DEV Community: Iyanuoluwa Fesobi

n8n vs Custom Code for Implementing Webhooks

Iyanuoluwa Fesobi — Mon, 02 Feb 2026 17:50:11 +0000

TL;DR: Here’s how to decide whether n8n or custom code is the right fit for your webhook workflows.

Scenario / Need	Choose n8n	Choose Code
Speed to implementation	You need a working webhook fast and want to iterate quickly	You can afford longer build time for optimized performance
Debugging & visibility	You want real-time execution history, easy troubleshooting, and fast fixes	You prefer logging and debugging in your own stack.
Cross-functional clarity	You want a visual workflow everyone can understand (PMs, support, ops)	You’re fine keeping integration logic inside the engineering team
Integration complexity	You need multi-step orchestration, branching, retries, and data transformation	The workflow is simple, or the logic is too complex for a visual tool
Engineering overhead	You want to reduce dev time and avoid building custom middleware	You have resources and prefer building a custom, controlled system.
Flexibility vs Zapier-style tools	You want more control than Zapier but still want low-code speed	You need full control and are building core product logic
High-volume, low-latency	Small to moderate webhook traffic.	Thousands of webhooks/sec, low-latency requirements.
Workflow = core product	Not recommended	Yes, if the workflow is your product’s IP
Complex DB logic / transactions	OK for simple writes or light processing	Best when you need transactions, joins, or heavy DB operations
Compliance & privacy	Fine if you can safely route data through middleware	Preferable if strict data handling rules require internal control

What Webhooks Do

If you own or are part of a team developing a SaaS product, chances are that your system does not exist in isolation. You’re probably integrating with payment providers, CRMs, email tools, analytics platforms, or internal services. And every time something happens in one place, something else needs to respond fast.

That’s what webhooks are built for.

Webhooks let systems notify each other in real time when an event occurs. For example, a user signs up on your platform and a webhook is sent to your CRM to update the database. A payment goes through on Stripe and a webhook is sent to your platform to update the customer's status.

Basically, instead of another system constantly checking for updates, it receives a webhook that notifies it of an event instantly and reacts right away.

For your team, this means faster workflows, more responsive systems, and cleaner, more scalable integrations.

Where n8n Comes In

Webhooks are essentially sent from server to server but you can use n8n as a middle layer for more visibility and control. Think of n8n as a managed environment for your webhooks.

n8n is a visual, low-code environment that provides many "pro-level" advantages that would otherwise take you weeks to build manually.

Why Use n8n With Your Webhooks

Ease of debugging

When a webhook fails on a custom server, your next move is usually log-diving. You’re scanning timestamps, squinting at stack traces, and trying to reconstruct what went wrong after the fact.

With n8n, you don’t have to guess. You can open the "Executions" tab and see exactly what data came in, which step it reached, and where it broke. If the issue is something small like a typo or mis-mapped field, you can fix it and retry the same execution without sending a new request.

Built-in error handling and retries

In a traditional setup, if a third-party API is down when a webhook hits your server, that data can disappear unless you’ve already built a queue, retry logic, and fallback handling.

With n8n, retries are built in. You can enable "Retry on Fail" with a click, and n8n will automatically try again using exponential backoff. You can also set up a global error workflow that notifies you on Slack or email whenever something fails, so issues don’t quietly slip through the cracks.

Fast & flexible data transformation

Most webhooks send data in a format designed for their system, not yours. Reformatting JSON in code (e.g., converting dates, mapping nested objects) is tedious.

Instead of writing custom transformation code, n8n lets you reshape data visually. You can map fields, tweak values, and combine data using nodes like Set, Code, or even pull in extra context from a database or spreadsheet mid-workflow.

If your data needs change later, you simply update the workflow not the codebase.

Authentication at the middleware layer

Handling webhook security manually means validating signatures, checking headers, and making sure you don’t accidentally expose an endpoint. It’s doable, but easy to get wrong.

n8n simplifies this by handling authentication at the webhook level. You can require header-based auth, restrict access by IP, or enforce credentials before the workflow even runs. Invalid requests get rejected automatically, without touching the rest of your logic.

Multiple webhook destinations

This is a personal favorite of mine. If you want one webhook to trigger three different actions (e.g., Save to DB, Email Customer, and Update CRM), you have to write all three integrations in your destination server.

With n8n, you just branch the lines. If you decide six months from now to add a fourth destination, you just drag and drop a new node. No redeploying code required.

In the workflow shown above, data from a Retell voice call is stored after the call ends and is processed. It listens for call_analyzed webhook events from Retell and saves the information to Airtable, Google Sheets, and Notion.

Faster to build & ship

When you’re working directly with backend code, even a “simple” webhook can take time to implement, test, and deploy. With n8n, you can stand up a working webhook workflow in minutes and start iterating immediately.

That speed matters when you’re validating ideas, responding to product changes, or just trying to keep integrations from becoming a bottleneck. You spend less time setting things up and more time making sure they actually work the way you need them to.

Visual workflows that the whole team can understand

One underrated benefit of n8n is how visible your integrations become. Instead of webhook logic living in a codebase that only engineers touch, workflows are laid out visually.

That makes it easier for product managers, support teams, or even non-backend engineers to understand what’s happening when an event fires. When something needs to change, conversations are faster because everyone can literally see the flow.

For cross-functional SaaS teams, that shared understanding is a big win.

More flexibility than “trigger-and-action” tools

Compared to Zapier-style automation tools, n8n gives you far more control. You’re not locked into linear “if this, then that” flows or limited transformation steps.

You can add conditional logic, loop over data, combine multiple services, and decide exactly how failures are handled. That flexibility makes n8n better suited for SaaS workflows that evolve over time and don’t fit neatly into a single trigger-action box.

It feels less like automation basics and more like a proper integration layer.

When n8n Might Not Be the Right Choice

While n8n is an incredible force multiplier, there are specific architectural and business scenarios where you may need to avoid it in favor of custom code or specialized infrastructure.

High-volume, low-latency systems

If your product handles thousands of webhooks per second, for example, real-time trading, ad-bidding, or large-scale IoT, n8n can add unnecessary overhead. Every workflow execution involves parsing JSON and logging data for the UI, which adds latency.

In those cases, a lightweight microservice (written in Go, Rust, or Node.js) running on serverless infrastructure is usually faster and cheaper.

When the workflow is your product

If the logic inside the workflow is your core IP, it’s generally better to keep it in code.

When product logic lives inside n8n, version control, testing, and code reviews become harder. A git diff is straightforward in code, but much more complex when your workflow is stored as JSON.

Complex database logic

If your webhook needs to run multi-table transactions, heavy joins, or complex data processing directly in your production database, n8n may not be the right place for it.

n8n connects through standard database nodes, but it doesn’t give you the fine-grained control an Object-Relational Mapper (ORM) or backend service does. That can increase the risk of long-running queries, locking issues, or performance problems.

Strict compliance and privacy requirements

In regulated industries like FinTech or HealthTech, routing sensitive data through an intermediate layer can be a compliance risk even if you self-host n8n.

If your team needs end-to-end encryption or strict data handling rules, keeping webhook processing inside your own infrastructure may be the safer choice.

Multi-tenant user logic

If your product lets users trigger different workflows dynamically (think “user-defined automations”), managing that in n8n can get messy fast.

n8n isn’t designed to act as a multi-tenant backend, so if you’re building a user-facing automation feature, you may be better off with an embedded integration Platform as an iPaaS (like Tray.ai or Paragon) or a custom integration engine.

If you've had personal experience using webhooks on n8n, what do you think about this article?

Why You Should NEVER Treat Product Documentation as an Afterthought

Iyanuoluwa Fesobi — Thu, 29 Jan 2026 13:38:08 +0000

I once worked with a company that hired external technical writers to create content to promote their product. To do my work properly, I needed to understand how the product worked, so I checked out the existing documentation and it was complete chaos.

The documentation was incomplete, workflows were poorly explained, and most of their code snippets didn't work. Suffice to say the documentation was not very helpful.

I had to rely on repeated one-on-one calls with their product team to understand how their product actually worked.

While the conversations were helpful and I was able to eventually do my work, they shouldn’t have been necessary. Documentation should reduce dependency, not create it. I can only imagine how many would-be customers dropped their product out of frustration after trying to follow their documentation.

It was easy to tell that the documentation was not created alongside the product or by technical writers who were carried along in the process.

The Assumptions Behind Most Bad Documentation

In theory, documentation during product development is the standard for most companies. But that isn't always the case in practice, especially at startups, since they tend to prioritize speed over structure.

Most companies operate under the assumption that "documentation can come later."

"The product team will explain it when needed."

"Support can fill the gaps."

"Writers can figure it out after the fact."

"As long as the feature works, the job is done."

They see documentation as slowing down the product/feature shipping. So, they leave the update readme folder in their PR template to remain empty until someone asks somewhere down the line, “Do we have docs for this?”

And then, documentation becomes a cleanup task instead of an integral part of the product.

But documentation rarely works well in hindsight. When documentation is written too late and without the right context or ownership, it may be able to tell users what exists but rarely does it tell them how to use it effectively.

Treating documentation as an afterthought is a significant problem for many products.

The Dangers of Treating Docs as an Afterthought

The first and most obvious downside of treating documentation as an afterthought is that users end up confused and may abandon the product in question.

Beyond that, the following also happens:

Support teams absorb the load through repeated explanations and tickets.
Onboarding slows down, especially for self-serve SaaS products.
Internal teams lose time, relying on meetings instead of shared knowledge.
Trust erodes, even if the product itself is solid

From a business perspective, documentation is one of the cheapest ways to improve usability and retention. Ignoring it doesn’t save time or money. In fact, it may cost more money in the long run.

When teams prioritize documentation during development rather than after product release, writers can flag unclear flows before they ship.

It also allows the documentation to evolve with the product not behind it and this is especially helpful in the case of products with different versions.

Finally, proper and timely documentation naturally reduces the workload of support and acts as an important part of the product infra.

To Summarize

Product teams must always keep in mind that the product does not end at the UI. It includes onboarding, education, and long-term usability, all of which depend heavily on documentation.

Documentation is part of how users experience a product, even if they never consciously think about it.

When you treat your product documentation seriously, it improves user trust, reduces friction among internal teams and further markets an already solid product.

Basically, everything gets easier with good and timely documentation.

7 Tips on How to Implement SEO as a Technical Writer

Iyanuoluwa Fesobi — Wed, 14 Jan 2026 17:10:50 +0000

Most SEO guides are written for marketers and while technical writers can certainly benefit from some of that advice, technical pieces like documentation and product guides often have different goals.

While marketers may want to increase the time readers spend on their webpage and guide them towards a call to action, your goal as a technical writer is often for your readers to find the solution to their problem in the least amount of time.

SEO is very important as a technical writer because if your documentation isn’t showing up when users search for it, all your careful writing and diagrams might as well not exist. In this guide, I’ll share SEO strategies specifically for technical writing, so your docs, guides, or API references reach the right audience and stay discoverable.

1. Structure Content for the Search Engine

Technical documentation is already structured so use that to your advantage:

Keep a clear heading hierarchy (h1, h2, h3)
Use lists, tables, and code blocks for clarity
Most importantly, add schema markup if your platform allows it

Structured content helps search engines understand what each section is about, making your docs more likely to appear in rich snippets. It also boosts your website authority and makes your content more findable by its target audience.

2. Frame Headings Around User Questions and Tasks

By now its no secret that search engines, especially Google, have moved beyond keyword matching to semantic search. Semantic search focuses on the intent of the user searching. Users often express their real search intent through task‑oriented language.

Users rarely search for “Product X API reference” — they search for “how to do Y with Product X”.

Frame your headings and subheadings as questions or tasks where possible.

Instead of “Authentication Module,” you could write “How to Authenticate Users Using the Module”.

This aligns your documentation with user intent, which boosts discoverability.

3. Optimize Code Examples and Comment Keywords

Include code snippets with meaningful names and comments.

Search engines index code blocks so descriptive variable names and function names can help users find your content. Use comments strategically to enhance understanding and searchability, but don't overload them.

Example:

# Authenticate user and return token
token = auth_module.login(username, password)

The comment and function name improve both readability and SEO relevance. Both humans and search engines can parse this, increasing findability when users search for errors or patterns.

4. Cross-Link Related Docs Strategically

For marketing SEO, links are mostly for authority. For technical docs, links primarily serve the very important purpose of discovery. They allow users and search engines to navigate the product ecosystem seam. Link related documentation, guides, FAQs, or tutorials.

For example, a guide on “API Authentication” could link to “Error Handling” or “Token Refresh Workflow.”

This ensures users and search engines can follow the flow of your product ecosystem.

5. Monitor Support Queries and Errors

If you are an in-house technical writer with access to data like support tickets, error logs, and help center searches, then you have SEO gold in the form of real search data at your disposal.

Since you know what people are searching for concerning your product, add headings or FAQ sections that match these queries.

Addressing these real problems increases relevance for both internal and external search. You’re essentially doing SEO-driven documentation maintenance, which is unique to technical writers.

6. Use Canonical Tags Wisely

Technical documentation evolves constantly as APIs, features, and workflows change. If multiple versions of a page exist online — for example, v1.2 and v2.0 — search engines can see them as duplicate content, which may split ranking signals or cause outdated versions to appear in search results.

To prevent this, it’s important to use canonical tags, which are HTML elements that indicate the preferred or authoritative version of a page. For example, adding <link rel="canonical" href="https://docs.example.com/v2.0/authentication"> to a page tells search engines to credit this version, even if older versions still exist.

7. Focus on Accessibility for Users

True SEO for technical writers centers on the reader, not just search engines. Making your documentation effective and accessible ensures it fulfills its purpose for readers.

Use images and alternative media when they help your audience, provide descriptive alt text for screenshots, include meaningful links to related resources, and ensure a clear table-of-contents for longer pieces.

These actions help readers trust and engage with your content. It also indirectly builds your site’s authority which is a key factor in search rankings.

In Conclusion

SEO for technical writers is less about chasing clicks and more about making complex content accessible, understandable, and actionable. When you apply these tips consistently, you can be sure your docs won’t just exist online. They'll actually guide and empower the users that need them most.