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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11LocalCommit is a command-line tool designed to draft a Conventional Commit message from your staged Git changes using a local Ollama model. Its described workflow is to stage files, run npx localcommit, review the suggested message, and choose whether to confirm, edit, regenerate, or cancel. The project’s author says diffs stay on the machine; that is an author-reported design claim, not an independently audited privacy guarantee.
How LocalCommit fits into a Git workflow
- Stage the changes you intend to commit with Git.
- Run
npx localcommitfrom the project directory. - Review the proposed Conventional Commit message, then confirm it, edit it, ask for another draft, or cancel.
The project article’s example uses a feat(auth): ... message. LocalCommit is described as reading the staged diff, rather than asking a cloud LLM API to process it. These are behaviors reported by the author, Gaurav Sethi; the project was not independently installed or tested for this article. Read the LocalCommit project article.
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What makes a commit message conventional?
Conventional Commits 1.0.0 is a lightweight convention for formatting commit messages. A message typically starts with a type and a short description; an optional scope identifies the affected area. A body can add detail, while footers can carry additional information.
featsignals a feature.fixsignals a bug fix.- A breaking change can be marked with
!before the colon, as infeat(api)!: change response format, or described in a footer beginningBREAKING CHANGE:.
The format helps teams communicate change intent and can support automated changelogs and semantic-version decisions. A generated message is still a draft: check that its type, scope, description, and any breaking-change notation match what the staged changes actually do. See the Conventional Commits 1.0.0 specification.
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Requirements and setup
The LocalCommit article lists Node.js 18 or later, Git, Ollama, and a configured model file as prerequisites. It names qwen2.5-coder:3b as the default model. The article describes npm run setup as checking prerequisites, confirming Ollama is available, obtaining that model if it is missing, installing dependencies, and building the project.
Those setup details and the stated MIT license come from the project-authored article. The repository’s current code, package metadata, installability, and license text were not independently verified here, so check the project’s current instructions before relying on them.
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Handling larger staged diffs
According to the author, LocalCommit checks the model’s context window and uses per-file summaries followed by a final prompt when a diff is too large to pass as one input. The article describes a 60-second budget for per-file summaries and says source and test files receive priority. These are implementation details reported by the author, not independently verified behavior.
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What local inference does—and does not—establish about privacy
The stated design sends staged changes to a model served through Ollama on the developer’s machine instead of to a proprietary cloud LLM API. The project author says the diff remains local. That describes the intended inference path, but it is not an independent security audit or proof about every component, configuration, or environment. Anyone with strict confidentiality requirements should inspect the current code and runtime configuration before using the tool with sensitive repositories.
Offline use also depends on having Ollama and the selected model available locally. The local design avoids needing a cloud model request for inference; it does not mean setup or model acquisition can happen without connectivity.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choosing a Qwen2.5-Coder model
Ollama’s library lists Qwen2.5-Coder variants at six sizes. Its listing gives the 3B model a 1.9 GB artifact size and a 32K context window. These are library metadata, not measurements of LocalCommit’s speed or commit-message quality, and they do not establish hardware compatibility for a particular computer.
| Variant | Listed model size | Artifact size and context window |
|---|---|---|
| qwen2.5-coder:0.5b | 0.5B | Not stated in the cited Ollama listing |
| qwen2.5-coder:1.5b | 1.5B | Not stated in the cited Ollama listing |
| qwen2.5-coder:3b | 3B | 1.9 GB; 32K context window |
| qwen2.5-coder:7b | 7B | Not stated in the cited Ollama listing |
| qwen2.5-coder:14b | 14B | Not stated in the cited Ollama listing |
| qwen2.5-coder:32b | 32B | Not stated in the cited Ollama listing |
The listed variants are options to investigate, not a quality ranking for commit generation. Test the model available on your machine against representative staged changes, and inspect whether its drafts accurately capture the change and follow your team’s conventions. Check Ollama’s Qwen2.5-Coder listing.
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