1. How I First Encountered ADRs
The first time I came across the term ADRs (Architecture Decision Records) was not during a training session or while reading a blog post — it was while working on a production system that had been running for some time. My role was to keep the system healthy and evolving: applying updates, writing tests, fixing bugs, and implementing small changes requested by the business team.
One day, the commercial department asked for what seemed like a simple change in one of the reports. It was a small modification, but the report was managed by a specific team that had authorization to request alterations. As usual, I prepared the change request by email: I described what needed to be changed, how it should work, and sent it to the senior developer responsible for that part of the system.
That’s how we handled changes at the time — every request and decision lived in emails.
But as the system grew, so did the complexity. Then one day, the senior developer replied and asked me to “write an ADR” for the change instead. I had no idea what that meant. He shared a few links and suggested I study what ADRs were — and then write my first one.
That request completely changed the way I think about software architecture.
2. The Problem With Email-Driven Decisions
At first, I didn’t understand why ADRs were necessary. Writing an email seemed enough — after all, it worked for small changes. But as the system grew larger and more complex, the cracks in that approach became obvious:
- 📬 Emails got lost — after months, we couldn’t remember which email explained why a particular decision was made.
- 🧭 No traceability — future developers (or even ourselves) had no way to understand the historical context behind past decisions.
- 🔁 Repetition and confusion — without a documented history, we often discussed the same decisions multiple times.
- ❌ Lack of accountability — it wasn’t always clear who approved a change or why a certain path was chosen.
This is known as the “Email-Driven Development” anti-pattern — relying on informal communication for critical decisions. It may feel fast and flexible, but it leads to serious long-term issues: poor visibility, loss of context, inconsistent implementation, and uncontrolled technical debt.
The solution to that problem was ADRs.
3. What ADRs Really Are
ADRs (Architecture Decision Records) are lightweight documents that record important architectural decisions made during the lifetime of a software project — including what was decided and, most importantly, why.
Think of an ADR as a technical diary for your system. Each record captures one significant decision and its full context: the problem it solves, the alternatives considered, the trade-offs involved, and the implications for the future.
For example, an ADR might describe:
- Why you chose a specific database technology
- Why you changed an API structure
- Why you adopted a new design pattern
- Why you introduced a new authentication mechanism
By documenting this knowledge, you create a living history of your architecture — something future engineers can learn from and build upon.
4. Why ADRs Are a Game-Changer
Over time, I wrote many ADRs. I realized that ADRs are not just about documentation — they’re a strategic tool that transforms how a team builds software.

Here’s why they matter:
- 🧠 They preserve knowledge: ADRs turn individual, informal knowledge into structured, shared knowledge.
- 📚 They explain the “why”: They provide the reasoning behind each choice, not just the decision itself.
- 🚀 They accelerate onboarding: New team members can quickly understand the project’s evolution and avoid repeating past mistakes.
- 🤝 They align the team: Everyone shares the same understanding of trade-offs, constraints, and design principles.
- 🔄 They support system evolution: Knowing why a decision was made helps future developers evolve the system safely and intelligently.
In short, ADRs act like a map — one that keeps the project from losing its direction over time.
5. The Structure of an ADR
There’s no universal format for ADRs, but most follow a simple, effective structure:
- Title: A clear description of the decision.
- Status: Proposed, Accepted, Superseded, or Deprecated.
- Context: The problem or need that led to the decision.
- Decision: The solution chosen.
- Consequences: The impacts (positive and negative).
- Alternatives: Other options considered and why they were rejected.
Example: Adopting PostgreSQL as a Primary Database
Here’s an example of a simple ADR that was eventually accepted:
# ADR 001: Adoption of PostgreSQL as Primary Database
**Date:** 2025-SEPT-15
**Status:** Accepted
**Deciders:** Architecture Team
**Participants:** Backend Team
## Context and Problem Statement
We needed a robust relational database that could support advanced JSON operations and maintain high levels of concurrency and data integrity as the system scaled horizontally.
## Decision
Adopt PostgreSQL version 16 as the project’s primary database system.
## Detailed Rationale
The decision was made based on several key technical requirements:
- Native JSONB support for efficient storage and querying of JSON documents.
- Advanced concurrency and data consistency features (ACID compliance) essential for transactional integrity.
- Strong community support and a clear development roadmap, ensuring long-term viability.
- Full compatibility with our existing ORM tools and application stack.
## Consequences and Implications
**Positive Impacts:**
- Superior performance in complex queries involving joins and aggregations.
- Greater flexibility in the data model due to native JSONB, allowing faster iteration.
- Strong security features and robust backup capabilities.
**Risks and Negative Impacts:**
- Learning curve for team members previously familiar only with MySQL.
- Requires additional monitoring for performance tuning and advanced configuration (e.g., connection pooling).
## Alternatives Considered
### MySQL 8.0
- **Advantages:** Team familiarity, widespread market adoption.
- **Disadvantages:** Limited native JSON support compared to JSONB, weaker performance on complex queries.
- **Reason for rejection:** Technical limitations for the project’s specific data modeling and querying use cases.
### MongoDB
- **Advantages:** Excellent performance with JSON documents, high scalability for non-relational data.
- **Disadvantages:** Lack of robust ACID transactions, non-relational model fundamentally incompatible with core project data requirements.
- **Reason for rejection:** Incompatibility with the relational nature of the project's most critical data structures.
6. Best Practices I Learned Along the Way
After writing ADRs regularly, I discovered several practices that make them far more effective:
When to Use (and When Not to Use) ADRs
ADRs should not be used for everything. Use them only to document decisions with significant and long-term impact on the architecture.
| Deserves an ADR | DOES NOT Deserve an ADR |
| Choice of frameworks, languages, or databases. | Naming trivial variables or functions. |
| Changes to critical system modules. | Cosmetic or stylistic changes. |
| Definition of global design conventions. | Temporary or short-term decisions. |
Workflow Practices:
- ✍️ One decision per ADR: Keep it focused and easy to understand.
- 📁 Organize them well: Store them in a dedicated folder, like
/docs/adr/. - 🔁 Track status changes: Update the status when a decision evolves or is replaced.
- 👥 Review as a team: ADRs should be discussed and approved collectively.
- 🧰 Integrate them into your workflow: Include ADR reviews in pull requests or technical discussions.
Recommended Tools:
- 🛠️ adr-tools: CLI for creating and managing ADRs.
- 📂 GitHub/GitLab: Store ADRs as Markdown files and version them with code.
- 🧑💻 Docs-as-Code: Treat your ADRs as part of your repository, not separate documentation.
7. Final Thoughts
Writing ADRs has changed how I approach software architecture. They taught me discipline: to think critically, evaluate alternatives carefully, and communicate decisions clearly.
They also gave me peace of mind: knowing that every major architectural decision is documented, justified, and traceable.
ADRs are far more than documentation — they’re a way to capture the architectural soul of a system. If you haven’t adopted ADRs yet, I encourage you to start today.
8. Next Steps
Please note that I am still early in my journey of mastering architectural documentation, and this article serves as a basic guide to getting started with ADRs.
To deepen your understanding and explore every aspect of this topic, I strongly recommend you use the references below. For the most comprehensive overview, read them in the following sequence:
References:
- Documenting Architecture Decisions – Michael Nygard (The foundational work on the topic)
- Basics of Architecture Decision Records (ADR)
- 4 Best Practices for Creating Architecture Decision Records
- Master Architecture Decision Records (ADRs): Best Practices for Effective Decision-Making
- adr-tools – ADR CLI Tool (Practical implementation tool)
- Awesome ADR – Community Resources
- PostgreSQL Documentation (For the example context)