catalog / devtools

Bundler

Turn a module graph into deployable assets, quickly and reproducibly.

18 capabilities 1 sections reference specification

Build against it

# give your agent the catalog — no account, no install
claude mcp add provespec -- npx -y provespec-mcp

# then, from any agent session
spec_get(slug: "bundler")                → the capability tree
spec_checklist(slug: "bundler")          → the questions to answer
spec_grade(slug: "bundler", grades: [...])  → parity % + the gap list

# or just fetch it
curl https://provespec.com/catalog/bundler/spec.json

Grade every capability below as yes · partial · no · na, with a file reference as evidence. Whatever you leave ungraded counts as missing — the gap list is the work queue.

Or just paste this to your agent

Use the ProveSpec MCP server. Fetch the "bundler" spec with
spec_get, then walk spec_checklist and grade this repository against it —
one verdict per capability, each with a file reference as the note.
Call spec_grade with the results and give me the gap list as the plan.

If the server is not registered, add it first:
  claude mcp add provespec -- npx -y provespec-mcp

The specification

AI 18

Graph

✓ Entry points and dependency resolution node and browser resolution rules
✓ ESM and CommonJS interop
✓ Dynamic import creates a split point
✓ Path aliases and conditional exports

Transform

✓ Transpile via a plugin pipeline
✓ CSS, images and assets as first-class modules
✓ Environment variable replacement at build time

Optimise

✓ Tree shaking of unused exports side-effect flags honoured
✓ Minification and dead-code elimination
✓ Code splitting with shared chunks
✓ Content hashing in output filenames for long-term caching

Output

✓ Source maps that map back to original sources
✓ Build manifest for server-side asset lookup
✓ Target selection browser, node, es2020

Dev

✓ Dev server with hot module replacement state preserved where possible
✓ Incremental rebuild on change sub-second for a typical edit

Trust

✓ Reproducible output for identical input
✓ Bundle analysis report what is big and why

Open in Parity → Download spec.json All 102 specs