TracePerf - Advanced Console Logging & Performance Tracking
Defines a Node.js logging library with execution flow tracing, performance bottleneck detection, and conditional log modes for dev/staging/prod.
What this file does
Defines a Node.js logging library with execution flow tracing, performance bottleneck detection, and conditional log modes for dev/staging/prod.
When to use it
- Building a Node.js library that needs structured logging and performance tracking
- Replacing console.log with a tool that auto-removes debug logs in production
- Adding visual call graph and execution time monitoring to an existing project
- Creating a PRD for a developer tool that competes with Winston or Pino
Assumes this stack
TracePerf - Advanced Console Logging & Performance Tracking
๐ 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.
3. Features & Requirements
3.1 Core Features
โ 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:
โโโโโโโโโโโโโโโโโโโ โ fetchData() โ โฑ 200ms โโโโโโโโโโโโโโโโโโโ โ โผ โโโโโโโโโโโโโโโโโโโ โ processData() โ โฑ 500ms โ ๏ธ SLOW โโโโโโโโโโโโโโโโโโโ
โ Performance Tracking & Bottleneck Alerts
- Logs execution time per function.
- Identifies functions that exceed a defined execution threshold.
- Example:
โ ๏ธ Bottleneck Detected: fetchData() took 2.3s ๐ Potential Fix: Optimize network requests or caching
โ Conditional Logging Modes
- Three logging modes:
devโ Detailed logs with timestamps & memory usage.stagingโ Logs warnings & errors only.prodโ Logs only critical errors & performance issues.
โ Nested Logging with Indentation
- Groups logs hierarchically for better readability.
- Example:
๐น User Authentication โน๏ธ Checking credentials โ ๏ธ Invalid password attempt
โ Auto-Remove Debug Logs in Production
- Automatically filters out
debug()logs whenNODE_ENV=production. - Keeps logs clean and production-ready.
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_ENVfor conditional logging
4.2 API Design
Basic Logging
const tracePerf = require('traceperf');
tracePerf.info("Fetching data...");
tracePerf.warn("Slow response time detected.");
tracePerf.error("Failed to fetch API.");
Execution Flow Tracking
function fetchData() {
processData();
}
function processData() {
calculateResults();
}
function calculateResults() {
return "done";
}
tracePerf.track(fetchData);
Conditional Logging Modes
tracePerf.setMode('prod');
tracePerf.debug("This debug log will be removed in production mode.");
5. Milestones & Roadmap
Phase 1: MVP (4 Weeks)
โ
Basic logging functions (info, warn, error, debug)
โ
Execution flow tracking (basic call graph)
โ
Performance monitoring (basic timing logs)
โ
Conditional logging modes (dev, staging, prod)
โ
Auto-remove debug logs in production
Phase 2: Enhancements (4 Weeks)
๐ Advanced call graph visualization (tree structure in CLI) ๐ Memory usage tracking per function ๐ JSON output option for external tools
Phase 3: Open-Source Launch (2 Weeks)
๐ Create GitHub repo with README, examples, and usage guide ๐ Publish on NPM ๐ Write Dev.to & Medium launch posts ๐ Share on Twitter, Reddit (r/node, r/webdev)
6. Competitive Analysis
| Feature | TracePerf | Winston | Pino |
|---|---|---|---|
| Execution Flow Tracking | โ | โ | โ |
| Performance Bottleneck Alerts | โ | โ | โ |
| Conditional Logging Modes | โ | โ | โ |
| Auto-Remove Debug Logs in Prod | โ | โ | โ |
| Nested Logging | โ | โ | โ |
7. Success Metrics
๐ 1,000+ GitHub Stars within the first 3 months. ๐ Trending on GitHubโs JavaScript category. ๐ 10,000+ NPM downloads in 6 months. ๐ Adoption by 100+ companies or OSS projects.
8. Next Steps
- โ Finalize core library structure.
- โ Implement MVP features.
- โ Write documentation.
- ๐ Launch first beta version on NPM.
- ๐ Promote on Twitter, Dev.to, and Reddit.
๐ก Conclusion
TracePerf is a game-changer for Node.js developers who want structured, readable, and insightful logs without AI-powered debugging. Itโs lightweight, developer-friendly, and solves real debugging pain points.
Letโs build it! ๐
What's inside
8 sections: overview, objectives, features, technical requirements, milestones, competitive analysis, success metrics, next steps
Change this for your project
- Replace
traceperfwith your own package name inrequire('traceperf') - Replace
thelastbackspace/traceperfwith your own GitHub repo path - Replace
NODE_ENVwith your own environment variable name if different
Where it goes
Keep it in your repository where the agent or team that needs it will read it.
Worth borrowing
- Competitive analysis table comparing your tool against established alternatives
- Milestone phases that separate MVP from enhancements and launch activities
Related Documents
Project Requirements Document: Long Video Generation Pipeline
Breaks long video prompts into segments, generates keyframes and clips via local or remote models, then stitches them into a final video.
AGENTS.md โ ShakkaShell v2.0
Guides AI coding agents through building a CLI that translates natural language into offensive security commands, with a defined tech stack, structure, and implementation order.
SourceAtlas PRD v2.9.6
Defines the product requirements, architecture, and command interface for an AI-powered codebase understanding assistant integrated into Claude Code.
Fleet Management System - Product Requirements Document (PRD)
Defines functional, non-functional, and technical requirements for a fleet management system with compressed GPS tracking and predictive maintenance.