Document competitor compatibility and implementation roadmap

[konard]

Summary

• add an auditable Redis, Memcached, and Dragonfly compatibility matrix
• distinguish semantic compatibility from client API and wire-protocol compatibility
• inventory current support and gaps across cache operations, data structures, persistence, scaling, operations, and protocols
• define six independently testable implementation phases, with explicit requirements for storage-mode and protocol conformance tests
• link the matrix from the package README and include it in the existing release changeset

Scope

Redis, Memcached, and Dragonfly are network services, while lino-cache is currently an embedded file-backed cache-manager store. The matrix avoids claiming drop-in or wire compatibility where none exists and establishes the checklist required to implement and verify competitor features incrementally.

References used:

• https://redis.io/docs/latest/commands/
• https://docs.memcached.org/protocols/
• https://www.dragonflydb.io/docs

Verification

• npm test — 30 tests passed
• npm run check — ESLint, Prettier, and duplication checks passed
• node scripts/validate-changeset.mjs — passed

Fixes #3

[konard]

Working session summary

Implemented and finalized PR #4.

Key changes:

• Added a Redis, Memcached, and Dragonfly compatibility matrix.
• Distinguished semantic, client API, and wire-protocol compatibility.
• Documented current gaps and a six-phase implementation roadmap.
• Linked the matrix from the README.
• Updated the release changeset.
• Marked the PR ready for review.

Verification:

• 30 local tests passed.
• Lint, Prettier, duplication, and changeset validation passed.
• Full CI passed across Node.js, Bun, and Deno on Linux, macOS, and Windows.
• Working tree is clean.

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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-5.6 Sol
• Provider: OpenAI
• Public pricing estimate: $2.467523

📊 Context and tokens usage:

• 68.1K / 200K (34%) input tokens, 7.8K / 128K (6%) output tokens

Total: (68.1K + 1.4M cached) input tokens, 7.8K output tokens, $2.467523 cost

🤖 Models used:

• Tool: OpenAI Codex
• Requested: gpt-5.6-sol
• Thinking level: medium (~15999 tokens)
• Model: GPT-5.6 Sol (gpt-5.6-sol)

📎 Log file uploaded as Gist (1069KB)

• 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]

✅ Ready to merge

This pull request is now ready to be merged:

• All CI checks have passed
• No merge conflicts
• No pending changes

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