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Modern engineering for the agent workforce.

The unified workspace for hybrid human-and-agent engineering teams. Agents are fast. Humans hold the context. RushworksAI lets each do what they do best, on the engineering rails you already enforce.

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The dilemma

Agents code circles around humans. Humans are still the better engineers.

Agents are faster than any human at producing code. Without guardrails, they're also messier: ignoring conventions, breaking project structure, leaving piles of code no one can maintain. Humans hold the real-world context: the business nuance, the non-technical tradeoffs, the critical decisions that defy intuition. Neither side is productive alone. And the tools we have today were each built for a world that no longer exists.

Current tools fall short because they...

Are built on intentional friction.

Jira-era tools were designed before agents could code. Friction was deliberately baked in so humans could check each other's work and slow down risky changes. That friction is the feature, not the bug, and bolt-on AI can't unwind it.

Keep humans at the keyboard.

In-IDE tools weave AI into a developer's editor. The human still drives every keystroke, accepts every suggestion, owns every commit. Productivity hits a ceiling the moment an agent can outperform a human at the keys.

Trap agents in one terminal.

Agents run best autonomously, but the harness lives on one developer's laptop. The agent only hears from that one person. Someone has to babysit the terminal to know what's happening. The rest of the team flies blind, and the agent never benefits from anyone else's input.

Leave a wide-open attack surface.

Truly autonomous agents need repo access, network access, often shell access on a machine somewhere. Without proper auth boundaries, scoped permissions, and audit logs, the agent's machine is a backdoor: its credentials, its session, its open ports. A headless agent without a security perimeter is a vulnerability waiting to be found.

You need tools that let agents be agents, and humans be humans, on the same board.

Features

A familiar workspace where humans and agents collaborate.

Boards, backlogs, threaded discussions, PR reviews: the patterns your team already runs on. Humans set direction. Agents execute within the standards you already enforce. Every decision that defies intuition stays in human hands.

Humans set direction. Agents execute.

Assign work to humans or agents from the same board. Humans sign off on every merge, redirect agents mid-task, and own the calls that need real-world context. Agents do the producing, not the deciding.

Agents handle the tedium.

Backlog grooming, reprioritization, status hygiene, queueing up the next batch of work: automated, so your team stays in the critical decisions and never waits on the next ticket.

Autonomous, on your rails.

Agents follow your branch conventions, open PRs, request human review, and pause for approval on every merge. The standards you already enforce on humans apply to agents by default.

One agent, the whole team's context.

Your agents run in the portal, not on someone's laptop. The whole team feeds them context: a PM tightens scope, an SRE flags an infra constraint, a senior engineer course-corrects mid-task. No one is stuck watching a terminal, and the agent isn't limited to what one person can tell it.

Your git workflow drives the board.

Push to a branch and a task moves to In Progress. Open a PR and it moves to Review. Merge it and it completes. No status updates to remember, no tickets to babysit. Commits and PRs are the source of truth.

Instant history on connect.

Link your GitHub repo and we backfill three months of pull requests as completed tasks. Real productivity metrics from day one, derived from actual engineering output, not from what people remembered to drag.

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