Your Node.js app is bleeding memory and users are hitting OOM errors in production. In this talk, I'll walk through a real debugging story on Cloudflare, how I used Claude Code and the Chrome DevTools MCP to automate the entire investigation loop. What used to take days of manual profiling became a tight, automated feedback loop. Heap today, gone tomorrow.
Jan Peer https://www.linkedin.com/in/jpeer/


Practical AI for Software Engineers - dev tools in SDLC, core patterns for LLM implementation
AI for Engineers London is a community for software engineers who want to harness AI to build better software, faster.
We focus on the engineering side of AI, not ML/data science, sharing battle-tested approaches, practical tools, and proven patterns that transform how you write, test, deploy, and maintain code today.
Join us for monthly meetups featuring live demos, case studies from London tech companies.
For collaborations, reach events@gitnation.org
Topics covered:
🛠️ AI-Enhanced Development & Delivery
Development Acceleration
🔧 Practical LLM Integration Patterns
Learn proven patterns for adding AI capabilities to your applications without complexity:
Core Integration Patterns
And other topics within core theme of the group
What You'll Learn:
Event Loop Optimization & Performance - Understand how the event loop really works and learn Matteo Collina's proven techniques for preventing blocking operations. We'll explore the perf_hooks module for identifying performance bottlenecks, plus practical strategies for handling CPU-intensive tasks without freezing your application.
Strategic Caching Patterns - Implement multi-layered caching strategies using Redis, in-memory stores, and HTTP caching headers. Learn when to cache, what to cache, and how to invalidate cache effectively in distributed systems.
Promise Pitfalls & Alternatives - Discover when promises become performance liabilities and explore alternatives like streams and async iterators. We'll cover memory management and the hidden costs of promise chains in high-throughput scenarios.
Worker Threads & Multithreading - Master Node.js worker threads for CPU-bound tasks, following best practices for thread pool management and data sharing. Learn when to use worker threads versus child processes, and how to architect applications that leverage multiple cores effectively.
Production Metrics & Monitoring - Implement comprehensive application metrics using Prometheus and learn to instrument your code for meaningful observability. We'll cover custom metrics, histograms, and performance-tracking patterns used in production environments.
OpenTelemetry Integration - Setup distributed tracing with OpenTelemetry to track requests across microservices. Learn to integrate with distributed systems while maintaining performance and gaining deep insights into your application's behavior through standardized telemetry collection.
By the end of this workshop, you'll have the tools and knowledge to build Node.js applications that perform well under pressure, scale horizontally, and provide the observability needed for production operations.
Prerequisites: Solid understanding of JavaScript, Node.js fundamentals, and basic async/await patterns.
Platform Sponsors

Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io

Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!
Your Node.js app is bleeding memory and users are hitting OOM errors in production. In this talk, I'll walk through a real debugging story on Cloudflare, how I used Claude Code and the Chrome DevTools MCP to automate the entire investigation loop. What used to take days of manual profiling became a tight, automated feedback loop. Heap today, gone tomorrow.
Jan Peer https://www.linkedin.com/in/jpeer/


Practical AI for Software Engineers - dev tools in SDLC, core patterns for LLM implementation
AI for Engineers London is a community for software engineers who want to harness AI to build better software, faster.
We focus on the engineering side of AI, not ML/data science, sharing battle-tested approaches, practical tools, and proven patterns that transform how you write, test, deploy, and maintain code today.
Join us for monthly meetups featuring live demos, case studies from London tech companies.
For collaborations, reach events@gitnation.org
Topics covered:
🛠️ AI-Enhanced Development & Delivery
Development Acceleration
🔧 Practical LLM Integration Patterns
Learn proven patterns for adding AI capabilities to your applications without complexity:
Core Integration Patterns
And other topics within core theme of the group
What You'll Learn:
Event Loop Optimization & Performance - Understand how the event loop really works and learn Matteo Collina's proven techniques for preventing blocking operations. We'll explore the perf_hooks module for identifying performance bottlenecks, plus practical strategies for handling CPU-intensive tasks without freezing your application.
Strategic Caching Patterns - Implement multi-layered caching strategies using Redis, in-memory stores, and HTTP caching headers. Learn when to cache, what to cache, and how to invalidate cache effectively in distributed systems.
Promise Pitfalls & Alternatives - Discover when promises become performance liabilities and explore alternatives like streams and async iterators. We'll cover memory management and the hidden costs of promise chains in high-throughput scenarios.
Worker Threads & Multithreading - Master Node.js worker threads for CPU-bound tasks, following best practices for thread pool management and data sharing. Learn when to use worker threads versus child processes, and how to architect applications that leverage multiple cores effectively.
Production Metrics & Monitoring - Implement comprehensive application metrics using Prometheus and learn to instrument your code for meaningful observability. We'll cover custom metrics, histograms, and performance-tracking patterns used in production environments.
OpenTelemetry Integration - Setup distributed tracing with OpenTelemetry to track requests across microservices. Learn to integrate with distributed systems while maintaining performance and gaining deep insights into your application's behavior through standardized telemetry collection.
By the end of this workshop, you'll have the tools and knowledge to build Node.js applications that perform well under pressure, scale horizontally, and provide the observability needed for production operations.
Prerequisites: Solid understanding of JavaScript, Node.js fundamentals, and basic async/await patterns.
Platform Sponsors

Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io

Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!
Get in touch!
hi@guild.host