Javascript evolution has sped up (a lot) in recent years and event the most veterans developers find it hard to keep up with the latest trends. This meetup group aims to bring you monthly bite-sized updates on the world of Javascript along with a healthy dose of nice people, beer and pizza.

• Please use your full name when registering, as some of our venues require a full list of attendees beforehand. You have an idea and you want to be a speaker?

We are always looking for more speakers - submit your talk here (https://docs.google.com/forms/d/e/1FAIpQLSdFaatfveOUbrmer47jYb5J4J4ttxAFc1CgTjUDltBXmDOJmg/viewform)

Move Fast and Break Nothing.
End-to-end typesafe APIs made easy.

Join our Guild to keep up with Events and Presentations about tRPC!

React Advanced London is a community organizing quarterly in-person events and an annual hybrid conference in October.

Engineers of all levels are welcome to join, our meetups are always free to attend and a great place to meet other likeminded people and share some insights about your work and experience from the stage.

Contact email: hi@reactadvanced.com

Want to give a talk at our next meetup? We welcome talk ranging from 5 to 20 min length on any topic related to React and/or React Native, submit them here and we'll be in touch https://forms.gle/rCiQ8Y4jajiC8AHMA

Venue proposal from: https://shorturl.at/FOT34

By joining this group you agree to comply to our Code of Conduct

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

• Code generation with Claude Code, GitHub Copilot, Cursor, and emerging tools
• Automated code reviews, refactoring, and documentation generation
• Test generation and intelligent debugging assistance
• Building with MCP servers, LangGraph, CrewAI, and agent orchestration frameworks
• Smart monitoring, alerting, and root cause analysis
• Self-healing systems and automated incident response

🔧 Practical LLM Integration Patterns

Learn proven patterns for adding AI capabilities to your applications without complexity:

Core Integration Patterns

• RAG (Retrieval-Augmented Generation): Connect LLMs to your databases and documentation to answer questions using your own data — no model training required
• LLM optimizations
• Prompt Templates & Chaining: Structure prompts for consistent outputs and chain multiple AI calls for complex tasks
• Input/Output Validation: Add guardrails to ensure AI responses meet your requirements — from JSON schemas to content filtering

And other topics within core theme of the group