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)
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:
š ļø 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
š§ 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 ā 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 ā from JSON schemas to content filtering
And other topics within core theme of the group
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)
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:
š ļø 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
š§ 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 ā 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 ā from JSON schemas to content filtering
And other topics within core theme of the group
Get in touch!
hi@guild.host