The job is changing. Fast.
The Diagnosis
AI coding tools shipped. Teams adopted them faster than any software tooling wave in memory. And now the center of gravity is moving again.
Our careers are collapsing into one core capability: managing AI agents. By the end of this year, most software execution will run through agents, not humans typing every line.
Our job is becoming definition: define what good looks like, define outcomes, and define what customers actually want. That is where the leverage lives. Not in prompt babysitting.
Today’s tooling still forces teams into context-copying, manual supervision, and fragmented agents. You should be directing outcomes, not acting as the integration layer.
What We Believe
Careers are converging on agent management.
The highest-leverage engineer is no longer the person who writes the most lines of code. It’s the person who can manage agents, set direction, and keep the system aligned.
Execution is becoming automated.
Agents are already handling implementation, testing, and iteration loops. This trend is accelerating. The question is no longer whether agents will execute software work. It’s whether your team can manage that execution.
Defining outcomes is the new engineering superpower.
Winning teams define success criteria, constraints, and customer outcomes with precision. Agents execute the work. Humans define the target.
Trust is still the product.
If you can’t inspect what agents changed and why, you can’t ship confidently. Receipts, traces, and review loops are not add-ons. They are the operating standard.
The Vision
Monday morning: you define the outcome, the quality bar, and the customer constraint. Then you deploy agents against the backlog. By lunch, you have pull requests with traces, tests, and review loops already in place.
You are not a prompt operator. You are the outcome owner.
Squad is the platform for managing your AI agents. Not another chat wrapper. Not another context window. Infrastructure for teams that define outcomes clearly and let coordinated agents execute with trust and accountability.
The future of engineering is outcome-first leadership over coordinated AI execution. Teams that manage agents well will out-ship teams that manage prompts.
We’re building it. Join us.