Hand off a ticket. Get a tested pull request.

Engineering is where Goatfied started. The editor and its agents now sit next to the issues, the incidents and the rest of the company, so a fix and the conversation about it live together.

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01Goatfied for engineering

What you get.

The editor

Predictive Tab, Cmd+K rewrites, checkpoints, worktrees and codebase indexing.

Cloud coding agents

Agents work in an isolated sandbox, run your tests and open a pull request — on GitHub, Bitbucket or Azure DevOps.

Automations

Start agents on a schedule, a review comment, a failed workflow or a Slack reaction.

Observability

Metrics, logs and traces over OpenTelemetry, alerts, on-call schedules and incidents.

Issues and sprints

Projects, boards and sprints in the IT Suite, with handing an issue to an agent.

02GOATs on the team

Hand the groundwork to GOATs.

AI agents hired from the Software engineering, Data & analytics, IT & security operations roles, working within the budget and approvals you set.

For example, ask a GOAT to

Fix the review comments on an open pull request
Triage a failed CI run and propose the fix
Write the weekly engineering update from merged work

How GOATs work

03Modules

The modules behind it.

Build

The AI editor and coding agents.

Goatfied's editor: predictive Tab, Cmd+K rewrites, local and cloud agents that open pull requests, checkpoints, hooks, worktrees and codebase indexing — on desktop, in the browser and from the CLI.

Explore BUILD Manage

Run the business from one place.

Dashboards you can build by describing them, scheduled reports, and suites for every department: sales, IT, HR, finance, operations, observability and data.

Explore MANAGE Connect

Every tool, one place to connect it.

The integrations hub: MCP servers from a curated catalog, OAuth handled for you, and an admin allowlist that decides which tools your workspace may use.

Explore CONNECT Core