Claude Code for Architecture Decision (2026)

Last updated: April 17, 2026

Architecture Decision Records (ADRs) are a crucial part of sustainable software development. They document the “why” behind technical choices, making your project’s architectural evolution traceable and understandable. Claude Code can significantly accelerate your ADR workflow, from initial drafting to ongoing maintenance. This guide shows you how to use Claude Code effectively for creating and managing ADRs.

Why Use Claude Code for ADRs

Writing ADRs manually is time-consuming. You need to structure decisions consistently, consider alternatives, and articulate consequences clearly. Claude Code excels at this because it understands software architecture patterns and can generate well-structured documents in minutes rather than hours.

The key benefits include faster drafting, consistent formatting across your team’s ADRs, and improved coverage of alternatives and trade-offs. But the deeper value goes beyond speed. Many teams skip writing ADRs because the activation energy is too high, a blank page and a complex decision is a recipe for procrastination. Claude Code eliminates that blank page problem entirely.

When teams rely only on memory or tribal knowledge, new engineers spend weeks inferring “why” from the code itself. ADRs cut that onboarding cost dramatically. Claude Code makes producing them cheap enough that there is no longer a good excuse to skip them.

Claude Code vs. Manual ADR Writing: What Changes

Task	Manual Effort	With Claude Code
Draft a new ADR from scratch	45-90 minutes	5-10 minutes of review
Enumerate 3+ alternatives fairly	Often forgotten or thin	Systematically covered
Identify negative consequences	Easy to overlook	Consistently surfaced
Convert meeting notes to ADR	30-60 minutes	5 minutes
Review an existing ADR for gaps	Requires a second reviewer	On-demand, instant
Generate an ADR index	Manual upkeep, frequently stale	Regenerated in seconds

The table above reflects real patterns teams encounter. The alternative-evaluation problem is particularly worth noting. Engineers writing their own ADR for a decision they have already made tend to undersell the rejected options. Claude Code has no stake in the outcome, so it evaluates alternatives more neutrally.

ADR Formats: Choosing the Right One

Before you start generating ADRs with Claude Code, agree on a format with your team. The format you choose affects what context you need to provide in prompts. The three most common formats are compared below.

Format	Sections	Best For
Michael Nygard (original)	Title, Status, Context, Decision, Consequences	Small teams, fast cadence
MADR (Markdown ADR)	Title, Status, Context, Decision Drivers, Options, Pros/Cons, Decision, Consequences	Teams wanting structured options analysis
Y-Statements	One-sentence form: “In the context of X, facing Y, we decided Z, to achieve Q, accepting that R.”	Lightweight audit trails
RFC-style	Full problem statement, goals, non-goals, alternatives, rollout plan	Large orgs, cross-team impact

Claude Code can produce any of these. In your prompts, always name the format explicitly. Saying “write an ADR” without specifying a format will produce a reasonable default, but your team’s existing ADRs may follow different conventions and inconsistency undermines the index.

Starting a New ADR

When you need to document a new architectural decision, provide Claude Code with context about your system and the decision at hand. Here’s a practical prompt structure:

I need to write an ADR for [decision description]. Our system is [brief system context].
The context is [what prompted this decision]. Please draft a complete ADR following the
MADR format with at least 3 alternatives considered.

Claude Code will generate a comprehensive ADR that includes the title, status, context, decision, consequences, and alternatives. You can then refine it based on your specific requirements.

A Worked Example: Choosing a Message Queue

Here is what a full Claude Code prompt looks like for a real architectural decision, and what the output structure should contain.

Prompt:

I need to write an ADR in MADR format.
System context: A Node.js API that handles e-commerce order processing.
Currently it processes orders synchronously inline with HTTP requests.
We need to decouple order processing to handle traffic spikes and
support retry logic.
Decision needed: Which async messaging solution to adopt.
Please evaluate at least these three options: RabbitMQ, AWS SQS, and
Redis Streams. Include operational complexity, cost at scale, and
failure-handling characteristics for each option. Our team has
existing AWS infrastructure but limited ops experience.

Output structure Claude Code should produce:

ADR-007: Async Message Queue for Order Processing
Status
Proposed
Context
Order processing is currently synchronous within the HTTP request lifecycle.
Peak traffic (Black Friday, flash sales) causes timeouts and lost orders.
We need a decoupled queue to absorb spikes, enable retries, and allow
independent scaling of the processing workers.
Decision Drivers
- Must support at-least-once delivery with dead-letter handling
- Operational overhead must be manageable by a 4-person team
- Must integrate with existing AWS infrastructure
- Cost should remain predictable under variable load
Options Considered
Option 1: RabbitMQ (self-managed)
Mature, flexible routing, strong community
Requires cluster management, our team lacks RabbitMQ ops experience,
adds a new infrastructure dependency outside AWS
Option 2: AWS SQS (chosen)
Fully managed, native AWS IAM integration, dead-letter queues built-in,
pricing scales to zero at idle
No native topic fanout (SNS needed), maximum message size 256KB,
visibility timeout tuning required
Option 3: Redis Streams
Already in our stack as cache layer, low latency
Persistence requires AOF tuning, consumer group management is manual,
not designed for durable messaging at high volume
Decision
Use AWS SQS with a dead-letter queue (DLQ) and exponential backoff retry policy.
Consequences
Positive:
- Decoupled order workers can scale independently of the API tier
- DLQ enables alerting on processing failures without data loss
- IAM-based access requires no new credential management
Negative:
- Adds asynchronous complexity to the order flow; end-to-end tracing requires
 correlation IDs propagated through queue messages
- 256KB message size limit requires storing large payloads in S3 and passing
 references instead of inline data

This level of detail is what Claude Code can produce in a single prompt when given sufficient context. The key is that you provide the system constraints and the candidate options; Claude Code handles the analysis structure.

ADR Templates and Structure

A well-structured ADR follows a consistent format. Here’s a template you can use with Claude Code:

ADR-{number}: {Decision Title}
Status
Proposed | Accepted | Deprecated | Superseded
Context
What is the issue that we're seeing that is motivating this decision?
Decision
What is the change that we're proposing and/or doing?
Consequences
What becomes easier or more difficult to do because of this change?
Alternatives Considered
- Option 1: [description]
- Option 2: [description]
- Option 3: [description]

When working with Claude Code, reference this structure explicitly in your prompts. For example:

Create an ADR using the MADR format for migrating our authentication
system from JWT to OAuth 2.0 with PKCE. Include security considerations,
implementation complexity, and three alternatives: SAML, session-based
auth, and the chosen option.

Storing the Template in Your Repo

One practical pattern is storing your team’s canonical ADR template as a file that Claude Code can read during the session. When you run Claude Code from your repository root, you can reference it directly:

Read docs/adr/TEMPLATE.md and use it as the exact format for a new ADR
about switching our ORM from Sequelize to Prisma. The repo is a
multi-tenant SaaS app on PostgreSQL 15. Evaluate migration risk,
type safety improvements, and raw query support.

This approach keeps your ADR format locked to whatever your team maintains in the template file rather than relying on Claude Code’s default interpretation.

Bulk ADR Generation

For larger projects with multiple related decisions, you can generate several ADRs in one session. This is particularly useful during major refactoring or when adopting new technology stacks:

Generate 5 ADRs for migrating our monolithic application to microservices:
Decomposition strategy
Inter-service communication (REST vs gRPC)
Data management approach (database per service vs shared database)
Service discovery mechanism
Deployment infrastructure (Kubernetes vs serverless)

Claude Code will create interconnected ADRs with proper cross-references, ensuring your architectural documentation remains coherent.

When decisions are interdependent, your ADRs should reference each other explicitly. Ask Claude Code to wire them together:

I have three ADRs already: ADR-001 (monorepo strategy), ADR-003 (CI pipeline),
and ADR-006 (deployment targets). I am now writing ADR-009 about branching
strategy. Please identify where ADR-009 should reference the earlier decisions
and add those cross-references in the Consequences section.

This kind of cross-linking turns a flat list of ADR files into a navigable decision graph. Future engineers can trace why a decision was made by following the reference chain.

Reviewing and Improving Existing ADRs

Claude Code is not just for creating new ADRs, it excels at improving existing ones. Use it to identify gaps, strengthen arguments, and ensure consistency:

Review this ADR for completeness and suggest improvements. Check if:
- All consequences are covered (positive and negative)
- Alternatives are fairly evaluated
- The decision is clearly justified
- Technical details are accurate
[paste your ADR here]

This approach helps catch omissions before your ADRs become historical records that future developers will rely on.

A Review Checklist to Use in Prompts

Rather than a generic review request, a structured checklist prompt produces more actionable feedback:

Review the following ADR against this checklist and score each item
as Pass, Partial, or Fail with a one-line explanation:
1. Does the Context section explain what external or internal force
 prompted this decision?
2. Are at least two rejected alternatives described with honest
 trade-off analysis?
3. Does the Decision section name a single clear choice (not a range)?
4. Are negative consequences listed, not just positive ones?
5. Is the ADR self-contained (understandable without access to
 external documents or Slack threads)?
6. Is the Status field set and accurate?
[paste ADR here]

The score format forces a concrete verdict on each dimension rather than vague impressions, and it gives you a prioritized list of what to fix.

Converting Legacy Decisions to ADRs

Many teams have architectural decisions buried in Slack threads, meeting notes, or implicit knowledge. Claude Code can help formalize these:

Convert these meeting notes about our caching strategy into a proper ADR.
Extract the context, decision, and consequences. Add two alternatives we
considered but rejected, with brief reasoning.
[paste meeting notes]

This transforms scattered knowledge into actionable documentation.

Reconstructing Decisions from Code

Sometimes there are no meeting notes, just code that reflects a decision no one wrote down. Claude Code can help reconstruct the ADR by reasoning from the implementation:

I'm going to show you a segment of our infrastructure code. Based on
what you see, reconstruct the likely architectural decision that led
to this design as an ADR. Make reasonable inferences about why this
approach was chosen over simpler alternatives, based on the patterns
visible in the code.
[paste Terraform or config code]

The resulting draft will need validation from someone who was in the room, but it gives reviewers a concrete document to react to rather than starting from nothing. That alone cuts the meeting time needed to reconstruct the context.

Integration with Version Control

For optimal ADR management, store ADRs in your repository with a clear naming convention. Claude Code can help you maintain this organization:

Create an ADR about implementing feature flags. After drafting, suggest
a filename following the pattern ADR-{YYYY}-{number}-{short-title}.md
and propose where in our repo structure this should live.

Common patterns include docs/adr/ or architecture/adr/ directories at your repository root.

Maintaining an ADR Index

A single index file makes your ADR collection navigable. Claude Code can generate and update this index from your existing files:

I have the following ADR files in docs/adr/ (titles and statuses listed below).
Generate an updated INDEX.md with: a table sorted by number, columns for
number/title/status/date, and a brief one-line summary for each.
ADR-001: Monorepo structure (Accepted, 2024-02)
ADR-002: Frontend framework selection (Accepted, 2024-03)
ADR-003: Database choice (Accepted, 2024-03)
ADR-004: API versioning strategy (Proposed, 2024-05)
ADR-005: Authentication approach (Accepted, 2024-06)

Run this prompt whenever you add or change ADRs, and commit the updated index alongside the ADR file itself.

Automating ADR Reviews in CI

You can set up Claude Code to review ADRs as part of your pull request process. Create a simple script that invokes Claude Code on new or modified ADR files:

#!/bin/bash
review-adrs.sh. runs in CI on PRs that touch docs/adr/
CHANGED_ADRS=$(git diff --name-only origin/main...HEAD | grep -E "docs/adr/.*\.md$")
if [ -z "$CHANGED_ADRS" ]; then
 echo "No ADR changes detected."
 exit 0
fi
for file in $CHANGED_ADRS; do
 echo "Reviewing: $file"
 claude --print "Review this ADR for quality and completeness.
 Check that alternatives are present, consequences include negatives,
 and the decision is unambiguous. Output PASS or FAIL with a short
 explanation." < "$file"
done

Wire this into your CI pipeline as a non-blocking check that posts results to the PR. You can make it blocking for ADRs in Accepted status while keeping it advisory for Proposed ones.

GitHub Actions Integration

Here is a minimal GitHub Actions workflow that runs the ADR review script on pull requests:

name: ADR Review
on:
 pull_request:
 paths:
 - 'docs/adr/'
jobs:
 review-adrs:
 runs-on: ubuntu-latest
 steps:
 - uses: actions/checkout@v4
 with:
 fetch-depth: 0
 - name: Install Claude Code
 run: npm install -g @anthropic-ai/claude-code
 - name: Review changed ADRs
 env:
 ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
 run: bash scripts/review-adrs.sh

This does not replace human review of ADRs, but it catches structural problems before a human reviewer has to point them out. Reviewers can then focus on the substance of the decision rather than formatting issues or missing sections.

Handling ADR Status Transitions

ADRs move through states over the life of a project. Claude Code can help manage the transitions cleanly.

Transition	When It Happens	What to Update
Proposed → Accepted	Team approves the decision	Status field, add date
Accepted → Deprecated	Technology or context changes	Status, add Deprecation Rationale section
Accepted → Superseded	A new ADR replaces this one	Status, add “Superseded by ADR-XXX”
Proposed → Rejected	Decision is actively rejected	Status, document why in Consequences

When you need to mark an ADR as superseded, use Claude Code to generate both documents together:

ADR-003 documents our decision to use REST for inter-service communication
(pasted below). We have now decided to migrate to gRPC for performance
reasons. Please:
1. Generate the new ADR-011 for the gRPC decision
2. Produce the updated ADR-003 with Status changed to
 "Superseded by ADR-011" and a brief note in the Consequences
 section explaining the supersession
[paste ADR-003]

Doing both in the same session ensures the cross-references are correct and consistent.

Best Practices for Claude Code ADR Workflows

When using Claude Code for ADRs, keep these tips in mind:

Always provide context about your system. The more Claude Code knows about your architecture, the better its recommendations. Review generated drafts carefully, Claude Code produces solid foundations but you should validate technical accuracy.

Use consistent templates across your team. Establish your ADR format early and reference it in every prompt. Iterate rather than accept first drafts. Use Claude Code’s output as a starting point and refine based on team discussions.

Consider maintaining an ADR index. Create a master document that lists all ADRs with their status and relationships. Claude Code can help generate and update this index.

Additional practices worth adopting:

Keep ADRs short on purpose. An ADR that exceeds two pages is usually trying to be a design document. If you find Claude Code generating very long outputs, constrain the prompt: “Keep the total ADR under 600 words. Be concise.” Brevity forces clarity.

Write ADRs at decision time, not retrospectively. Claude Code makes this cheap enough that there is no reason to defer. Make it a team norm that a decision is not final until an ADR exists in draft form. Use Claude Code to produce the draft in the same meeting where the decision is made.

Assign ADR numbers sequentially and do not reuse them. Rejected or superseded ADRs should stay in the repository with their status updated, not deleted. The historical record is the point.

Tag ADRs with the components they affect. This makes it possible to answer “what decisions govern the authentication subsystem?” without reading every ADR. Claude Code can help you generate consistent tags based on the decision content.

Conclusion

Claude Code transforms ADR creation from a tedious chore into a streamlined workflow. By generating well-structured drafts, identifying gaps in existing documents, and helping maintain consistency, it lets your team focus on the technical decisions themselves rather than the documentation overhead.

The practical gains are real: drafts in minutes instead of hours, more thorough alternatives analysis, and a lower activation energy barrier that means more decisions actually get documented. Over the life of a project, the compounding value of a complete ADR history, one that new engineers can actually navigate, is significant.

Start by using Claude Code for your next architectural decision. You will be surprised how much time you save while producing better documentation that your future self will thank you for.

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