Developer Environment Automation — @dev-environment-automation

Every team knows its real onboarding time: the days a new engineer spends assembling a working environment from a stale wiki page and folklore, and the recurring hours everyone else loses to works-on-my-machine drift. The Developer Environment Automation sprint eliminates the assembly: environments defined as code — dev containers, Nix, or cloud development environments per your constraints — brought up with one command, seeded with the services and data a real task needs.

The finish state is measured the honest way: a new starter, or a wiped machine, goes from checkout to running stack and a merged first change inside a day, and the setup wiki page is deleted because the definition in the repo replaced it.

Environment-as-Code Definition

The full toolchain, services, and configuration captured declaratively in the repo — versioned with the code it serves, so environment changes review and roll back like any change.

One-Command Setup

A single entry point that brings up the stack locally or in a remote environment — with clear failure messages for the cases automation cannot absorb, like credentials.

Dependency & Data Seeding

Dependent services, fixtures, and realistic seed data provisioned automatically — so the environment supports real work, not just a compiling build.

Drift Prevention & Upkeep

Environment definitions validated in CI, update flows when dependencies change, and parity checks that keep local, remote, and CI environments aligned.

1. Scope — Time the current setup, inventory the stack, and fix the approach — local, remote, or hybrid — and the target setup time.
2. Build — Build the definitions, setup path, and seeding; test with clean machines and a pilot group of engineers.
3. Handover — Roll out to the full team, wire CI validation, and hand over the maintenance conventions.

The Developer Environment Automation is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

Local machines or cloud development environments?

Both are in reach — dev containers and Nix for local, Codespaces-style remote environments where machines, data rules, or onboarding scale favor them. Scoping picks per your security and cost constraints.

Our stack has services we cannot run locally — does this still work?

Yes: the definition mixes local services with shared or mocked remote dependencies explicitly, which beats the implicit version of the same thing every engineer currently maintains alone.

Who maintains the definitions afterwards?

Your team, as part of normal changes — CI validation makes a broken definition a failed build, not a surprise for the next starter. Staging and production environment consistency is the separate Environment Standardization Package.