Why Writing Architecture Docs Is Painful (And How to Fix It)

Why system documentation often fails, and how modern tools like auto-documentation can save your team time, effort, and sanity.

👋 Hi, this is Thomas, with a new issue of “Beyond Code: System Design and More”, where I geek out on all things system design, software architecture, distributed systems and… well, more.

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QUOTE OF THE WEEK:

“When in doubt, document. Documentation requirements will reach a maximum shortly after the termination of a program.” - Akin's Laws of Spacecraft Design

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If you’ve ever tried starting a meeting with, “We need to document the architecture,” you’ve probably been met with eye-rolls, sighs, or even someone walking out of the room. That’s how painful architecture documentation can be. Yet, not having it—or relying on outdated versions—is even worse.

Here’s the hard truth: software architecture without documentation is incomplete.

Good documentation is the difference between projects that thrive and those that unravel. It ensures your system is understood, thoughtfully designed, and clearly communicated. It boosts team productivity, improves onboarding, and elevates the quality of your software.

But why is it so painful to get right?

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Why Documentation Is So Hard

1. Overhead for developers
   Developers are builders. Writing documentation feels like a chore, and it’s often unpredictable in scope. Deadlines loom, and documentation gets postponed—or forgotten.

2. Complexity overload
   Distributed systems are growing more intricate, with more components, services, and dependencies than ever before. Capturing all of this accurately is daunting.

3. Constant change
   Systems evolve quickly—new features, organizational shifts, and external changes make static documentation obsolete almost as soon as it’s written.

4. No modern standards
   Traditional documentation-heavy approaches don’t align with agile principles. Meanwhile, tools like whiteboards or static diagrams fail to meet the dynamic needs of today’s systems.

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What Great Documentation Looks Like

Creating architecture documentation that is both effective and sustainable requires meeting several key criteria. While some characteristics are more critical than others, all contribute to making the documentation a reliable and powerful tool for your team. Here’s what great documentation should embody (in my opionion):

1. Real-Time
   Documentation should act as a dynamic source of truth for the full architecture of your system. It needs to reflect the current state of your system, including changes, dependencies, and even technical debt. Outdated documentation isn’t just unhelpful—it’s actively misleading.

2. Automatic
   Manual documentation is time-consuming and prone to human error. Great documentation should be automatically generated and updated as part of your development workflows. This ensures that no changes go undocumented and that critical knowledge isn’t lost when team members leave.

3. Thorough
   A complete system architecture includes not just the what but the why. Capturing architectural decisions from the very beginning—along with the trade-offs and context—ensures that you can revisit those decisions to validate if they still meet business needs.

4. Accessible
   Documentation isn’t just for engineers. Business stakeholders, product managers, and other non-technical team members also need visibility into the architecture. While the level of detail required will vary, the documentation must be written in a way that bridges the gap between technical and non-technical audiences.

5. Consistent
   A shared language and uniform style across your documentation are crucial for clarity. This includes consistent use of terminology, formatting, and visual styles.

6. Interactive
   Software architectures are rarely static. Teams often experiment with new capabilities, pilot features, or adapt designs as requirements evolve. Great documentation tools allow for interactive visualizations, enabling teams to prototype changes and explore potential impacts without committing to permanent adjustments.

7. Contextual
   Not all team members need the same level of detail. For example, a business executive may only require a high-level overview, while an engineer needs a deep dive into specific APIs, dependencies, and version histories. Great documentation allows for customizable visibility, tailoring the level of detail to the audience without overwhelming them with unnecessary information.

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The Solution: Automation and Collaboration

Historically, we’ve tried many ways to fix this problem.

• Developers write the docs: Usually deprioritized or half-hearted.

• Hire technical writers: Leads to chasing down engineers for updates.

• Make it mandatory: Rarely works without cutting into development time.

What’s missing? Modern tools for auto-documentation.

Technologies like OpenTelemetry and LLMs are game-changers. They automate the creation of accurate, real-time documentation, removing the heavy lifting from developers and ensuring no knowledge is lost when systems evolve or team members move on.

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Final Thoughts

We can’t escape the need for architecture documentation—it’s the backbone of productivity, collaboration, and software quality. But we can make the process less painful.

It’s time to rethink how we approach documentation.

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💜 This newsletter is sponsored by Multiplayer.app.

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I originally wrote about this topic in this article:

How to take the Pain out of Architecture Documentation

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📚 Interesting Articles & Resources

Continuous deployment for large monorepos at Uber - Rasmus Vestergaard and Kasper Munck

Uber's engineering team discusses the challenges and solutions associated with implementing continuous deployment (CD) in large monorepositories containing over 4,500 microservices across three monorepos, handling approximately 5,600 commits per week.

I have seen this mistake in production. The Dual Write Problem is not a myth. - Raul Junco

Junco underscores the importance of balancing ease of development with operational robustness. Developers should avoid treating defaults as "good enough" and instead prioritize designing for real-world scenarios.

Navigating the scale: how design patterns power LinkedIn’s infrastructure - Saira Khanum

Khanum explains how LinkedIn leveraged established patterns such as Singleton, Factory, and Observer to create modular and reusable components, to address the complex engineering challenges of such a large platform.

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