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Pruve

Freemium
訪問

Pruveはリポジトリの履歴を読み込み、特定のコード行がなぜそのように書かれているのかを、開いて確認できる根拠とともに説明します。GitHubまたはGitLabのリポジトリから、開発者、プロダクトマネージャー、AIエージェント向けに読み取り専用のコンテキストを提供します。

Pruveとは?

Pruve is a read-only product for exploring why code exists the way it does. It reads a repository’s history and ties individual lines back to the change that introduced them, so you can open the supporting discussion, commit, review thread, or agent session instead of relying on guesswork.

The product is built around evidence. When a line can be explained, Pruve shows the receipts behind it; when it cannot, it says so plainly. That makes it useful for understanding unusual constants, merge decisions, undocumented behavior, and other code that is hard to interpret from the source alone.

Pruveでできること

Line-level explanations with receipts

Pruve answers questions about specific lines by tracing them back to the changes and discussions that wrote them. The result is a clickable chain of evidence rather than a speculative summary.

Coverage visibility across a repository

It classifies changes as explained, described, or undocumented, then surfaces that coverage in dashboards, file trees, and the code gutter so readers can see which parts of a codebase have recorded reasoning.

Historical context from multiple source types

Indexing can pull from commit messages, pull request bodies, review comments, linked issues, and agent sessions, which lets the product preserve the discussion around a change, not just the diff.

Read-only browsing and questioning

Pruve reads repository history and file contents without writing back to the code host. The only optional write action mentioned is a PR check run for the documentation gate.

Agent access over MCP

The product exposes read-only MCP tools so agents can inspect reasoning before editing code. This is meant to let automated workflows ask “why” before making a change.

Coverage-based documentation gate

Teams can optionally fail pull requests that have no recorded reasoning anywhere, turning missing context into an explicit review signal.

利用シーン

“Understanding strange or opaque code”

A developer can click a line, see the change that introduced it, and read the discussion that explains why it was added instead of reverse-engineering the intent from the implementation.

“Reviewing merge decisions and technical tradeoffs”

When a merge commit drops discussion context, Pruve can surface the issue, benchmark, review comment, or agent session that explains why a choice was made.

“Checking documentation coverage in a repository”

Teams can scan a codebase to see which files or folders have recorded reasoning and which areas are still undocumented, making gaps visible before they become maintenance problems.

“Giving agents safer read access”

An AI agent can use MCP tools to inspect receipts before editing code, helping it avoid changes based on invented rationale.

“Adding a repository-level reasoning gate”

Teams that want explicit evidence for pull requests can use the documentation gate to flag changes that lack recorded reasoning.

よくある質問

Does Pruve write to my repository?

No. The product is read-only. The documentation says it does not push code, comments, or branches. The only write-related action mentioned is an optional PR check run for the documentation gate.

What kinds of sources does Pruve read?

It indexes repository history and related discussion, including commits, pull requests, review threads, issues, and agent sessions when they are available.

What happens when Pruve cannot find a reason for a line?

It says so rather than guessing. The product is designed to report what it searched and stop if there is no evidence.

How is coverage defined?

Coverage is counted as explained, described, or undocumented changes. Those counts are used in the product’s dashboards and line gutters.

Is open source free?

Yes. The pricing page says open source is free forever, with free and unmetered read-only access for receipts.

クイック情報

Category
Developer Tool
Primary use
Explain why repository code exists the way it does
Data source
GitHub and GitLab repository history
Access model
Read-only browsing and questioning
Agent support
MCP tools for AI agents
Pricing model
Paid organisation plan for private repositories; free forever for open source

Pruve のトラフィック分析

トラフィックデータは参考情報としてご利用ください。

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