
layer
Keep local repo files out of git without changing .gitignore
What it does
layer is a CLI for managing local-only files in a git repo without polluting the shared gitignore. It uses git/info/exclude to hide personal files like notes, prompts, specs, and scratch docs from git status, while keeping them on disk. It also supports quick hide/unhide with layer off / layer on, and keeps private local snapshot history for hidden files so you can diff or recover changes later.
Does the same job
all alternatives →- WSWe scaled Git to support 1 TB repos2022 · xethub.com · ▲279
I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git. Unlike Git LFS, we don’t just store the files. We use content-defined chunking and Merkle Trees to dedupe against everything in history. This allows small changes in large files to be stored compactly. Read more here:…
- HCHiding code from Git diff2017 · twistlock.com · ▲167
- GMGitfs – mount Git repos as local folders2014 · presslabs.com · ▲196

- LOLayerform – Open-source development environments using Terraform files2023 · github.com · ▲124
Hi HN, we're Lucas and Lucas, the authors of Layerform (https://github.com/ergomake/layerform). Layerform is an open-source tool for setting up development environments using plain .tf files. We allow each engineer to create their own "staging" environment and reuse infrastructure. Whenever engineers run layerform spawn, we use plain .tf files to give them their own "staging" environment that looks just like production. Many teams have a single (or too few) staging environments, which developers have to queue to use. This is particularly a problem when a system is large,…
- FGFeaturevisor – Git-based feature flags and experiments management2023 · featurevisor.com · ▲48
Why? - Decouple application deployment from releases How it works: - Make changes to your features and segments (YAMLs) via Pull Requests - Generate datafile (JSON file) in CI/CD workflow and upload to your CDN - Fetch datafile in your application runtime and consume with SDKs Supports: - Feature flags: boolean flags - Experimentation: a/b tests - Segments: targeting traffic with conditions - Variables: namespaced under each feature and conditional - Gradual rollouts: avoid big bang releases, go from 0% to 100% - Consistent bucketing: same user sees same variation - Multiple…
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