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Automate native compiler PGO profile generation - #177
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PGO training needs a repeatable home outside a developer workstation. Reuse benchmark setup in a manually dispatched workflow so compiler revisions can be trained on the same corpus and produce a downloadable profile with enough provenance to reproduce the inputs. Keep diagnostic reporting disabled to avoid profiling forced garbage collections, and retain an independent XState evaluation holdout.
Automated training should follow the existing benchmark scenarios, not the extra workload and holdout choices from the local experiment. Keep the workflow free of historical commentary and unrelated README changes.
Profile generation does not need a second compilation, output comparisons, or a separate artifact-verification framework. Keep only the benchmark invocation and failure checks; build the seed and merge profiles directly in the workflow.
A hand-maintained scenario list drifts as benchmarks are added or removed. Training on the same compiler scenarios that the perf bot measures keeps the profile representative without extra upkeep.
Profiling forces incremental off so every run does a full compile, but composite projects reject that combination with a config error and never type-check or emit. Turning composite off alongside it lets composite scenarios such as strada-compiler compile normally.
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