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What Makes Writing Code Documentation a Challenge

DocumentationUpdated: May 30, 2026
Dragos
Dragos
Founder, robot with feelings. From planet Aiur.

We’ll talk about the challenges of documenting code and offer some possible solutions to make it easier to write as well as consume.

What Makes Writing Code Documentation a Challenge

Code documentation is notoriously difficult to write, which is why technical writers and developers often avoid this task.

Nevertheless, even the best software needs to be extensively documented to facilitate the work of developers building it and enhance the experience of the people who use it.

In this article, we’re talking about the challenges of documenting code and offering some possible solutions to make it easier to write as well as consume.

The first challenge lies in the very nature of code and the fact that it isn’t written primarily for humans.

Code Is Not Linear#

Most technical writing is, at its core, sequential. It describes procedures and provides instructions in chronological order, from one step to the next.

That’s because the intended reader of this kind of writing needs to replicate those steps so that they can achieve a desired result.

Here’s a quick example from a troubleshooting guide for connectivity issues in the communication app Slack:

Troubleshooting guide for connectivity issues in Slack

Source: Slack

As you can see, the solution to the issue unfolds in chronological steps, which makes it easy for the reader to comprehend and apply them.

Code documentation is different. Code is written to be understood primarily by machines, meaning it doesn’t have to be written in a linear way.

Tom Johnson, widely regarded as a leading expert in technical writing, puts the problem succinctly:

Code itself is non-linear. What appears at the top (e.g., variables) might not be implemented until functions at the bottom. Functions defined at the bottom might be run inside other code blocks in the middle, and so on. When you’re given a chunk of code to document, its assembly order isn’t apparent at all.

So, how do you explain or describe (document) non-linear code to a reader who needs the explanation to be delivered linearly to understand it?

Unfortunately, there’s no straightforward answer. Writers have to get creative and possibly employ some UI devices to help the reader connect their writing to the correct code segment.

Stripe uses an interesting approach here. In Stripe’s documentation, clicking on a particular step in a procedure will highlight both the textual explanation and the section of the code it refers to.

So, for instance, the second step in the following document (“Define a product to sell”) refers to lines 18-22 in the code.

The following document (“Define a product to sell”) refers to lines 18-22 in the code

Source: Stripe

To sum up, text intended for humans follows a different logic than code, in that the former needs to be presented in a linear way, while the other doesn’t.

This is something of a challenge for the technical writer documenting the code, but this challenge can be overcome with some creativity and a clever UI element.

The Need to Know Programming Languages#

Technical writers cannot be expected to adequately document code if they don’t understand it. And this extends beyond just being able to read multiple programming languages.

They also need to be knowledgeable enough to explain to the developers reading the documentation what the code does and how it’s implemented.

This presents a challenge because technical writers don’t always come from a technical background.

In fact, according to data gathered by Zippia, most of them come into the field with a degree in English, business, communication, or some other non-technical field.

Most technical writers have a degree in English, business, communication, or some other non-technical field

Source: Zippia

Technical writers documenting code need to be proficient communicators as well as technology enthusiasts, and that’s a difficult combination to come by.

However, there’s a silver lining here.

Since good writers proficient in code are rare, technical writers who invest their time in learning one or preferably multiple programming languages stand to significantly advance their careers.

Best of all, learning to code has never been easier, thanks to online learning platforms such as Udemy and Codecademy, which allow aspiring developers and technical writers to progress at their own pace and from the comfort of their own homes.

Here's a blog post about best practices in code documentation for software engineers you should follow.

So, for anyone who wants to upgrade their career and work as a technical writer who can competently document code, it’s a good idea to take up learning some programming languages.

According to Stack Overflow, these are the most popular ones:

According to Stack Overflow, these are the most popular programming languages

Source: Stack Overflow

So, if you think about it, the need to know programming languages is an opportunity as well as a challenge when it comes to documenting code.

Writers who invest in learning the basics of coding will never struggle to find work.

Code Documentation Needs to Be Updated#

The unique thing about software, games, and other code-based products is that they keep evolving and changing long after launch.

And as the product changes, so must the documentation that explains its code.

This is quite different from other forms of technical writing, where documentation, once written, doesn’t need to be updated in any way.

Take a manual for a washing machine, for example.

The product it serves is a piece of hardware that’s always going to be used the same way, meaning this type of documentation can even work in a printed format.

Washing Machine Instruction Manual from Yumpu

Source: Yumpu

However, a technical writer documenting code needs to stay on top of the changes made to the product so that they can update the documentation along with it.

This means that, in addition to being excellent communicators with a working knowledge of coding, these technical writers need to be organized and detail-oriented so that no change is implemented without an update to the documentation.

And these updates can happen multiple times a month, which means extra work for technical writers who already have their hands full.

For example, have a look at how the code documentation for Salesforce’s Lightning Web Components has changed in the late months of 2023:

How the code documentation for Salesforce’s Lightning Web Components has changed in the late months of 2023

Source: developer.salesforce.com

As with any type of technical documentation, code documentation is completely useless if it’s not accurate.

In this case, that means that every change to the code requires the documentation to be updated, providing additional challenges.

Developers Have Different Skill Levels#

Technical writers documenting code often have a very generic target audience to write for: developers.

This might seem pretty straightforward, but it’s actually quite problematic because developers consuming this kind of documentation have wildly different skill levels.

The challenge this presents is writing documentation that’s easy enough for junior programmers to understand and use but not so basic that they bore more experienced developers who don’t need everything spelled out for them.

Unfortunately, this is another challenge that doesn’t have a simple solution since documentation can’t be two things simultaneously.

There are some strategies for approaching this issue, though.

The first one is opting to over-explain the code.

After all, risking the boredom of senior developers should be preferable to leaving less experienced developers completely in the dark and unable to do their work effectively.

So, take the time to explain the basic terms and show the reader how to do the simplest actions with the code.

Coding newbies will definitely appreciate it, while seniors are free to skip the basics.

GitHub Developer ''Getting Started'' section

Source: Zapier

Your other option is to present the documentation without additional explanations to avoid wasting the reader’s time but to embed links into the text that will take the reader who needs more information to a separate page where they can find it.

Using GitHubCLI in GitHub Actions

Source: GitHub

A technical writer needs to find ways to document code accessible to developers of all skill levels.

This can be challenging, but the key is to provide access to every valuable bit of information, even if that means transporting the reader to a different resource.

Documentation Needs to Be Organized#

The last challenge in writing code documentation actually stems from some of the other problems we’ve discussed in this article.

As we’ve seen in the first section, code and text are often written side by side in this type of documentation, meaning it would be impossible to write it using regular text editing software (such as Word or Google Docs, for example).

Clearbit Screenshot

Source: Clearbit

We also mentioned that code documentation needs to be updated along with the product in order to stay accurate and relevant to the software.

In that case, it needs to be structured in a way that enables users to efficiently track their documents and find them easily when they need to verify or change them.

In other words, code documentation needs to be neatly organized to prevent inaccuracies and information loss and facilitate easy consumption on the part of the reader and management on the part of the writer.

To tackle this problem, technical writers use advanced software documentation that has features that make writing, publishing, and managing code documentation a more manageable and enjoyable task.

For example, Archbee boasts a powerful multi-language code editor that enables writers to input live code into their documents as easily as they do text.

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Archbee multi-language code editor function

Source: Archbee.com

Alternatively, Archbee can be integrated with other products and platforms, like GitHub, for example.

That makes it possible to document the code in GitHub and sync it with Archbee to create neat, shippable documentation.

Document the code in GitHub and sync it with Archbee to create neat, shippable documentation

Source: www.archbee.com/docs/github

This kind of software has other features that help you stay on top of your documentation. The one that’s very relevant with regard to the organization is document verification.

Archbee’s version of this feature allows you to set up automated alerts that let you know that some time has passed since the document was last updated and that it needs to be verified for accuracy.

Source: Archbee on YouTube

Just choose the person you want to carry out the verification (or modification if the document needs an update) and set the verification cycle, and you’ll never have an outdated code document again.

So yes, code documentation needs a bit more organization than regular technical writing. But this challenge is easily overcome with the right code documentation tools at your disposal.

Conclusion#

In this article, we examined the five aspects of documenting code challenge that make it so difficult to write.

Some of these challenges stem from how programming languages work, while others arise from the specific skills and tools needed to write it.

We also shared tips to help you overcome these challenges and write code documentation with speed, skill, and accuracy.

In the end, we’ve proven that, where code documentation is concerned, every problem really does have a solution.

FAQ#

Frequently Asked Questions

Because you’re turning a non‑linear, machine‑centric system into a clear, linear, human‑friendly guide—while the codebase keeps evolving and different readers need different levels of depth.

What makes it hard:

  • Non‑linear code vs. linear reading: Execution jumps across files, events, and services, but readers need a step‑by‑step narrative.
  • Real technical fluency required: You must understand languages, APIs, data flow, and edge cases to explain not just what happens but why.
  • Constant change: Releases, refactors, and deprecations can make docs obsolete quickly.
  • Mixed audience: Juniors need context and hand‑holding; seniors want precision and brevity.
  • Organization at scale: Without structure, docs become hard to find, trust, and maintain.

How to make it easier:

  • Map prose to code: Link each explanation to the exact file, function, or line range it refers to.
  • Level up your tech skills: Learn 1–2 popular languages (e.g., JavaScript, Python) and the tooling developers use.
  • Adopt docs‑as‑code: Use version control, PR checklists, reviews, and verification reminders so docs change with code.
  • Write for all levels: Offer skim‑friendly summaries and overviews, then link to deeper concepts, examples, and references.
  • Use purpose‑built tools: Choose platforms with live code blocks, language tabs, and GitHub sync (e.g., Archbee).
  • Assign ownership: Make sections clearly owned so updates don’t fall through the cracks.

Impose a clear storyline on top of the real control flow, then let readers drill down when they need more detail.

Practical approach:

  • Start with outcomes: State what the system does and the primary use case before diving into internals.
  • Walk the happy path first: Present the minimal end‑to‑end flow; handle edge cases and alternates afterward.
  • Tie steps to code: Number steps and map each one to specific files, functions, or line ranges; link anchors where possible.
  • Add compact visuals: A small sequence or flow diagram can clarify control and data movement at a glance.
  • Cross‑link liberally: Link terms to definitions, related modules, and deeper concepts so readers never lose the thread.
  • Keep examples runnable: Provide copy‑paste snippets, prerequisites, and expected output so readers can validate quickly.
  • Use UI aids where available: Sync highlights between steps and code blocks to reinforce the mapping.

This gives readers a linear path to understanding while preserving access to the system’s true, non‑linear structure.

Yes—enough to read, run, and reason about code with confidence. You don’t have to be a senior engineer, but you should be able to:

Core capabilities:

  • Trace execution flow and recognize common patterns, data types, and control structures.
  • Work with APIs (auth, request/response shapes, pagination, errors) and run examples locally.
  • Use developer tools like Git/GitHub, package managers, linters, formatters, and debuggers.

Why it’s worth it:

  • Sharper, more accurate docs with fewer back‑and‑forths.
  • Smoother collaboration and faster reviews with engineering teams.
  • Career upside—writer‑developers are rare and highly valued.

A practical learning path:

  • Pick 1–2 popular languages (e.g., JavaScript or Python) and build tiny demos that mirror your docs.
  • Adopt docs‑as‑code habits with Git and pull‑request workflows.
  • Pair with engineers to validate mental models during reviews.
  • Use self‑paced resources like Udemy, Codecademy, and MDN.

Rule of thumb: if you can follow a request from UI → API → database (and back), fix a broken example, and explain the “why,” you’re at a solid baseline.

Software changes constantly—features ship, APIs evolve, and refactors move logic. If docs don’t change in lockstep, accuracy decays fast.

How to keep docs current:

  • Make docs part of “done”: Add documentation to PR and release checklists; block merges when required updates are missing.
  • Version docs with code: Keep docs in the repo or sync them; maintain clear changelogs and deprecation notices.
  • Assign ownership: Give each critical section a named maintainer with clear accountability.
  • Schedule verification: Set recurring reminders to review high‑impact pages and catch drift early.
  • Automate where possible: Generate API references from source and sync code examples from your code host (e.g., GitHub).
  • Measure freshness: Track time‑to‑update after code changes and doc coverage for major features.

Adopting a docs‑as‑code mindset prevents drift and cuts firefighting after releases.

Well‑organized docs are predictable, searchable, and version‑aware—so people can find, trust, and maintain them.

What good structure includes:

  • Clear information architecture: Overview → Getting Started → Concepts → Tutorials → How‑tos → Reference → Troubleshooting.
  • Consistent templates: Standardize formats for APIs, guides, and examples to reduce cognitive load.
  • Strong discoverability: Intuitive navigation, meaningful tags, and search that surfaces the right page fast.
  • Versioning and changelogs: Readers can match docs to the product version they use.
  • Code aligned with text: Language tabs, copy buttons, and examples mapped to specific functions or lines.

Tools that help:

  • Docs platforms with live code blocks and GitHub sync (e.g., Archbee) to keep examples accurate.
  • Automated verification to prompt periodic reviews and prevent stale pages.

Why it matters:

  • Faster onboarding, fewer support tickets, and smoother updates for both readers and writers—tangible wins for your product and team.

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