Skip to main content

Webhook System Design and Implementation

Build a production webhook system: subscription API, signed payloads for verification, retries with exponential backoff, and reliable event delivery at scale.

Vul de plaatshouders in

Edit the values, then copy your finished prompt.

Jouw Prompt
prompt.txt

                                

What this prompt does

This prompt asks the AI to design and implement a complete webhook delivery system for [platform_name], not just a single POST endpoint. It walks through ten production concerns in order: a registration API (subscribe, update, delete, list), the [event_types] you actually emit, payload signing with [signing_method], delivery with [retry_count] retries plus exponential backoff, status tracking, debug logs, per-subscriber rate limiting at [rate_limit], IP whitelisting, a test endpoint, and a dead letter queue. It also asks for a database schema, a delivery-worker architecture, and a subscriber SDK with a signature-verification example in [sdk_language].

The structure works because webhooks fail quietly. The numbered list forces the model to address the parts teams skip — backoff, delivery tracking, and the dead letter queue — instead of stopping at "send a request." Pinning [signing_method] to something like HMAC-SHA256 and naming your real [event_types] keeps the generated schema and worker code aligned with how your platform actually behaves.

When to use it

  • You're adding outbound webhooks to a SaaS product for the first time and want a reference design.
  • You need to convince yourself (or a reviewer) that retries, signing, and a dead letter queue are all covered.
  • You're standardizing several ad-hoc webhook senders into one delivery service.
  • You want a subscriber-facing SDK so integrators verify signatures correctly instead of skipping the check.
  • You're documenting event types and delivery guarantees for an API partner.
  • You're debugging lost events and need a logging and status-tracking model to add.

Example output

Expect a structured spec rather than a single file: a database schema (subscriptions, deliveries, delivery attempts, dead-letter tables), a worker architecture description covering how jobs are queued and retried with backoff, signing and verification code, and an SDK snippet in [sdk_language] showing how a subscriber recomputes and compares the signature. The delivery-status states (pending, delivered, failed) and the dead letter queue behavior are spelled out so you can map them onto your own queue.

Pro tips

  • Set [event_types] to your real events (e.g. order.created, payment.completed) so the schema models your domain, not the defaults.
  • Keep [signing_method] as HMAC-SHA256 unless you have a reason to differ — it's the convention subscribers expect, and the SDK example matches it.
  • Tune [retry_count] to your tolerance; five retries with exponential backoff is a sane default, but state your max backoff window so the worker doesn't retry for days.
  • Match [sdk_language] to your subscribers' stacks — generate Node.js and Python if both consume your events, since verification bugs are where integrations break.
  • Ask for the dead letter queue handling explicitly in a follow-up if the first pass is thin; permanently failed deliveries need a replay path, not just a table.
  • Treat [rate_limit] as a per-subscriber guard so one noisy consumer can't starve delivery for everyone else.

Frequently Asked Questions

Does this prompt cover signature verification on the subscriber side?
Yes. It asks for a subscriber SDK with a working signature-verification example in your chosen `[sdk_language]`, so integrators can confirm a payload genuinely came from your platform rather than trusting it blindly.
What signing method should I use for the payloads?
HMAC-SHA256 is the default and the safest choice for `[signing_method]` because it is widely supported and matches what most subscriber libraries expect. You can substitute another method, but you will lose that convention advantage.
Why does it include a dead letter queue?
A dead letter queue captures deliveries that fail permanently after all `[retry_count]` retries are exhausted, so events are stored for inspection or replay instead of being silently dropped, which is the most common way webhook systems lose data.
Will the output include a database schema I can actually use?
It generates a schema covering subscriptions, delivery records, attempt history, and dead-lettered events. Treat it as a strong starting point and adapt the table and column names to your existing conventions before migrating.
Can I use this for an existing webhook system, not just a new one?
Yes. You can run it to audit what your current setup is missing — backoff, status tracking, rate limiting, or the dead letter queue — and then adopt only the pieces you lack rather than rebuilding everything.
Engr Mejba Ahmed

Need this built for real?

Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

Meer in API Development Prompts

Engr Mejba Ahmed

Engr Mejba Ahmed

Claude Code Expert · Online

👋

Hey there!

Quick Actions

WhatsApp Instant reply

Chat on WhatsApp

+880 1723 741224 · Instant reply

Popular Questions

Engr Mejba Ahmed is connected
Engr Mejba Ahmed is typing...
Engr Mejba Ahmed avatar

✉ Want me to follow up? Drop your email

Engr Mejba Ahmed avatar

📞 Connect Directly

Choose how you'd like to reach me

WhatsApp

+880 1723 741224

Email

[email protected]

✓ Details sent! I'll get back to you shortly.

Powered by OpenAI

335+

Blog Posts

25

AI Courses

63

Projects

Services & Expertise

Pricing & Process

Learning & Resources

Connect & Support