AI Engineer World's Fair 2026 — unofficial import demo

For a solo developer, coding agents are a superpower. For a team, they surface new kinds of bottlenecks: coordination, visibility, review, and shared context.

We wanted our whole team and our best agents to work together, with no work or context trapped on any one developer's machine. So we pressed pause on the product we were building to create a multiplayer cloud workspace for agentic engineering.

This talk shares five key practices we've learned from building and using our platform:

Turn every surface the team uses into an agent interface.
Kick off sessions from Slack, review via iOS app, iterate in GitHub comments, ship from web. Agents run in the cloud, so work keeps moving even when your laptop is closed.

Make agent work visible and collaborative across the whole team.
Every agent session is shared, has a live app preview, and an agent-guided code review. This allows engineers, PMs, and designers to steer and evaluate agent work collaboratively.

Turn every external signal into shipped code your team can quickly evaluate.
Automatically turn customer emails, meeting action items, and bug reports into agent implementations that the whole team can review.

Set up shared cloud dev environments so agents aren't siloed to individual machines.
Secrets, role-based access, and network controls shared across the whole team. Fast environment startup, so you're not giving up speed by moving off local.

Benchmark agents on your own codebase.
Claude Code, Codex, Gemini, Amp, OpenCode — how do you know which is actually better on your stack? We'll cover using your merged PRs as ground truth to build a "Personal SWE-Bench" for your codebase.

Agentic engineering is going multiplayer. This is how your team gets there.