Seven failures in 25 minutes where the same repository/config had snapshotted in ~27 seconds 90 minutes earlier is strong evidence that the failure is in source snapshot ingestion, before the build, rather than in the Dockerfile or runtime. A build/deploy change cannot fix a deployment that never leaves Initializing → Snapshot code.

I would preserve one failed ID and run one controlled source test instead of repeatedly redeploying:

1. Record the UTC window, the successful deployment ID/commit and all failed deployment IDs, source type (GitHub or CLI), repository root, archive size and file count. The provided failure a1bfad6e-8d1e-404f-9ec4-914e9b21de5e is the first correlation key for Railway staff.
2. If this is GitHub-sourced, use Command Palette → Deploy Latest Commit exactly once. Dashboard Redeploy reuses the same source snapshot; it is not a fresh source-ingestion test.
3. If it is CLI-sourced, retry from a clean checkout with the current CLI using railway up --verbose --json targeted to the exact project/environment/service. Railway documents that up creates and uploads a new archive, unlike redeploy. Save the final structured result and deployment URL, but do not publish project tokens or environment values.
4. Before that CLI control, make the upload deterministic: exclude caches, coverage, test artifacts and generated output in .railwayignore; keep node_modules and .git excluded; confirm the intended directory/root. A very large file count or changing generated tree can make the upload/snapshot path the differentiator even when app code is identical.
5. Interpret the result:
   • A fresh CLI archive succeeds while GitHub snapshotting fails: reconnect/repair the GitHub source after verifying branch and watch paths.
   • GitHub succeeds while CLI fails: preserve CLI version, archive size and verbose result for the upload/snapshot team.
   • Both fresh paths remain stuck in SNAPSHOT_CODE with empty build logs: stop retrying. That is a Railway initialization incident; ask staff to trace the snapshot operation for the deployment IDs and UTC window.

Do not delete the healthy active deployment or force a source switch until the control deployment reaches SUCCESS. This keeps production available and gives support an A/B result rather than seven equivalent failures.

Official references:

• https://docs.railway.com/cli/up
• https://docs.railway.com/cli/deploying
• https://docs.railway.com/deployments/github-autodeploys
• https://docs.railway.com/deployments/deployment-actions
• https://docs.railway.com/deployments/reference