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CodeTracked since May 19, 2026

AI-DLC adds opt-in resilience-by-design extension

PR #265 introduces a new AI-DLC resiliency extension with a 15-rule baseline mapped to the AWS Well-Architected Reliability Pillar, adds an opt-in flow in the requirements phase to capture RTO/RPO and DR strategy via RESILIENCY-02, and provides baseline/resilient CloudFormation templates plus a review skill so workflows can validate resiliency compliance end-to-end.

AI-DLCresiliency-baselineRESILIENCY-02RTO/RPO

Signal Intelligence

Confidence Level92%
Worth Continued TrackingFinal score 80% with 1 evidence item.
Primary Impact Areas
AI-DLCresiliency-baselineRESILIENCY-02

What Happened

  • PR #265 introduces a new AI-DLC resiliency extension with a 15-rule baseline mapped to the AWS Well-Architected Reliability Pillar, adds an opt-in flow in the requirements phase to capture RTO/RPO and DR strategy via RESILIENCY-02, and provides baseline/resilient CloudFormation templates plus a review skill so workflows can validate resiliency compliance end-to-end.
  • PR #265 introduces a new AI-DLC resiliency extension with a 15-rule baseline mapped to the AWS Well-Architected Reliability Pillar, adds an opt-in flow in the requirements phase to capture RTO/RPO and DR strategy via RESILIENCY-02, and provides baseline/resilient CloudFormation templates plus a review skill so workflows can validate resiliency compliance end-to-end.
  • 1 evidence item attached for review.

What is Different

Before

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

Now

Implements a concrete workflow capability: reliability checks can now be activated during requirements gathering, with enforced follow-up questions for recovery objectives and DR strategy, then carried into design and infrastructure artifacts and validated against 15 explicit rules through dedicated CloudFormation templates and a review skill.

Why Track This

Why It Matters

Application teams using AI-DLC can now opt into a resilience-first workflow before implementation, which helps ensure observability, failover planning, and backup/disaster-readiness are defined early instead of being discovered late in deployment, reducing operator surprise during incidents. The extension adds a 15-rule reliability baseline (covering 11/13 Well-Architected Reliability questions), and A/B testing in the PR showed compliance improve from 3/15 to 9/15 rules when enabled, with added alarms, tracing, health checks, cross-region DR resources, and RTO/RPO tagging visible in generated artifacts. Continue monitoring adoption of the opt-in path, drift between template edits and review outputs, and the remaining coverage gaps (REL2/REL3) because those could still create reliability blind spots.

Impact

Application teams using AI-DLC can now opt into a resilience-first workflow before implementation, which helps ensure observability, failover planning, and backup/disaster-readiness are defined early instead of being discovered late in deployment, reducing operator surprise during incidents. The extension adds a 15-rule reliability baseline (covering 11/13 Well-Architected Reliability questions), and A/B testing in the PR showed compliance improve from 3/15 to 9/15 rules when enabled, with added alarms, tracing, health checks, cross-region DR resources, and RTO/RPO tagging visible in generated artifacts. Continue monitoring adoption of the opt-in path, drift between template edits and review outputs, and the remaining coverage gaps (REL2/REL3) because those could still create reliability blind spots.

What To Watch Next

  • Watch whether AI-DLC becomes a repeated pattern.
  • Track follow-up changes around Observability and Tracing.
  • Compare future signals against this evidence trail.
  • Re-check risk flags: resiliency_not_enabled_by_default, resiliency_checks_bypassed_in_opt_out_mode.
Open Topic TimelineOpen Technical EventOpen Original Sourceresiliency_not_enabled_by_default / resiliency_checks_bypassed_in_opt_out_mode / template_validation_drift_from_manual_changes / resiliency_pillar_coverage_gap_rel2_rel3 / token_overhead_when_extension_enabled

Supporting Evidence

GITHUB PULL REQUESTHigh Trust

awslabs/aidlc-workflows PR #265: feat(resiliency-extension): add new resiliency extension

Adds a resiliency extensions framework to AI-DLC with 15 rules, opt-in enforcement, and template-level validation against those rules.