feat: add Lua and Luau language support (#273)
Adds Lua (.lua) and Luau (.luau) extraction — functions, methods with receivers, type aliases (Luau), require imports (incl. Roblox instance-path), and call edges. Vendors the ABI-15 Lua and ABI-14 Luau tree-sitter grammars. Addresses #232.
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---
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name: add-lang
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description: Add tree-sitter language support to codegraph end-to-end — wire the grammar + extractor, write tests, then benchmark extraction quality and retrieval value on 3 popular real-world repos. Use when the user runs /add-lang <language> or asks to add/support a new language (e.g. Lua, Elixir, Zig, OCaml) in codegraph.
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---
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# Add a language to CodeGraph
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Wire a new tree-sitter language into codegraph's extraction pipeline, prove it
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extracts real symbols on popular repos, and prove it beats no-codegraph for an
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agent. Runs **fully autonomously** — pick repos, benchmark, update docs, then
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report. **Never commit, push, publish, or tag** (house rule); leave all changes
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for the user to review.
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The argument is the language token used throughout the `Language` union, e.g.
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`lua`, `elixir`, `zig`. If none was given, ask which language. Use the lowercase
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single-token form everywhere (`csharp`, not `c#`).
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## Prerequisites
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- Run from the codegraph repo root. `node`, `git`, `gh`, and a logged-in
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`claude` CLI (the benchmark spawns real `claude -p` runs).
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- The benchmark uses the local dev build — Step 8 builds + links it on PATH.
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## Workflow
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Copy this checklist and work through it in order:
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```
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- [ ] 1. Resolve language; bail early if already supported (just benchmark)
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- [ ] 2. Find a grammar + health-check it (ABI / heap corruption)
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- [ ] 3. Discover the grammar's AST node types (dump-ast.mjs)
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- [ ] 4. Wire the language (4 files; sometimes a 5th core touch)
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- [ ] 5. Build + verify-extraction loop until PASS
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- [ ] 6. Add extraction tests; make them green
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- [ ] 7. Auto-pick 3 popular repos by size tier; add to corpus.json
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- [ ] 8. Benchmark all 3: extraction + with/without A/B
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- [ ] 9. Update README + CHANGELOG
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- [ ] 10. Report; do NOT commit
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```
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### Step 1 — Resolve + short-circuit
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Check whether the language is already wired: look for the token in the
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`LANGUAGES` const (`src/types.ts`) and the `EXTRACTORS` map
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(`src/extraction/languages/index.ts`). If it is already supported (e.g.
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`typescript`, `rust`), **skip Steps 2–6** and go straight to benchmarking
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(Steps 7–8) to validate/measure it — note in the report that no code changed.
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### Step 2 — Find a grammar, then health-check it
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```bash
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ls node_modules/tree-sitter-wasms/out/ | grep -i <lang> # csharp -> c_sharp
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```
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- **Present** → likely off-the-shelf; `grammars.ts` resolves it from
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`tree-sitter-wasms` automatically. (Many languages: elixir, zig, ocaml,
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solidity, toml, yaml, …)
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- **Absent** → vendor a `.wasm` into `src/extraction/wasm/` (like `pascal` /
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`scala` / `lua`) and add the token to the vendored branch in Step 4.
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**Always health-check before writing an extractor — a *present* grammar can
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still be unusable:**
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```bash
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node scripts/add-lang/check-grammar.mjs <lang> path/to/valid-sample.<ext>
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```
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It prints the grammar's ABI version and parses a valid sample many times in a
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multi-grammar runtime. If it **FAILs** (ERROR trees on valid code — an old ABI
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corrupting the shared WASM heap, which silently drops nested calls/imports on
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every file after the first; e.g. the tree-sitter-wasms **Lua** grammar is ABI 13
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and fails), do NOT use that wasm. **Vendor a newer (ABI 14/15) build instead:**
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```bash
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npm pack @tree-sitter-grammars/tree-sitter-<lang> # often ships a prebuilt *.wasm
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# or build one: npx tree-sitter build --wasm (needs Docker/emscripten)
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cp <the>.wasm src/extraction/wasm/tree-sitter-<lang>.wasm
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```
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then add the token to the vendored branch in Step 4 and re-run check-grammar on
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the vendored path until it PASSes. **If you cannot obtain a healthy wasm, STOP
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and tell the user.**
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### Step 3 — Discover AST node types
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Get a representative source file (write a small sample covering functions,
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classes/structs, imports, enums; or `curl` a raw file from a known repo), then:
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```bash
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node scripts/add-lang/dump-ast.mjs <lang> path/to/sample.<ext>
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# vendored grammar: pass the wasm path instead of the token
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node scripts/add-lang/dump-ast.mjs src/extraction/wasm/tree-sitter-<lang>.wasm sample.<ext>
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```
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The frequency table + field names (`name:`, `parameters:`, `body:`,
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`return_type:`) tell you what to map. Open the existing extractor closest to the
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language's paradigm as a model: `rust.ts`/`scala.ts` (functional, traits),
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`java.ts`/`csharp.ts` (OO), `python.ts`/`ruby.ts` (scripting), `go.ts`
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(top-level methods + receivers).
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### Step 4 — Wire the language (4 files)
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These are exact, fragile wiring — match the existing style precisely:
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1. **`src/types.ts`** — TWO edits:
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- add `'<lang>',` to the `LANGUAGES` const (before `'unknown'`);
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- add `'**/*.<ext>',` to `DEFAULT_CONFIG.include`. **Don't skip this** — it's
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the file-scan allowlist; without the glob, `codegraph init` finds **0
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files** even though detection/extraction are wired.
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2. **`src/extraction/grammars.ts`** — three maps:
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- `WASM_GRAMMAR_FILES`: `<lang>: 'tree-sitter-<lang>.wasm',`
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- `EXTENSION_MAP`: each file extension → `'<lang>'` (e.g. `'.lua': 'lua',`)
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- `getLanguageDisplayName`: `<lang>: '<Display Name>',`
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- **vendored only**: add `<lang>` to the
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`(lang === 'pascal' || lang === 'scala' || …)` wasm-path branch.
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3. **`src/extraction/languages/<lang>.ts`** — new file exporting
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`export const <lang>Extractor: LanguageExtractor = { … }`. Map the node types
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from Step 3. Required fields: `functionTypes`, `classTypes`, `methodTypes`,
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`interfaceTypes`, `structTypes`, `enumTypes`, `typeAliasTypes`,
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`importTypes`, `callTypes`, `variableTypes`, `nameField`, `bodyField`,
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`paramsField`. Add hooks as the grammar needs them (`getSignature`,
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`getVisibility`, `isExported`, `extractImport`, `visitNode`, `getReceiverType`,
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`interfaceKind`, `enumMemberTypes`, etc. — see
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`src/extraction/tree-sitter-types.ts`).
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4. **`src/extraction/languages/index.ts`** — `import { <lang>Extractor } from
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'./<lang>';` and add `<lang>: <lang>Extractor,` to `EXTRACTORS`.
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**Sometimes a 5th, core touch in `src/extraction/tree-sitter.ts`** — variable
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extraction has per-language branches in `extractVariable` (the generic fallback
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only finds direct `identifier`/`variable_declarator` children). If the grammar
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nests declared names (e.g. Lua's `variable_declaration → variable_list`), add a
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`} else if (this.language === '<lang>')` branch there, mirroring the existing
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ts/python/go ones. Import forms that aren't a distinct node (Lua/Ruby `require`
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is a *call*) are handled in the extractor's `visitNode` hook instead.
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### Step 5 — Build + verify loop
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```bash
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npm run build # tsc + copy-assets (copies any vendored *.wasm into dist/)
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```
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Index a small sample repo and check extraction:
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```bash
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( cd <sample-repo> && codegraph init -i )
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node scripts/add-lang/verify-extraction.mjs <sample-repo> <lang>
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```
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`verify-extraction.mjs` fails (exit 1) if the language isn't detected or only
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`file`/`import` nodes were produced — the classic symptom of wrong node-type
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names. On FAIL or a thin WARN: re-run `dump-ast.mjs` on a richer file, fix the
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mappings in `<lang>.ts`, `npm run build`, re-index, re-verify. **Repeat until
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PASS.**
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### Step 6 — Tests
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Add to `__tests__/extraction.test.ts`, modeled on the `Rust Extraction` block:
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- a `detectLanguage` assertion in `describe('Language Detection')`
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- a `describe('<Lang> Extraction')` block asserting functions/classes/imports
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are extracted from an inline source string.
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```bash
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npx vitest run __tests__/extraction.test.ts
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```
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Green before continuing.
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### Step 7 — Auto-pick 3 repos + corpus
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Pick **without asking**. Find candidates, then curate 3 that are genuinely
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`<lang>`-dominant, one per size tier:
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```bash
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gh search repos --language=<lang> --sort=stars --limit 40 \
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--json fullName,stargazerCount,description
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```
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Tiers (match `corpus.json`): **Small** <~150 files · **Medium** ~150–1500 ·
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**Large** >~1500. Skip repos that are tagged `<lang>` but mostly another
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language. Write one cross-file architecture **question** per repo (the kind that
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needs tracing across files). Add a `"<Language>"` block to
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`.claude/skills/agent-eval/corpus.json` (fields: `name`, `repo`, `size`,
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`files`, `question`) so `/agent-eval` can reuse them.
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### Step 8 — Benchmark all 3 (extraction + A/B)
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Make the dev build the codegraph on PATH **once**, then loop:
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```bash
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npm run build && ./scripts/local-install.sh
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scripts/add-lang/bench.sh <lang> <name> <url> "<question>" headless # ×3
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```
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`bench.sh` clones (shared `/tmp/codegraph-corpus`), wipes + indexes, runs
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`verify-extraction.mjs`, then the with/without retrieval A/B via
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`scripts/agent-eval/run-all.sh` (skips the paid A/B if extraction is broken).
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Read each `parse-run.mjs` summary printed by `run-all.sh`: tool calls, file
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`Read`s, Grep/Bash, codegraph-tool calls, duration, and **cost** — for both the
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`with` and `without` arms. After the loop, restore the dev link if needed:
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`./scripts/local-install.sh`.
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### Step 9 — Docs + CHANGELOG
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- **README.md**: add `<Lang>` to the "19+ Languages" feature bullet, and add a
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row to the **Supported Languages** table:
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`| <Lang> | \`.ext\` | Full support (classes, methods, …) |`.
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- **CHANGELOG.md**: add an `## [Unreleased]` section at the top (above the
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latest version) with `### Added` → a user-perspective bullet, e.g.
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*"CodeGraph now indexes **<Lang>** (`.ext`) — functions, classes, imports, and
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call edges."* If `## [Unreleased]` already exists, append under it. (`/publish`
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folds this into the next versioned block at release time.)
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### Step 10 — Report (do NOT commit)
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Summarize for review:
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- **Files changed**: the 4 wiring edits + new extractor + tests + README +
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CHANGELOG + corpus.json (+ any vendored `.wasm`).
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- **Extraction** per repo: files / nodes / edges / `verify-extraction` result.
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- **A/B** per repo: `with` vs `without` (tool calls, file Reads, cost) and a
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one-line verdict — did codegraph reduce effort, and did both arms reach a
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correct answer?
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- **Gaps / follow-ups** (node types not yet mapped, resolution edges missing,
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framework routes, etc.).
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Hand the changes to the user. **Do not** run `git commit`/`push`,
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`npm publish`, or `scripts/release.sh`.
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## Notes
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- The A/B spawns real **paid** `claude -p` runs (opus, `--max-budget-usd`),
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2 arms × 3 repos. The corpus dir `/tmp/codegraph-corpus` is shared with
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`/agent-eval`, so clones are reused across runs.
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- Any new `*.wasm` must live in `src/extraction/wasm/` — `copy-assets` (run by
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`npm run build`) ships it; otherwise it won't be in `dist/`.
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- An index must be served by the **same** binary that built it. Step 8 builds +
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links the dev build first, so this holds.
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- If a grammar can't be obtained, or extraction can't reach PASS, **STOP and
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report** — don't ship a half-wired language.
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@@ -59,5 +59,15 @@
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],
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"Svelte": [
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{ "name": "shadcn-svelte", "repo": "https://github.com/huntabyte/shadcn-svelte", "size": "Medium", "files": "~600", "question": "How do shadcn-svelte components compose and apply their styling?" }
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],
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"Lua": [
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{ "name": "lualine.nvim", "repo": "https://github.com/nvim-lualine/lualine.nvim", "size": "Small", "files": "~120", "question": "How does lualine assemble and render its statusline sections and components?" },
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{ "name": "telescope.nvim", "repo": "https://github.com/nvim-telescope/telescope.nvim", "size": "Medium", "files": "~80", "question": "How does Telescope wire a picker to its finder, sorter, and previewer?" },
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{ "name": "kong", "repo": "https://github.com/Kong/kong", "size": "Large", "files": "~1330", "question": "How does Kong execute plugins across a request's lifecycle phases?" }
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],
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"Luau": [
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{ "name": "Knit", "repo": "https://github.com/Sleitnick/Knit", "size": "Small", "files": "~10", "question": "How does Knit register services and expose them to clients?" },
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{ "name": "vide", "repo": "https://github.com/centau/vide", "size": "Small", "files": "~40", "question": "How does vide track reactive sources and re-run effects when state changes?" },
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{ "name": "Fusion", "repo": "https://github.com/dphfox/Fusion", "size": "Medium", "files": "~115", "question": "How does Fusion build and update its reactive UI graph from state objects?" }
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]
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}
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