Adr Writing

ADR Writing Skill

When to Activate

• Making a significant architectural choice (database, framework, pattern)
• Choosing between multiple reasonable technical options
• Adding a new third-party dependency that's hard to replace later
• Establishing a new pattern that others will follow
• Reversing or superseding a previous decision
• Starting a new project or major feature

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When to Write an ADR

Write an ADR when the decision:

• Is hard to reverse (database choice, API design, auth architecture)
• Has multiple reasonable options (not one obvious answer)
• Will affect others (other engineers, teams, future hires)
• Involves a significant trade-off (speed vs. consistency, cost vs. reliability)

Do NOT write an ADR for:

• Implementation details (which function to call, variable names)
• Decisions that are trivially reversible
• Personal preference with no trade-off
• Anything covered by existing team standards

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The ADR Template

# ADR-XXX: 

**Date:** YYYY-MM-DD
**Status:** Draft | Proposed | Accepted | Deprecated | Superseded by ADR-YYY
**Deciders:** @alice, @bob (names of people who made this decision)
**Consulted:** @charlie (people whose input was sought)
**Informed:** engineering team (people notified after decision)

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## Context

What is the situation or problem forcing this decision?
What constraints exist (technical, business, time, team)?
What are the forces at play?

Write 2-4 paragraphs. Be specific. Include:
- Current state of the system
- What triggered the need for this decision
- Non-negotiable constraints (e.g., must work in EU, must not require > 1 week)

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## Decision

**We will [chosen option].**

One clear sentence stating what was decided. Then 1-2 paragraphs explaining the key reasoning — not a repetition of the options, but the core insight that made this option win.

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## Consequences

### Positive
- What becomes easier or better?
- What problems does this solve?

### Negative
- What becomes harder?
- What technical debt are we accepting?
- What is now locked in?

### Risks
- What could go wrong?
- What assumptions must hold for this to work?

---

## Alternatives Considered

### Option A: [Name of rejected option]

**Description:** What this option would look like.

**Why rejected:**
The specific, honest reason this lost. Not "it was worse" but "it would require X which we can't afford because Y" or "it solves the problem but introduces Z risk which outweighs the benefit."

**What it would have been good for:**
Be honest about the cases where this would have been the right choice. This helps future readers know when to revisit.

### Option B: [Name of rejected option]

[Same structure]

---

## Links

- [Related ADR-XXX: Authentication architecture](./ADR-012-auth-architecture.md)
- [RFC that informed this: Performance requirements](../rfcs/perf-requirements.md)
- [Issue that triggered this](https://github.com/org/repo/issues/123)

---

Example ADR (Real, Filled-In)

# ADR-017: Use Postgres with pgvector for Embedding Storage

**Date:** 2025-01-15
**Status:** Accepted
**Deciders:** @marvin, @alice
**Consulted:** @bob (infra)

---

## Context

We are building a semantic search feature that requires storing and querying 1536-dimension
embeddings for ~500k product descriptions. We need to choose where to store these embeddings
and how to perform approximate nearest-neighbor (ANN) queries.

Our constraints:
- Team has strong Postgres expertise, minimal Pinecone/Weaviate experience
- Current infrastructure is Postgres (RDS) + Redis only — no vector-specific infra
- Estimated data: 500k vectors at launch, ~5M at 12 months
- P99 search latency target:  95% and P99 10M vectors we may need to migrate
- HNSW index build is slow on initial load (run as migration off peak hours)
- CPU load increases during index build — schedule carefully

### Risks
- If vector count exceeds 10M within 12 months, a migration to Pinecone or Weaviate will be needed
- HNSW parameters (m, ef_construction) need tuning for our data distribution

---

## Alternatives Considered

### Option A: Pinecone (managed vector database)

**Description:** Use Pinecone's managed cloud service for vector storage and ANN search.

**Why rejected:**
Pinecone adds a new managed service dependency ($70-700/month), requires keeping Postgres
and Pinecone in sync (a failure mode), and our team has no Pinecone experience. The
performance advantage over pgvector+HNSW only materializes at >50M vectors — 10x our
12-month projection. Complexity cost outweighs benefit at this scale.

**What it would have been good for:**
Teams with >20M vectors, needing metadata filtering at scale, or with existing vector
infrastructure. Also appropriate if Postgres expertise is limited.

### Option B: Weaviate (self-hosted)

**Description:** Self-host Weaviate for full vector database capabilities.

**Why rejected:**
Self-hosting adds operational overhead (updates, backups, monitoring) that we'd rather avoid.
Weaviate's multi-tenancy model is also more complex to integrate with our existing tenant
isolation (Postgres RLS). No cost advantage over pgvector once infra cost is factored in.

---

## Links

- [pgvector documentation](https://github.com/pgvector/pgvector)
- [HNSW vs IVFFlat benchmark](https://ann-benchmarks.com)
- [ADR-012: Multi-tenancy with Postgres RLS](./ADR-012-multi-tenancy.md)

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ADR Lifecycle

Draft → Proposed → Accepted → (Deprecated | Superseded)

Draft:     Being written, not ready for review
Proposed:  Ready for team review and discussion
Accepted:  Decision made, being implemented
Deprecated: Decision no longer applies (system no longer has this component)
Superseded: A newer ADR (ADR-XXX) has replaced this one

Superseding an ADR

# ADR-031: Switch from Redis Sessions to JWT

**Status:** Accepted — **Supersedes ADR-008**

## Context

ADR-008 established Redis-backed sessions for auth. Since then, we have
added mobile clients and third-party API consumers that cannot use cookies.
JWT allows stateless auth across all clients.

[...]

And update the old ADR:

# ADR-008: Redis-Backed Sessions

**Status:** Superseded by [ADR-031: JWT Auth](./ADR-031-jwt-auth.md)

---

ADR Index (docs/decisions/README.md)

# Architecture Decision Records

| ADR | Title | Status | Date |
|-----|-------|--------|------|
| [ADR-001](./ADR-001-monorepo.md) | Monorepo with Turborepo | Accepted | 2024-03-01 |
| [ADR-012](./ADR-012-multi-tenancy.md) | Multi-tenancy with Postgres RLS | Accepted | 2024-06-15 |
| [ADR-017](./ADR-017-pgvector.md) | pgvector for embedding storage | Accepted | 2025-01-15 |
| [ADR-031](./ADR-031-jwt-auth.md) | JWT auth (supersedes ADR-008) | Accepted | 2025-02-01 |

Numbers are sequential and never reused. Deprecated ADRs stay in the index.

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Anti-Patterns

| Anti-pattern | Problem | Fix | |---|---|---| | "We chose X because it's better" | No reasoning — future readers can't evaluate | State why it's better for this context | | No alternatives documented | Looks like no other options were considered | Always document at least 2 rejected options | | ADR written after decision | Just rubber-stamps what already happened | Write ADR during decision, before implementation | | ADR never updated | Accepted ADRs describe outdated systems | Supersede rather than edit; keep history | | Every tiny decision gets an ADR | ADR fatigue — people stop reading | Reserve for decisions that are hard to reverse |

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Complete Filled-In ADR Example

> This is a real decision written out in full — not a template with placeholders.

# ADR-007: Use Cursor Pagination over Offset Pagination

**Date:** 2025-11-03
**Status:** Accepted
**Deciders:** @sarah (backend lead), @james (API consumer team)
**Consulted:** @ops (DB performance)
**Informed:** All API consumers via Slack #api-changes

---

## Context

Our `/api/v1/orders` endpoint is used by mobile clients with infinite scroll and by
data-export jobs that page through all records. Today we use offset pagination
(`?page=2&per_page=20`). Three problems have emerged as the orders table grew past 2M rows:

1. `OFFSET 1900000` takes 3.8s on production Postgres — users see spinner during scroll
2. Rows inserted during export jobs cause pages to shift, resulting in duplicate or missing rows
3. Our DB has no composite index on `(status, created_at)` — adding one for offset queries is high-risk

Our SLO for list endpoints is p95  7 days, they will receive a 400 with `cursor_expired` type
- The base64 encoding is not encrypted — clients should treat cursors as opaque but not secret

---

## Alternatives Considered

### Option A: Keep offset pagination with added index

**Description:** Add a composite index on `(status, created_at, id)` to speed up large offsets.

**Why rejected:**
Adding the index on a 2M-row live table requires a long migration (estimated 45-min lock on Postgres 14).
Even with the index, `OFFSET 1000000` still reads 1M index entries — O(N) time, not O(1).
The duplicate-rows problem under concurrent inserts is also not fixed.

**What it would have been good for:**
Small tables ( :last_id` with a simple integer cursor.

**Why rejected:**
Our orders are sometimes inserted out of chronological order (backfill jobs). Sorting by `id`
alone returns orders in insertion order, not business order. The tie-breaking on `(created_at, id)`
is required to match the expected `sort=-created_at` contract that mobile clients depend on.

---

## Links

- [Issue #1847: Orders list endpoint SLO breach](https://github.com/org/repo/issues/1847)
- [ADR-003: Postgres as primary datastore](./ADR-003-postgres.md)
- [Benchmark results: cursor vs offset on 2M rows](../benchmarks/pagination-2025-11-01.md)

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Checklist

• [ ] Decision stated clearly in one sentence at the top
• [ ] Context explains constraints, not just background
• [ ] At least 2 alternatives documented with honest rejection reasoning
• [ ] Consequences include both positive AND negative outcomes
• [ ] Risks explicitly listed (what must be true for this to work)
• [ ] Status is set (Draft / Proposed / Accepted)
• [ ] Links to related ADRs and triggering issues/RFCs
• [ ] Added to docs/decisions/README.md index
• [ ] If superseding: old ADR updated with "Superseded by ADR-XXX"

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: marvinrichter
• Source: marvinrichter/clarc
• License: MIT
• Homepage: https://marvinrichter.github.io/clarc

Install and usage instructions live in the source repository linked above.