The AI powered 10x developer
In the fast-paced world of software development, AI tools like Cursor and Qodo are game-changers for building features and boosting productivity. This talk dives into real-life examples of how these tools can fit right into your daily routine, taking care of repetitive tasks, fine-tuning your code, or even building the whole feature for you end to end by an AI agent. By tackling the common struggle of time crunches, these tools help you become a 10x more productive developer. You'll walk away with practical tips and strategies to instantly up your efficiency and teamwork, giving you a fresh take on using AI to tackle everyday coding challenges. Ready to tap into AI's full potential and redefine what it means to be productive in development?
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