🔄 Memory usage tracking per function 🔄 JSON output option for external tools

#Phase 3: Open-Source Launch (2 Weeks)

🚀 Create GitHub repo with README, examples, and usage guide 🚀 Publish on NPM 🚀 Write Dev.to & Medium launch posts 🚀 Share on Twitter, Reddit (r/node, r/webdev)

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#6. Competitive Analysis

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#7. Success Metrics

📈 1,000+ GitHub Stars within the first 3 months. 📈 Trending on GitHub’s JavaScript category. 📈 10,000+ NPM downloads in 6 months. 📈 Adoption by 100+ companies or OSS projects.

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#8. Next Steps

• ✅ Finalize core library structure.
• ✅ Implement MVP features.
• ✅ Write documentation.
• 🚀 Launch first beta version on NPM.
• 🚀 Promote on Twitter, Dev.to, and Reddit.

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#💡 Conclusion

TracePerf is a game-changer for Node.js developers who want structured, readable, and insightful logs without AI-powered debugging. It’s lightweight, developer-friendly, and solves real debugging pain points.

Let’s build it! 🚀