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Architecture & Wiki August 15, 2026 โ€ข 7 min read

The Pragmatic Guide to Architecture Decision Records (ADRs)

How to document critical system architecture decisions without slowing down your sprints or building bureaucratic doc silos.

Every software engineer has experienced this scenario: You join a new project or inherit a legacy service. You open the codebase, find an unexpected architectural patternโ€”like an esoteric custom caching layer or a non-standard database choiceโ€”and ask the team: "Why did we do it this way?"

The answer is almost always: "Dave built that three years ago. Dave left last December. We think it was because of some scaling issue, but nobody remembers the details."

This is tribal knowledge debt. And the standard enterprise cureโ€”forcing engineers to write 30-page design specifications in Confluenceโ€”is so painful that teams abandon it after two sprints.

The modern, pragmatic solution is the Architecture Decision Record (ADR).

What is an Architecture Decision Record?

An ADR is a short, immutable Markdown document that captures a single significant architectural decision along with its context, rationale, and acknowledged trade-offs.

First popularized by Michael Nygard in 2011, a pragmatic ADR is typically less than one page long and can be drafted in under 15 minutes.

The 5 Essential Anatomy Points of a Pragmatic ADR

1. Title & Sequential ID

Number your ADRs sequentially (`ADR-0001`, `ADR-0002`) with a concise title. Example: `ADR-0014: Standardize on PostgreSQL and Drizzle ORM for Data Layer`.

2. Status

Keep status strictly defined: Proposed, Accepted, Rejected, Deprecated, or Superseded. Once an ADR is accepted, it is never editedโ€”if the decision changes later, write a new ADR that supersedes the old one.

3. Context (The "Why")

Describe the business or technical constraints forcing this decision. What problem are we solving? What are the non-functional requirements (latency, cost, compliance)?

4. Decision Outcome (The "What")

The clear, direct choice made. Include a visual system diagram using Mermaid.js syntax whenever data flow or component boundaries are modified:

graph TD
  ClientApp[React Client] --> FastifyAPI[Fastify API Gateway]
  FastifyAPI --> DrizzleORM[Drizzle ORM]
  DrizzleORM --> PostgresDB[(PostgreSQL RDS)]

5. Consequences & Trade-offs

Every architectural choice has trade-offs. Be explicit about both positive gains and negative burdens. If you choose microservices, document the increased observability overhead. If you choose GraphQL, document the caching complexity.

Why Traditional ADRs Fail: The "Disconnected Repo" Trap

Many teams attempt to store ADRs as flat Markdown files in a /docs/adr folder inside their Git repository. While this is great in theory, it introduces a major usability flaw:

  • Product managers and QA leads never see them because they live in Git.
  • Developers actively working on Jira/sprint cards don't check the /docs folder before starting a story.
  • Cross-repository decisions (e.g. Frontend + Backend contract changes) become fragmented across multiple git repos.
"Architecture records only protect your codebase if they are visible at the exact moment an engineer picks up an active sprint task."

This is why modern teams embed their engineering wiki directly into their project management tool. In Klority, you can link an ADR directly to an Epic or Sprint Task card, ensuring that every engineer assigned to the ticket reads the architectural contract before writing code.

Generate Your First ADR in Seconds

To help engineering teams adopt standardized decision logs without boilerplate friction, we built a free browser-based tool:

Free Online ADR & RFC Generator

Draft, preview Mermaid diagrams, and export clean Markdown files in your browser.

Open ADR Generator โ†’

Klority's built-in engineering wiki includes native Mermaid diagram rendering, slash commands, and deep task linking. Explore Klority Wiki or start your free solo workspace today.

Shan - Founder & Engineering Lead at Klority

Shan

Founder & Engineering Lead

"Shan is the founder and lead architect behind Klority. Passionate about lean software engineering, pragmatic architecture, and eliminating tooling bloat."