Canonical: https://hypler.com/wiki/repository-workflow

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# Repository Workflow Is a Form of Risk Control

A repository workflow makes ownership, contracts, validation, and unrelated work visible before a source change becomes hard to unwind.

## Start with source truth

Before implementation, inspect the current branch, working tree, relevant instructions, and the files nearest to the requested behavior. This is not a ritual. It reveals whether another person has active edits, whether a route or component already has a local pattern, and whether a change belongs in a different layer than first assumed.

Record evidence at the level it verifies: type checks for compilation, deployment receipts for releases, source timestamps for data freshness, and approval records for authorized actions. A handoff should link each result to its relevant check.

- Confirm the exact file boundary before editing.
- Read the existing contract and nearby tests before changing behavior.
- Treat generated output and production state as separate evidence.

## Make changes reviewable

Small, coherent changes are easier to reason about than broad rewrites. A reviewer can compare the new behavior with the stated intent, inspect error paths, and see whether validation covers the risk introduced. This does not mean every change must be tiny; it means the scope should be explicit enough that reviewers can identify what is intentionally out of bounds.

A useful review packet includes the problem being solved, exact changed paths, named checks, and remaining uncertainty. It does not need a transcript of every command. The point is to preserve decision context so the next person can understand why the change exists.

- Keep unrelated formatting and metadata churn out of a focused change.
- Name assumptions that could alter the implementation or release decision.
- Use independent review when behavior or public contracts change materially.

## Validation has a boundary too

Different checks answer different questions. Type checking finds type-level inconsistencies. Unit tests exercise selected behavior. Browser checks reveal layout and interaction issues. A deployment smoke check may establish that a specific deployed route responds. None should be reported as broader proof than it provides.

This vocabulary protects teams from accidental escalation. A source-only task can deliver a source-only result with a clear next validation step, rather than implying that an unapproved deploy or external integration has occurred.

## Sources

- [Hypler approach](https://hypler.com/approach)

## Related capabilities

- [Platform engineering and reliability](https://hypler.com/platform-engineering)