With everything moving to the cloud, why haven’t our development environments? In fact, they already have!

With CDEs (Cloud Development Environments) you get all the power of the cloud: elasticity, scale and security, but for your dev environment.

Gitpod’s “Dedicated” deployment model enables companies sensitive code and access to never leave their cloud account perimiter.

Building on Jim’s intro to CodeWhisperer, Lou will give a 101 on CDEs and how architectural deployment models like Gitpod Dedicated can accelerate the adoption of Generative AI in an organisational setting by resolving many of the security, audit, privacy and data concerns.

Join us also after the talk to dig into the intersection of CDEs and Generative AI over a drink or two!

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.

Welcome to an exploration how generative AI impacts development (frontend, backend, mobile) trends, tooling and practices -- concluding with recommendations for individuals, teams and businesses on how to cope and thrive in this new world.

AI coding agents feel like magic... right up until they collide with production code.

For teams maintaining legacy systems, these agents often hallucinate APIs, run off on tangents, and shatter trust faster than an unreviewed hotfix at 5pm. Ignoring the past won't save us, because new code becomes old!

We can do better, and we will. In this session we'll go over emerging strategies for improving the accuracy of coding agents on real codebases, benchmarks such as SWE-bench that evaluate our progress, and their limitations. Expect to walk away with actionable techniques and a renewed respect for code that came before us and the challenges ahead.