PATTERN Cited by 1 source

Local dev loop with remote parity

Description

Provide developers with local build and test environments that mirror the remote production build environment, so iteration happens locally at high speed while the repository and CI pipeline are reserved for promotion and peer review — not micro-iteration.

The key insight: if every iteration requires a remote CI round-trip, the feedback loop is too slow for ML experimentation. But if local builds don't match remote environments, "works on my machine" failures compound.

Mechanics

1. Local builds execute in dedicated environments (e.g., Remote Developer Environments / RDEs)
2. Single command triggers build + test matching production environment
3. Python module builds: minutes → <30 seconds locally
4. Docker builds: similar gains
5. Repository pushes reserved for peer review and promotion

Seen In

• sources/2026-06-10-atlassian-architecting-scalable-ml-platforms — ML Studio: Python module builds under 30 seconds locally (down from minutes); local builds now represent a large share of daily builds, saving thousands of developer minutes per week

(Source: sources/2026-06-10-atlassian-architecting-scalable-ml-platforms)