Wright AI writes JSDoc for every undocumented JavaScript function in your project — reading callers and callees for accurate context, not just the function body.
See it in action
Wright AI reads the function body, its callers, and its callees — generating documentation that reflects real intent, not just syntax.
async function processWebhook(payload, signature, config) {
if (!verifySignature(payload, signature, config.secret)) {
throw new WebhookError("Invalid signature", 401);
}
const event = JSON.parse(payload);
await queue.push({ event, retries: 0, receivedAt: Date.now() });
return { accepted: true, eventId: event.id };
}/**
* Validates and enqueues an incoming webhook payload.
*
* @param {string} payload - Raw request body as UTF-8.
* @param {string} signature - HMAC-SHA256 from the request header.
* @param {{ secret: string }} config - Webhook configuration.
* @returns {Promise<{ accepted: boolean, eventId: string }>}
* @throws {WebhookError} If the signature does not match (HTTP 401).
*/
async function processWebhook(payload, signature, config) {How it works
WrightAI generates, verifies and maintains documentation — so docs stay accurate as your JavaScript codebase evolves.
Comparison
Most tools for JavaScript documentation either render what exists or suggest one comment at a time. Wright does neither.
Repetitive and time-consuming. Skipped under pressure and never caught up later.
Generates documentation sites from existing comments — does not write comments for you.
No call graph context. No batch mode. No coverage report. No CI enforcement.
Batch-generates JSDoc documentation across your entire JavaScript codebase. Tracks coverage. Detects drift on every commit. Feeds live docs to AI tools via MCP. Free to start.
Free VS Code extension · CLI · GitHub Action · MCP server.
No credit card required.