Why scaling horizontally with cloud agents beats working locally
The goal is to be able to run as many agents as possible simultaneously without being bogged down on a laptop trying to figure out which code is colliding or which work tree you're on. All of that technical friction keeps you from shipping. Cloud-based agents like Devin solve this because the compute and state live in the cloud, not on your local machine. This is why roughly 50% of the work can even be done from a phone — you can check on a pull request, review it, or land it from a mobile browser while in the shower. The setup is simple: Slack for agent notifications, 1Password for keys, Devin in the browser, and Codex locally for desktop work.
Go deeper with Greg Isenberg
Ask anything about this, and Greg Isenberg answers from everything they've shared.
More to learn
See everything in Learn
MembersUsing AI agents to autonomously handle low-stakes email replies
There's a subset of emails that are low-stakes enough that you'd want an AI agent to not only draft a reply but, if it feels confident the situation isn't sensitive, just go ahead and respond automatically. Simple examples include inbound m
A CEO's AI-drafted board memo received the best investor feedback of his career
As a concrete illustration of AI-agent value, the speaker described a recent board memo he sent to his full board and major investor list. Much of the memo was researched and crafted by their AI agent (Hyper Agent), informed by his own inst
Small businesses are deploying AI agents faster than 50,000-person companies ever could
In Hyper Agent's early adoption base, small shops have become surprisingly sophisticated very quickly and are running their operations in genuinely game-changing ways. The reason is simple: a 50,000-person company can't pivot on a dime — th