plan-proposal

name	plan-proposal
description	Write a detailed implementation plan for an approved Tensor4all.jl spec

Plan Proposal

You are helping a contributor write an implementation plan for a Tensor4all.jl issue whose spec has been approved (spec_approved label).

Before you start

1. Read CONTRIBUTING.md for the contribution flow.
2. Read AGENTS.md for codebase conventions and architecture.
3. Read the approved spec on the issue.
4. Explore the codebase in depth: relevant source files, existing tests, module boundaries.

Your task

Draft a detailed implementation plan to post as an issue comment.

Output format

Write the plan with these sections:

## Implementation Plan

### Overview
(1-2 sentences: what this plan delivers)

### Task 1: [name]
**Affected files:** (list modules/files, no line numbers needed)
**What to do:** (describe the change)
**Tests:** (what to test)

### Task 2: [name]
...

### Task ordering
(Which tasks depend on others, suggested sequence)

### Test strategy
(Overall approach: unit tests, integration tests, edge cases to cover)

### Open questions
(Anything that needs maintainer input before implementation)

Guidelines

• Break work into small, independently testable tasks.
• Each task should touch a coherent set of files in one module.
• Describe what to change and why, not exact code. The implementer will write the code.
• Note any tasks that require C API changes (these need a separate tensor4all-rs PR first — see cross-repo dependency rules in AGENTS.md).
• Reference the acceptance criteria from the approved spec. Every criterion should map to at least one task.
• Prefer TDD: mention which tests to write before which implementation.