Build every target framework in one parallel call

Hand all target frameworks to the build tool at once so they build in parallel.

Prompt

Evaluate and apply this CI technique to my repository: Build every target framework in one parallel call.

Hand all target frameworks to the build tool at once so they build in parallel.

Read the technique and its source-backed company examples: https://starsling.dev/ci-playbooks/techniques/parallel-build-targets.md

Inspect this repository’s CI workflows, build and test commands, dependencies, and recent run timings. Identify where this technique applies and explain the expected benefit using this repository’s evidence.
Measure a baseline from recent comparable runs: elapsed time, queue time, runner minutes and failures where available. If data is unavailable, say what cannot be measured.
Compare relevant company approaches, checking prerequisites, platform differences and tradeoffs. Rank applicable options by evidence, fit and measurable opportunity; do not present company results as predictions for this repo.
Recommend the smallest safe change, show what checks and fallback paths remain, and ASK ME WHICH CHANGE TO APPROVE BEFORE EDITING ANY FILES.
Only after approval, work on a new feature branch, make one reversible change, and open a reviewable pull request. Never merge or push to a default or protected branch.
Keep required checks, test coverage, deployment and release behavior intact. Validate the change and compare equivalent runs where possible; report limitations and what should be monitored after merge.

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How OpenAI used this technique

Read what OpenAI changed and follow the original sources.

Build every target framework in one parallel call

The .NET SDK's API export ran one MSBuild call per target framework in sequence. It now passes every framework to a single MSBuild invocation with BuildInParallel, and the export script adds -m.

API export builds every target framework in one parallel MSBuild call Source

Use it when: A build step builds several target frameworks or configurations one after another.
Before applying it: Parallel builds use more memory and CPU at once; confirm every target's output is identical.

How OpenAI used this technique

Build every target framework in one parallel call

Company Playbooks