Pruve

Freemium

Pruve 会读取代码仓库的历史记录，解释特定代码行为何如此编写，并提供可打开查看的依据。它为开发者、产品经理和 AI 智能体提供来自 GitHub 或 GitLab 仓库的只读上下文。

什么是 Pruve？

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 能做什么？

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.

使用场景

“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.

常见问题

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.

快速信息

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