Audience
Built for people who already hit the ceiling.
This is not an introduction to AI-assisted development. It assumes you are already running an agent every day, already know what it is good at, and are tired of doing it one window at a time.
Senior engineers
You already know exactly what needs doing in six different places in the codebase, and there is no good reason to do them one after another.
Technical founders
You are the whole engineering team, so parallelism is the only headcount available to you.
Small agency and product teams
You juggle several clients and several codebases, and the knowledge about each one currently lives in whoever touched it last.
Pattern one
The same change across eight repositories.
The work is mechanical, wide, and mind-numbing by hand. You write eight cards and get eight worktrees on eight branches running at once. Seven come back clean, and the eighth flags that the contract actually changed there, which is the one that needed you all along.
The failure mode this avoids: doing it serially, getting bored by the fourth, and getting sloppy by the sixth.
Pattern two
Inheriting something nobody wants to explain.
The first week in an unfamiliar repository is spent rediscovering things somebody already knew. Every session that learns a convention, hits a trap, or settles an argument writes it down, so week two starts where week one ended rather than back at the beginning.
For an agency this is the difference between a client codebase being expensive to touch and being routine.
You write, then you wait
One agent works while you watch it. Your throughput is capped by how fast a single session can think, and most of your day goes on reading a log.
You direct, then you review
Several sessions work while you decide. Your throughput is now capped by how fast you can review diffs, which is a far higher ceiling and a much better use of a senior engineer.
The reply you owe
It is drafted from the actual thread and the current state of the project, rather than from a blank prompt.
The proposal
You scope and specify the work with the codebase in reach, instead of reconstructing it from memory.
The security pass
A reviewer is dispatched at the diff, which is considerably cheaper than meeting the same problem as an incident.
The deployment
You run the last mile from the same board that produced the branch.
Honest limits
This is the wrong tool for some people.
Saying so upfront is cheaper for both of us than processing a refund later.
You are new to coding agents
Start with a single session and learn what it does well. Come back when one window has become the thing holding you up.
Your work is one deep thing at a time
Parallelism only pays off when there are several independent pieces of work. A single hard problem does not split across agents.
You will not review the diffs
More agents producing branches nobody reads is worse than one agent you were actually watching.