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redhat-et/ripwire

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AI 분석

•C++23 CLI·MCP 서버 → 코딩 에이전트에 저장소 구조·변경 영향·실행할 테스트 정보 제공
•파일 전체 탐색 대신 순위화된 호출 그래프와 시그니처로 컨텍스트를 압축하는 접근
•토큰 절감 수치는 프로젝트 측 주장으로 언어별 분석 정확도와 실제 작업 성능 검증 필요

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server giving coding agents a ranked, deterministic map of any repo, blast radius, tests-to-run and quality deltas. Signatures at 80% fewer bytes than bodies; ~5% of a grep-and-read pass's tokens.

검증 정보

출처
github.com
피드
GitHub 활발
수집/분석 기준
2026. 9. 8. 오전 9:00
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본문

[](https://github.com/redhat-et/ripwire/actions/workflows/ci.yml)

[](https://github.com/redhat-et/ripwire/releases/latest)

[](LICENSE)

[](CONTRIBUTING.md)

[](THIRD_PARTY.md)

[](present/ripwire-showcase.pdf)

# Rip'n Fast. Less Tokens. Better Code.

## Give your coding agent a map before it reads the repo.

ripwire is the ripgrep of AI context. Point it at any repository and your agent gets a ranked,

deterministic call graph — what to touch, what it breaks, which tests to run — instead of grepping

around and reading whole files.

Fifty years of software-engineering results, and research from last month. 42 repositories and 67 papers folded — McCabe (1976) through to seven papers published in the last two months — each row in docs/LINEAGE.md naming the lesson taken and the file it lives in, all of it put into a single blazing-fast compiled executable

Beside those sits a labelled survey of 237 tools that contributed nothing and says so. The two

sets are disjoint by construction, so they add rather than nest — a tool that gave a lesson is never

counted twice.

Both halves are load-bearing, and they are doing different jobs. The settled results are what

make the quality lens trustworthy: McCabe on complexity (1976), Halstead on volume (1977), Spärck

Jones on term specificity (1972), Nagappan & Ball on churn. Fifty years of replication means those

are not opinions, and a tool that measures your code should be built on the ones that survived.

The recent work is what makes it current: **seventeen of the folded papers are from 2026, seven

published in the last two months and three in the last thirty days** (dates as of 2026-09-08; every

row carries its arXiv id, so the claim is checkable rather than atmospheric). Retrieval for coding

agents, context-compression cost, placebo-controlled localization — that literature is months old,

not decades, and several rows were folded within weeks of the paper appearing.

Neither half alone would be enough. A tool built only on the classics would not know what an agent

needs; one built only on last month's preprints would have nothing underneath it. And the newest row

is a result that failed when it was tested here — which is the point of writing them down. All three counts are re-derived from that document's own tables by

test/readmedriftcheck.sh on every run, which fails if this page and those tables disagree, so the

claim cannot quietly drift. The row-by-row ledger is

[docs/LINEAGE.md](docs/LINEAGE.md).

Languages: Rust · C++ · Objective-C/C++ · C · Metal · CUDA · Python · Go · Swift · TypeScript ·

JavaScript · Java · Ruby · PHP · Lua · Elixir · Bash · C# · JSON · TOML · YAML · Markdown — see

[language support and limits](#languages).

### No API key. No embeddings. No index server. No daemon.

One process, no server — indexes this repository in 0.25 s using 6.6 MB, against 46.8 s and 391 MB for the graph-database MCP server it was measured against; warm queries answer in 197 ms to its 1,082 ms

Measured on 48 matched questions across django, webpack and this repository. Across all three,

ripwire indexes in 0.25–0.45 s and 6.6–16.5 MB against that server's 23–52 s and

391–623 MB. The full method, the wins named one by one and the losses included, is in

[Against the leading graph-database code-context MCP server](#against-the-leading-graph-database-code-context-mcp-server)

and [docs/EVALS.md](docs/EVALS.md).

One binary, offline — and the same line activates the skills for every agent it finds: Claude Code · Codex · Cursor · Windsurf · Gemini · opencode · aider

One self-contained binary on your own machine, offline, installed in one line — and the same line

installs and activates the task-shaped skills that teach your agent when to reach for it, not

just how, for every agent it finds on the machine. If your

agent can run shell commands — Claude Code, Codex, Cursor, Windsurf, Gemini, opencode, aider — it is

set up the moment the install finishes; [the MCP server is the optional second

interface](#set-it-up-in-your-coding-agent). Install it and ask it something before you finish

reading this page:

RIPWIRE_REPO=redhat-et/ripwire bash -c "$(curl -fsSL https://raw.githubusercontent.com/redhat-et/ripwire/main/scripts/install.sh)"
export PATH="$HOME/.local/bin:$PATH"      # where it installed; the installer prints this line if you need it
cd your-repo
ripwire . --for="<the change you are about to make, in words>"

Reach for the CLI first — it is the cheaper interface. The MCP server is the optional second

way in, and its convenience has a cost the shell pipe does not carry: its verb schemas sit in your

agent's context every session, whether or not it calls them.

### Same answer, a fraction of the tokens — read this table first if your agent is on a budget

How these ten rows were measured — 2026-08-08, figures in ~tokens (≈ bytes/4), every ratio from a real run reproduced by the command in its row

관련 아이템

redhat-et/ripwire — Ai! Jack! — Ai! Jack!