adr-writer

Document architecture decisions with clear context, alternatives, and consequences.

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Install skill "adr-writer" with this command: npx skills add monkey1sai/openai-cli/monkey1sai-openai-cli-adr-writer

ADR Writer

Document architecture decisions with clear context, alternatives, and consequences.

ADR Template

ADR-001: [Title of Decision]

Status: Proposed | Accepted | Deprecated | Superseded by ADR-XXX Date: 2024-01-15 Deciders: Alice (Tech Lead), Bob (Principal Engineer) Owner: Alice

Context

What is the issue we're facing? What factors are driving this decision?

We need to choose a database for our new analytics service. Current requirements:

  • 10M+ events per day
  • Complex aggregation queries
  • Real-time dashboards
  • Budget: $5k/month
  • Team familiar with SQL

Decision

We will use PostgreSQL with TimescaleDB extension.

Alternatives Considered

Option 1: PostgreSQL + TimescaleDB (CHOSEN)

Pros:

  • Team already knows PostgreSQL
  • Time-series optimization for analytics
  • Reliable and proven
  • Good query performance
  • Reasonable cost (~$3k/month)

Cons:

  • Requires manual scaling effort
  • Not purpose-built for analytics

Option 2: ClickHouse

Pros:

  • Excellent query performance for analytics
  • Built for analytics workloads
  • Column-oriented storage

Cons:

  • Team unfamiliar with ClickHouse
  • Steeper learning curve
  • Different query syntax

Option 3: BigQuery

Pros:

  • Fully managed
  • Excellent for analytics
  • Scales automatically

Cons:

  • Higher cost (~$8k/month for our volume)
  • Vendor lock-in to GCP
  • Less control over optimization

Tradeoffs

What we're optimizing for:

  • Team velocity (familiar tech)
  • Cost efficiency
  • Good enough performance

What we're sacrificing:

  • Peak analytical performance (vs ClickHouse)
  • Fully managed experience (vs BigQuery)

Consequences

Positive

  • Development can start immediately (no learning curve)
  • Lower operational costs
  • Can reuse existing PostgreSQL expertise
  • Easy integration with current stack

Negative

  • Will need to manually optimize queries
  • May need to revisit if we scale 10x
  • Requires more operational work than BigQuery

Risks

  • Performance may degrade at 100M+ events/day
  • Mitigation: Monitor query performance, plan migration at 50M events/day

Implementation Notes

  • Use TimescaleDB hypertables for event storage
  • Implement continuous aggregates for common queries
  • Set up read replicas for dashboard queries
  • Document scaling runbook at 50M events/day

Follow-up Actions

  • Provision PostgreSQL + TimescaleDB cluster (Alice, by 2024-01-20)
  • Create migration script from MySQL (Bob, by 2024-01-22)
  • Set up monitoring dashboards (Alice, by 2024-01-25)
  • Document scaling thresholds (Alice, by 2024-01-30)

References

Revision History

  • 2024-01-15: Initial draft (Alice)
  • 2024-01-16: Added cost analysis (Bob)
  • 2024-01-17: Accepted by architecture review board

ADR Numbering

ADR-001: Initial System Architecture ADR-002: Database Selection for Analytics ADR-003: Authentication Strategy ...

Status Workflow

Proposed → Accepted → Implemented ↓ Rejected

Accepted → Deprecated → Superseded by ADR-XXX

Common Decision Types

Technology Selection:

  • Database choice

  • Framework selection

  • Cloud provider

  • Programming language

Architecture Patterns:

  • Microservices vs Monolith

  • Event-driven vs Request-response

  • Sync vs Async communication

Infrastructure:

  • Deployment strategy

  • Monitoring approach

  • Scaling strategy

Security:

  • Authentication method

  • Data encryption approach

  • Access control model

Quick Start Guide

1. Create new ADR

cp templates/adr-template.md docs/adr/ADR-042-title.md

2. Fill in sections

- Context: Why are we making this decision?

- Decision: What did we decide?

- Alternatives: What else did we consider?

- Consequences: What are the impacts?

3. Review with team

- Share in architecture channel

- Get feedback from stakeholders

- Iterate on alternatives

4. Update status to "Accepted"

5. Link from main architecture docs

Best Practices

  • Write ADRs for significant decisions: Not every choice needs an ADR

  • Document alternatives: Show you considered options

  • Be honest about tradeoffs: Every decision has downsides

  • Keep it concise: 1-2 pages maximum

  • Update status: Mark deprecated/superseded ADRs

  • Link related ADRs: Create decision trails

  • Include follow-ups: Action items with owners

Anti-Patterns

❌ Too detailed: 10-page ADRs nobody reads ❌ No alternatives: Looks like decision was predetermined ❌ Missing consequences: Ignoring downsides ❌ No owner: Nobody accountable ❌ Outdated status: Old ADRs marked "Proposed"

Review Checklist

  • Clear problem statement in Context

  • Decision is stated explicitly

  • 2+ alternatives considered

  • Tradeoffs honestly assessed

  • Consequences (positive and negative) documented

  • Risks identified with mitigations

  • Decision owner assigned

  • Follow-up actions with deadlines

  • Status is current

Output Checklist

  • ADR document created

  • Context explains the problem

  • Decision clearly stated

  • 2-3 alternatives documented

  • Tradeoffs section filled

  • Consequences listed (positive & negative)

  • Risks identified with mitigations

  • Decision date and owners

  • Follow-up actions assigned

  • Status is set

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