Document Docker Sandboxes comparison for box

[konard]

Fixes #86

Summary

• Adds docs/docker-sandboxes-comparison.md with a non-AI feature matrix comparing Docker Sandboxes against box and dind-box.
• Preserves issue research and metadata under docs/case-studies/issue-86/, including Docker Hub tag data, Docker repo metadata, code-search results, and the issue snapshot.
• Lists missing best practices, where box is better, solution plans, and existing components/libraries to evaluate.

Scope Notes

• AI-agent-specific Docker Sandboxes features are marked as excluded and are not treated as missing box requirements.
• No runtime image or CI behavior changes are included; this is documentation and research data only.

Validation

• Presence check for the comparison and case-study docs.
• JSON parse check for all preserved metadata files.
• Local markdown-link resolution check for the new docs.
• git diff --check.

[konard]

Working session summary

Implemented and pushed PR 87: #87

Added:

• docs/docker-sandboxes-comparison.md
• docs/case-studies/issue-86/CASE-STUDY.md
• docs/case-studies/issue-86/DATA-COLLECTION.md
• preserved Docker Hub/GitHub metadata under docs/case-studies/issue-86/data/

The PR is marked ready for review. Commit pushed: 949988dbed2523fa4d06bf0d4017f92aca8ecd32.

Validation passed:

• required docs presence check
• JSON parse check for preserved metadata
• local markdown link check
• git diff --check

CI passed for the latest commit: https://github.com/link-foundation/box/actions/runs/25636548238

Primary sources used: Docker Sandboxes product page, Docker Sandboxes docs, Docker Hub docker/sandbox-templates, docker/sbx-releases, and docker/sbx-kits-contrib.

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This summary was automatically extracted from the AI working session output.

[konard]

🤖 Solution Draft Log

This log file contains the complete execution trace of the AI solution draft process.

💰 Cost estimation:

• Model: GPT-5.5
• Provider: OpenAI
• Public pricing estimate: $11.316215

📊 Context and tokens usage:

• 331.3K / 1.1M (32%) input tokens, 37.2K / 128K (29%) output tokens

Total: (331.3K + 6.3M cached) input tokens, 37.2K output tokens, $11.316215 cost

🤖 Models used:

• Tool: OpenAI Codex
• Requested: gpt-5.5
• Model: GPT-5.5 (gpt-5.5)

📎 Log file uploaded as Repository (25995KB)

• View complete solution draft log

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Now working session is ended, feel free to review and add any feedback on the solution draft.

[konard]

🎉 Auto-merged

This pull request has been automatically merged by hive-mind.

• All CI checks have passed

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Auto-merged by hive-mind with --auto-merge flag