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GUIDED VALIDATION BRIEF

feat(storage): implement versioned checksum-backed offline and online migration

Evidence observed in jmagly/aiwg, a Coding project.

5 comments0 positive reactions32 days openProject Radar 82
enhancementP0-criticaltestingconstructionblocked
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DEMAND CONFIDENCE

SUPPORTED ISSUE

This Issue has some independent public support. Treat it as a focused validation lead, not proof of a market.

Project strength and demand confidence are measured separately.
SOURCE EVIDENCE

Start with what users actually said

Reporter context: Parent: #2187 Depends on: scalable backend contract Related: #955 Problem aiwg storage migrate enumerates once, copies serially, and marks a pathname complete after destination.write(). Its receipt has no source version/digest or destination committed version. A changed path is skipped on rerun; deletes are not…Excerpted from the public Issue. Read the complete thread before interpreting it.

Read original GitHub Issue ↗
CODING VALIDATION LENS

Recruit: Recruit contributors who can replay the problem in a representative repository and development environment.

Guardrail: Use a fixed test case and compare completion, regressions and recovery against the unchanged baseline.

01 · Retrieval & knowledge quality

Write the problem hypothesis

For [user], the agent loses or retrieves [information] incorrectly across [scope], causing [wrong action or repeated work].

You can name one user, one situation and one measurable consequence without proposing a feature.
02 · EVIDENCE INTERVIEW

Interview five developers or engineering leads

  • Which information must persist?
  • For how long and within what scope?
  • Show the last wrong or missing recall.
  • What data must never cross boundaries?
  • How do you correct memory today?
At least three people independently describe the same painful workflow with recent examples.
03 · MINIMUM TEST

Run the smallest experiment

Test one constrained memory scope with a small real dataset and a written expected-recall benchmark.

The system retrieves the right evidence across repeated sessions without leaking or inventing context.Use a fixed test case and compare completion, regressions and recovery against the unchanged baseline.
04 · DECISION GATE

Make a build decision

  • Build: repeated pain and active commitment
  • Narrow: pain is real but the audience or job differs
  • Stop: weak frequency or no behavioral proof
Do not let GitHub engagement replace direct validation.

Why this brief exists

Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.