Why It Matters
By enabling dozens of cloud‑native AI agents to operate on code reviews, testing and deployment, developers can accelerate delivery cycles and reduce manual overhead, reshaping modern software engineering workflows.
Key Takeaways
- •Warp’s new agents feature enables cloud‑scaled AI agents.
- •Users can spin up dozens of agents per pull request.
- •Agents run in Docker environments with GitHub, Slack, Linear integrations.
- •Warp auto-detects commands vs natural language, simplifying workflow.
- •Free tier plus 1,000 AI credits via referral link.
Summary
In the video the creator walks through how to run multiple AI agents simultaneously in the cloud using Warp, a “genetic development environment” that blends a terminal UI with AI‑agent management.
He shows that Warp’s new agents feature, backed by AWS, lets users launch anywhere from five to twenty agents on demand, each housed in its own Docker container, linked to specific GitHub repositories and equipped with custom skills such as front‑end validation or back‑end testing. The platform also supports scheduling, SSH access to live sessions, and triggers from Slack, Linear or GitHub Actions.
A key demonstration is the “agent on every pull request” workflow, where a GitHub Action automatically spins up an agent to review code, generate specs, scaffold directories, and commit changes. He highlights the natural‑language command detection—typing “AWS login” or “create a new environment” is interpreted as an agent instruction—and the ability to intervene with Ctrl‑Shift‑Enter.
For development teams, this means parallelizing repetitive tasks, cutting down the traditional back‑and‑forth between a single local agent and the codebase, and scaling AI assistance without provisioning local hardware. The free tier and referral credits lower the barrier to experiment, signaling a shift toward AI‑orchestrated DevOps pipelines.
Original Description
Try Warp Build today and get an extra 1000 Oz credits. ➞ https://oz.dev/timyt
In this video, I'll show you how to run multiple AI agents simultaneously in the cloud. When you're working on complex development tasks, we've all heard about AI agents. Now we're usually using one, maybe two locally on our own computer. But what happens when you want to spin up 5, 10, 15, 20 right where you want an agent to run on every pull request or, you know, in any Slack message? It's exactly what I'm going to show you how to do here using something called Warp.
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⏳ Timestamps ⏳
00:00 | Overview
00:28 | What is Warp
01:06 | Oz Agent Platform
02:45 | Warp Project Setup
05:41 | Oz Setup
06:25 | GitHub MCP Server
07:04 | Creating a Plan/Spec
08:00 | Project Scaffold
08:52 | Creating an Agent Environment
10:17 | Initializing the Codebase
11:15 | Running Agents Locally
13:00 | Running Agents in the Cloud
18:05 | Agents in GitHub Actions
Hashtags
#Warp #WarpOz #SoftwareEngineer
UAE Media License Number: 3635141
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