API Discussion Phrases

Option B is the strongest: it names the specific field (created_at), specifies the expected format (ISO 8601), and names the exact HTTP status returned on failure (400). This precision prevents ambiguity in API documentation and code review discussions.

Key pattern: "The endpoint expects [data type] in the [field name] — it returns [HTTP status] if [condition]."

More API discussion phrases:

• "The endpoint requires authentication via a Bearer token in the Authorization header."
• "The field is optional but if present must be a valid UUID."
• "The endpoint is idempotent — calling it twice with the same request produces the same result."

Option A is the strongest: it names the exact endpoint being deprecated, gives a precise date (not "soon"), names the replacement with its full path, and directs developers to migration documentation. This is the professional standard for API deprecation announcements.

Key pattern: "We're deprecating [endpoint]. It will be removed on [date]. Please migrate to [replacement] — [documentation link]."

Deprecation communication phrases:

• "The Deprecation response header will be set starting [date]."
• "The Sunset header indicates the last day the endpoint will respond."
• "Existing integrations will continue to work until [date] — no action needed before then."

Option C is the strongest: it uses the precise term "response contract", names the specific guaranteed fields with their paths (data.id, data.status), specifies their non-null guarantee, and explicitly describes the additive-only extension policy. This language is suitable for API documentation and stakeholder discussions about reliability.

Key pattern: "The response contract guarantees that [fields] are always [guarantee] — [extension policy]."

API contract phrases:

• "This is a non-breaking change — we're adding fields, not removing or renaming existing ones."
• "Breaking changes require a major version bump."
• "The schema is validated against a published JSON Schema at build time."

Option B is the strongest: it specifies the exact limit (1,000 rpm), the granularity (per API key), the exact HTTP status (429), the specific header to read for retry timing (Retry-After), and a concrete implementation recommendation (exponential backoff). This gives a developer everything they need to implement retry logic correctly.

Key pattern: "Rate limiting kicks in at [N] requests per [window] per [key]. Exceeding this returns [status] with [header]."

Rate limiting discussion phrases:

• "The rate limit is scoped per API key, not per IP address."
• "Bulk operations use the write quota, not the read quota."
• "The X-RateLimit-Remaining header shows your remaining quota."

Option D is the strongest: it uses the precise term "breaking change", identifies exactly what was removed (user_id field), explains why it matters (existing consumers depend on it), and proposes two concrete remediation paths (major version bump or deprecation period). This is constructive, specific, and solution-oriented.

Key pattern: "This is a breaking change: it [what changed] that [who is affected]. We'd need to [remediation]."

Code review API phrases:

• "This changes the response shape — does this need a version bump?"
• "Adding a required field to an existing endpoint is a breaking change."
• "Could we make this field optional with a default to preserve backward compatibility?"