whispem

Hi! Thank you so much for sharing asm.fm

Yes, in minikv, I set up GitHub Actions for automated CI. Every push or PR triggers tests, lint, and various integration checks — with a typical runtime of 20–60 seconds for the core suite (thanks to Rust’s speed and caching). This means that after a commit, I get feedback almost instantly: if a job fails, I see the logs and errors within half a minute, and if there’s a fix needed, I can push a change right away.

Rapid CI is essential for catching bugs early, allowing fast iteration and a healthy contribution workflow. I sometimes use small, continuous commits (“commit, push, fix, repeat”) during intense development or when onboarding new features, and the fast CI loop helps maintain momentum and confidence in code quality.

If you’re curious about the setup, it’s all described in LEARNING.md and visible in the repo’s .github/workflows/ scripts!

minikv actually supports a fully S3-compatible API (PUT/GET/BATCH, including TTL extensions and real-time notifications). By default, the storage engine is segmented/append-only with object records in blob files, not “one file per object”. However, you can configure a backend (like the in-memory mode for dev/test, or Sled/RocksDB) and get predictable, transparent storage behavior for objects. Storing each object as an individual file isn’t the default — for durability and atomics, objects are grouped inside segment files to enable fast compaction, consistent snapshots, and better I/O performance.

If you need “one file per object” for a specific workflow, it’s possible to add a custom backend or tweak volume logic — but as you noted, most production systems move away from that model for robustness. That said, minikv’s flexible storage API makes experimentation possible if that’s what your use-case demands and you’re fine with the trade-offs.

Let me know what your usage scenario is, and I can advise on config or feature options!

Yes, I do split my working tree into separate commits whenever possible! I use interactive staging (git add -p) to split logical chunks: features, fixes, cleanups, and documentation are committed separately for clarity. Early in the project (lots of exploratory commits), some changes were more monolithic, but as minikv matured, I've prioritized clean commit history to make code review and future changes easier. Always happy to get workflow tips — I want the repo to be easy to follow for contributors!

Absolutely: for all meaningful work I prefer small, logical commits using git add -p or similar, both for history clarity and for reviewer sanity. In initial “spike” or hack sessions (see early commits :)), it’s sometimes more monolithic, but as the codebase stabilized I refactored to have tidy, atomic commit granularity. I welcome suggestions on workflow or PR polish!