London GraphQL
Welcome to the London GraphQL community! Meet quarterly with fellow developers and companies in the GraphQL space and stay up to date with the latest developments, trends and lessons from the GraphQL community!
Interested in speaking? Apply here: http://tinyurl.com/londongraphqlcfp
GraphQL Foundation
The GraphQL Foundation is a neutral foundation founded by global technology and application development companies. The GraphQL Foundation encourages contributions, stewardship, and a shared investment from a broad group in vendor-neutral events, documentation, tools, and support for GraphQL.
GraphQL was created in 2012 and open-sourced by Facebook in 2015. In 2019, Facebook and others created the GraphQL Foundation as a neutral, non-profit home for the GraphQL assets and ongoing collaboration, and hosted by The Linux Foundation. The GraphQL Foundation is a fully neutral home for the GraphQL trademark, and provides a means of collecting and distributing membership dues to support core community infrastructure and programs.
AI Native Engineers London
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 PatternsLearn 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 filteringAnd other topics within core theme of the group
London GraphQL
Welcome to the London GraphQL community! Meet quarterly with fellow developers and companies in the GraphQL space and stay up to date with the latest developments, trends and lessons from the GraphQL community!
Interested in speaking? Apply here: http://tinyurl.com/londongraphqlcfp
GraphQL Foundation
The GraphQL Foundation is a neutral foundation founded by global technology and application development companies. The GraphQL Foundation encourages contributions, stewardship, and a shared investment from a broad group in vendor-neutral events, documentation, tools, and support for GraphQL.
GraphQL was created in 2012 and open-sourced by Facebook in 2015. In 2019, Facebook and others created the GraphQL Foundation as a neutral, non-profit home for the GraphQL assets and ongoing collaboration, and hosted by The Linux Foundation. The GraphQL Foundation is a fully neutral home for the GraphQL trademark, and provides a means of collecting and distributing membership dues to support core community infrastructure and programs.
AI Native Engineers London
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 PatternsLearn 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 filteringAnd other topics within core theme of the group
Get in touch!
hi@guild.host