Local-first Software London is a community organising in-person events for those interested in “local-first” software, and other associated technologies, such as CRDTs and real-time multiplayer.

Anyone is welcome to join, our meet-ups are free and a great way to meet and share ideas with people interested in local-first.

To learn more about local-first software a good starting place is the Ink & Switch paper, the Lo-fi community and this Introduction to local-first guide.

Civic Tech Toronto is a vibrant and diverse community of Torontonians engaged in understanding and creating solutions for civic challenges through technology, design, and other innovative means.

We meet every Tuesday to work on projects, hear from thoughtful speakers, and connect with others who care about how technology can improve our communities.

You don’t need to be in tech to join us—everyone’s welcome, no matter your background or experience.

Our events are hybrid: join us in person or online.

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