adr

name	adr
description	Create lightweight Architectural Decision Records (ADRs) for hard-to-reverse technical decisions. Use when choosing architecture, integration patterns, lock-in technologies, ownership boundaries, deliberate deviations from obvious paths, or rejected alternatives worth remembering.
source	https://github.com/mattpocock/skills/blob/d54c497aa94400a496d3f2c38be10fa5f284c5a9/skills/engineering/grill-with-docs/ADR-FORMAT.md

Format

ADRs live in docs/adr/ and use sequential numbering: 0001-slug.md, 0002-slug.md, etc.

Create the docs/adr/ directory lazily — only when the first ADR is needed.

Template

# {Short title of the decision}

{1-3 sentences: what's the context, what did we decide, and why.}

That's it. An ADR can be a single paragraph. The value is in recording that a decision was made and why — not in filling out sections.

Optional sections

Only include these when they add genuine value. Most ADRs won't need them.

• Status frontmatter (proposed | accepted | deprecated | superseded by ADR-NNNN) — useful when decisions are revisited
• Considered Options — only when the rejected alternatives are worth remembering
• Consequences — only when non-obvious downstream effects need to be called out

Numbering

Scan docs/adr/ for the highest existing number and increment by one.

When to offer an ADR

All three of these must be true:

1. Hard to reverse — the cost of changing your mind later is meaningful
2. Surprising without context — a future reader will look at the code and wonder "why on earth did they do it this way?"
3. The result of a real trade-off — there were genuine alternatives and you picked one for specific reasons

If a decision is easy to reverse, skip it — you'll just reverse it. If it's not surprising, nobody will wonder why. If there was no real alternative, there's nothing to record beyond "we did the obvious thing."

What qualifies

• Architectural shape. "We're using a monorepo." "The write model is event-sourced, the read model is projected into Postgres."
• Integration patterns between contexts. "Ordering and Billing communicate via domain events, not synchronous HTTP."
• Technology choices that carry lock-in. Database, message bus, auth provider, deployment target. Not every library — just the ones that would take a quarter to swap out.
• Boundary and scope decisions. "Customer data is owned by the Customer context; other contexts reference it by ID only." The explicit no-s are as valuable as the yes-s.
• Deliberate deviations from the obvious path. "We're using manual SQL instead of an ORM because X." Anything where a reasonable reader would assume the opposite. These stop the next engineer from "fixing" something that was deliberate.
• Constraints not visible in the code. "We can't use AWS because of compliance requirements." "Response times must be under 200ms because of the partner API contract."
• Rejected alternatives when the rejection is non-obvious. If you considered GraphQL and picked REST for subtle reasons, record it — otherwise someone will suggest GraphQL again in six months.