One tree walk writes entry points, routes, data model, step signatures, and every duplicate or dead test into AGENTS.md — or JSON for your own harness. Your agent starts working at turn one, not turn 41.

What it does

No model, no network, no tokens: it reads the tree, so the same tree always gives the same map. Without it, every session opens the same way:

# turn 1   ls; find . -name "*steps*"
# turn 7   grep -rn "def click_pay" .
# turn 19  cat conftest.py; cat tox.ini; cat Makefile
# turn 34  grep -rn "BASE_URL" .
# turn 41  first line of actual work

With it:

$ where-are-we --repo . --agent-file AGENTS.md --max-lines 200

framework map: 66 step modules, 1359 steps, 179 features, 1782 scenarios -> ./framework_map.md

AGENTS.md gets a pointer — 849 bytes, not the map:

## The framework map

`framework_map.md` (123 KB) is a generated map of this suite and the product it
tests. It is on disk on purpose: read from it, do not carry it. Ask it before
grepping the repository — it already knows.

    where-are-we --ask "the words you need"

That prints only the sections that mention those words. `--sections` lists what
is in it.

It has these sections:

- Where things are
- What a step may call
- Steps that overlap (14 pairs) — check whether one already does what you need
- What past runs measured (slowest first)
- …

And the map answers questions instead of being read:

$ where-are-we --ask "refund settled invoice"

## What past runs measured (slowest first)
- billing/refund.feature:88 Refund a settled invoice — ~252s, failed 3×

## Steps that overlap (14 pairs)
- 0.88: "the invoice is settled" (`billing_steps.py`) ≈ "an invoice has settled" (`api_steps.py`)

As an MCP server

where-are-we --mcp --out /path/to/the/map

Four tools — ask, defines, find, sections — over JSON-RPC on stdin and stdout. defines answers where a name is declared; find answers where a phrase appears, which is the other half of what a grep was for. The same index answering the same questions; what changes is that the question is an argument and the answer is a tool result, rather than a shell command and its output sitting in the conversation to be re-read on every turn after.

No model and no network live in here. It reads the JSON the mapper wrote.

Where is it defined

$ where-are-we --ask "MAX_PERSISTED_FORECAST_RESULTS"

## Defined here

- `MAX_PERSISTED_FORECAST_RESULTS` — src/constants/forecastStorage.ts:31

Every name in every file the walk reaches, with its line — functions, classes, constants, types, step phrases, scenario names. A question about a name is a question about where it is, and an answer without the line sends the reader to grep for it anyway.

When a name is not there, the answer says what was indexed rather than declaring the absence real. A map that overstates its reach turns "I did not look" into "it is not there".

The other map: the specifications

A codebase is not the only thing an agent gropes around in. The other is the tracker — the ticket, its parents, what it links to, what mentions it — and it gropes there the same way and for the same reason: no map, so it asks, and asks again.

Measured on one run of a real pipeline: sixteen tickets fetched over and over. One agent pulled fourteen neighbours to understand the task; the next agent pulled the same fourteen again, because a session cannot see another session's memory. Three were fetched three times inside a single session, since finding an answer already in a conversation costs more than asking for it fresh. Every answer then sat in the context for ever, and every later turn paid to re-read it.

$ where-are-we --specs APF-1934 --spec-cmd 'python3 fetch.py {key}'

  APF-1934 (1 so far)
  APF-1860 (2 so far)
  APF-2752 (3 so far)
spec map: 3 ticket(s) -> ./spec_map.md

This tool knows nothing about any tracker, which is the same contract as the rest of it: you hand it a command that turns a ticket key into JSON, it walks the links two hops out, and it writes spec_map.json and spec_map.md. Jira, Linear, GitHub Issues, a text file — it never finds out.

--ask answers from both maps, because a question about a piece of work is as likely to be about what was asked for as about where the code is.

What a map leaves out, it says

Both walks are bounded, because a repository and a tracker are both graphs and a graph will hand over everything if asked. What the bound cut is named in the map itself, at the top:

## This map is incomplete

- the file walk stopped at 40000 files under /work — raise WAWE_MAX_FILES or add
  to .wawe-ignore; what is below that count is mapped and the rest is not

A limit that stops quietly produces a map that looks complete and is not, and the reader has no way to tell — which is worse than a small map, because a small map that says so can be asked to grow. An absence in a silent map reads as a fact about the codebase.

Why install it

• The first forty turns stop repeating. The answers never change between sessions and need no model to produce, so produce them once and commit them.
• A step that exists stops being written twice. Overlapping phrases, dead phrases and uncalled page-object methods are listed by name.
• It reads a repo it has never seen. Detection is by shape, not directory name: a page object is a class that owns selectors, wherever it lives.
• It costs a tree walk. 3s on a 6k-file repo, 2.5min on a 36k-file one, cold. Deterministic — same tree, same map, no API bill.

Install

pip install where-are-we
brew tap ngavrish/tap && brew install where-are-we
curl -fsSL https://ngavrish.github.io/where-are-we/install.sh | sh

macOS, Debian, Ubuntu, Fedora, RHEL. Or ghcr.io/ngavrish/where-are-we.

Output

--agent-file writes a pointer into AGENTS.md, CLAUDE.md or .cursorrules between markers. The rest of the file survives.

Why a pointer and not the map

A prompt is re-sent in full on every turn — that is what a conversation is — so anything put in one is paid for on every turn of the session, read or not.

Measured on a real run: the brief inlined whole was 253 KB, the agent carrying it took 424 turns, and the map alone came to 27.4 million tokens re-sent — a quarter of everything that run consumed, and the reason a five-hour allowance emptied in seventy-four minutes. Trimming it to an index still cost 6k a turn for a document most turns never opened.

The sections are still named in the pointer, because an agent that cannot see that a section exists goes back to grepping the repository — which is the thing this was built to end. Naming them costs two hundred tokens; carrying them costs sixty-four thousand, every turn.

What it reads

• Code — languages, entry points, make targets, npm scripts, container commands, HTTP routes and status codes, data model, module public surface, call and package graphs, cycles, unimported files, complexity hotspots, duplicate blocks.
• Runtime — queues, topics, gRPC, cron, Kubernetes probes and resources, Terraform, Pulumi, Ansible, cache keys, permissions, metrics, spans, log fields, error types, retries, timeouts, breakers, rate limits, transactions, idempotency, outbound services, installed versions from lock files.
• Contracts — OpenAPI, GraphQL, migrations, mocks, feature flags and their branch points, locale keys, pinned images, secret paths (never values).
• Decay — deprecations, coverage, docs pointing at deleted files, git history and who touches what.
• Tests — layers, entry points, callable step signatures, hooks, locators, timeouts, fixtures, tag meanings, overlapping and unused step phrases, dead page-object methods, slow scenarios from past junit.

In a pipeline

- uses: ngavrish/where-are-we@v1
  with:
    agent-file: AGENTS.md
    comment: "true"

- repo: https://github.com/ngavrish/where-are-we
  rev: v0.3.0
  hooks: [{id: where-are-we}]

Keeping it honest

where-are-we --init                 # starter .framework-map.json
where-are-we --docs                 # list the docs the repo lacks (--docs write to create)
where-are-we --install-hook git     # post-checkout, post-merge, post-commit
where-are-we --install-hook agent   # before the first turn of a session
where-are-we --diff                 # what changed since the last map

Autodetection gets the shape right and the vocabulary wrong, so a repo states its own in .framework-map.json and what it states wins:

{
  "name": "billing-e2e",
  "purpose": "End-to-end tests for the billing portal.",
  "layers": {"steps": "steps/*.py — steps own no selectors, they call page objects"},
  "product_src": ["../billing-web/src"],
  "conventions": ["After a fix, re-run only what failed."]
}

.wawe.toml holds CLI flags as defaults, .wawe-ignore keeps build output out, existing files are never overwritten, and anything shaped like a credential is redacted before it reaches a file. The commit and the newest file in the tree are recorded with the map, so a re-run on an unchanged tree costs a stat walk.

--repo PATH                  the repository to index
--product PATH,…             source roots of the application under test
--also PATH,…                other repositories to fold into the same map
--out DIR                    where the three files land
--agent-file FILE            also write the brief into AGENTS.md, CLAUDE.md, …
--docs [write]               offer the repository the documentation it lacks
--for author|coder           author gets the whole vocabulary; coder gets the rest
--only "routes,data model"   keep only these sections in the brief
--skip "coverage,history"    drop these
--max-lines N                cap the brief; the full map is untouched
--diff                       what changed since the map already in --out
--init                       write a starter .framework-map.json
--install-hook git|agent     wire it into something that already runs
--watch SECONDS              rebuild whenever the tree moves
--html                       also write framework_map.html
--force                      rebuild even when nothing moved
--quiet                      no summary line

As a library

from where_are_we import build, brief

m = build("/path/to/repo")
open("AGENTS.md", "w").write(brief(m))

Examples

Real output on a behave suite, a Go service and a React app — docs/examples. Generated by running the tool, not by hand.

Why it exists

Built inside an agentic QA pipeline where seven branches ran at once, each opening with the same forty greps. Three runs died at their deadline with the branches still reading. None of it was specific to that pipeline, agent, or language.

Contributing

Issues and PRs welcome — CONTRIBUTING.md. A change keeps the contract in SCHEMA.md and comes with a case in tests/ built from a real directory.