A walkthrough of a real session where two developers and their AI agent teams collaborated on a complex architectural change — going
from a rough spec to 8 PRs, 4,500 lines of code, and a clean task board in a single day.
The talk covers how we used git worktrees as a shared context surface between two developers' Claude Code agents, spawned specialist
subagents (including a Redis expert that caught two critical production bugs during design review), ran parallel implementation
across multiple branches, and coordinated via a dedicated agent that polled for commits and monitored Slack and CI.
The focus is on the collaboration model — not the technical feature itself — and what the human's role becomes when AI agents can
read, write, test, and coordinate autonomously.


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
Platform Sponsors

Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io

Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!
A walkthrough of a real session where two developers and their AI agent teams collaborated on a complex architectural change — going
from a rough spec to 8 PRs, 4,500 lines of code, and a clean task board in a single day.
The talk covers how we used git worktrees as a shared context surface between two developers' Claude Code agents, spawned specialist
subagents (including a Redis expert that caught two critical production bugs during design review), ran parallel implementation
across multiple branches, and coordinated via a dedicated agent that polled for commits and monitored Slack and CI.
The focus is on the collaboration model — not the technical feature itself — and what the human's role becomes when AI agents can
read, write, test, and coordinate autonomously.


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
Platform Sponsors

Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io

Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!
Get in touch!
hi@guild.host