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CodeTracked since May 20, 2026

Respect conversation language in AI-DLC generated artifacts

The change introduces a shared language policy so AI-DLC-generated question files, plans, and design artifacts now follow the user’s conversation language instead of always being emitted in English.

awslabs/aidlc-workflowsaidlc-question-format.mdaidlc-builder-protocol.mdAI-DLC v2

What Happened

  • The change introduces a shared language policy so AI-DLC-generated question files, plans, and design artifacts now follow the user’s conversation language instead of always being emitted in English.
  • The change introduces a shared language policy so AI-DLC-generated question files, plans, and design artifacts now follow the user’s conversation language instead of always being emitted in English.
  • 1 evidence item attached for review.

What is Different

Before

Scattered source updates, isolated context, and manual follow-up across multiple feeds.

Now

Added a Language section to question-format conventions and Rule 7 (Language) to the builder protocol so question files, plans, and design artifacts inherit the same locale behavior from shared config, instead of requiring separate language handling per skill.

Why Track This

Why It Matters

Non-English AI-DLC users and operators now get generated requirement, planning, and design documents in their conversation language, reducing manual translation steps and making downstream design/review work faster and more usable, so teams should keep monitoring outputs for language drift in newly added skills or template paths. This is implemented through shared convention/protocol updates to keep the policy centralized across all current and future generators.

Impact

Non-English AI-DLC users and operators now get generated requirement, planning, and design documents in their conversation language, reducing manual translation steps and making downstream design/review work faster and more usable, so teams should keep monitoring outputs for language drift in newly added skills or template paths. This is implemented through shared convention/protocol updates to keep the policy centralized across all current and future generators.

What To Watch Next

  • Watch whether awslabs/aidlc-workflows becomes a repeated pattern.
  • Track follow-up changes around AI Workflow Automation.
  • Compare future signals against this evidence trail.
  • Re-check risk flags: new_skills_emit_wrong_language, output_type_localization_gaps.
Open Topic TimelineOpen Technical EventOpen Original Sourcenew_skills_emit_wrong_language / output_type_localization_gaps / language_rule_not_enforced_in_future_protocol_updates

Supporting Evidence