Code-to-Plain-Language

Read your codebase in English.

Anchoria scans every entry point and call chain, then explains in plain language what runs when — so anyone on the team can follow the system without reading source.

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function processPayment(tx) {
validateCard(tx.card);
chargeGateway(tx);
updateLedger(tx.id);
}
Plain Language

Validates a payment card, charges it via the payment gateway, and records the transaction in the ledger.

fig 1. code-to-plain-language transformation

How it works

Three steps from repo to readable system.

▶POST /repository_connections
{
fullName: "acme/web",
defaultBranch: "main"
}
201 Created · mirrored in 8s
routes/charge.tsentry point
export async function charge(req: Request) {
  await verifySession(req);
  await rateLimiter(req);
  const r = await stripe.charges.create(req.body);
  await audit.write(r);
}
plain languagevia get_flow

Verifies the user's session, runs the rate limiter, charges the card through Stripe, then writes an audit log entry. Four calls, one external dependency.

Stripeside-effect: db.audit

The same code, in plain English.

Every summary is grounded in the real call graph. No hallucination, no guessing.

entry point detectedAnchoria tags HTTP routes, queue handlers, and CLI commands automatically.
call chain summarizedEach callee in the flow is named, so the summary stays faithful to the source.
side-effects flaggedDB writes, network calls, and external APIs show up as tags on the summary.

Frequently asked
questions.

Code generation tools write code for you. Code review tools point out problems in your code. Anchoria teaches you what your AI-generated code actually does, encodes the architectural intent behind it, and blocks every future change that quietly breaks it. It's the difference between a spell checker and a grammar checker: one fixes typos, the other teaches you to write better sentences and prevents you from writing worse ones.