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Sriram RavipatiSenior UX Engineer

frontend architecture

Modernizing 200+ production templates

Backward-compatible system evolution across a live, multi-team AEM environment — without a single production regression.

Role
Frontend Architect
Platform
Fortune 200 Banking Platform
Timeline
2021–2022
Team
5 engineers · 3 business units · Multi-team coordination

200+

backward-compatible

Templates modernized

0

across all rollouts

Regressions

None

incremental rollout

Delivery freeze

Problem

Three years of organic growth across three business units had produced a frontend system that resisted change: unpredictable CSS cascade behavior, a ClientLib dependency graph nobody could fully reason about, and component patterns that had diverged beyond reconciliation.

Approach

Categorized 200+ templates into Extend / Refactor / Replace / Deprecate. Adopted the delegation pattern for backward-compatible modernization. Reorganized ClientLib categories around architectural role rather than business unit. Incremental rollout per business unit with explicit sign-off.

Outcome

200+ templates modernized without a single production regression. ClientLib dependency graph documented and deterministic. New component development time measurably reduced. Cross-BU governance process established and still in use.

The problem

Three years of organic growth across three business units had produced a frontend system that resisted change. An unpredictable CSS cascade. A ClientLib dependency graph nobody could fully reason about. Component patterns that had diverged beyond reconciliation.

The directive: modernize without breaking what's live. No production freeze. No big-bang rewrite. Backward compatible at the content layer, the rendering layer, and the dependency layer simultaneously.

"The risk wasn't in the components we were replacing. It was in the components we didn't know were depending on them."

Big-bang rewrite approach

Replace all 200+ templates in a single multi-month effort. Requires freezing delivery. One high-risk launch. Any post-launch issue affects everything simultaneously.

Incremental modernization

Categorize by risk profile. Low-risk changes ship alongside active delivery. Replace and Deprecate batches ship with isolated validation. Zero delivery freeze. Risk isolated per batch.

System architecture

Before categorizing anything as 'modernize,' the work was scoped into four buckets: Extend (sound architecture, needs new capabilities), Refactor (correct function, problematic implementation), Replace (architecture not recoverable), and Deprecate (duplicate solutions for the same need).

Component governance lifecycle — multi-team approval model

01

Component request

Author need identified

02

Architecture review

Reuse vs build decision

03

Policy definition

Governance constraints authored

04

a11y validation

NVDA · VoiceOver · axe-core

05

Staging sign-off

BU lead + QA approval

06

Production deploy

Zero-regression release

Component modernization lifecycle — categorize before executing

The most consequential decision: the delegation pattern as the standard modernization approach. New components wrap existing ones rather than replacing them. Authored content continues resolving correctly through the delegation chain. Authors experience no disruption. QA validates new behavior against existing content without migration.

Key decisions

Challenge → Decision → Outcome

Challenge

Decision

Outcome

200+ live templates that couldn't be frozen or migrated

Delegation pattern — new components wrap existing, content resolves through chain

Backward-compatible rollout

zero content migration required

ClientLib categories organized by business unit, producing non-deterministic loading

Reorganize by architectural role — base, components, page-type overrides

Deterministic CSS loading order independent of business unit

Three teams with independent delivery cadences and sign-off requirements

Cross-BU governance process — component review, staging validation, BU sign-off

Standard process for all shared component changes

onboarding reduced from weeks to days

Legacy and modernized components co-existing on same pages

Strict category scoping — each component version in isolated ClientLib category

No cascade collisions between component generations

Decision

Delegation pattern as the default modernization approach

Existing content authored against original component properties continues resolving correctly through the delegation chain. Authors experience no disruption. QA validates new behavior against existing authored content without requiring content migration at scale.

Alternative: Full replacement with content migration. Rejected due to scale (200+ templates), live-system risk, and multi-team coordination complexity.

Tradeoff: Delegation chains add rendering complexity and a longer dependency graph to reason about. Worth it for the backward compatibility guarantee.

Outcomes

New component development became faster because the delegation pattern and reorganized ClientLib structure gave engineers a clear, consistent scaffold.

200+

Templates modernized

0

Production regressions

None

Delivery freeze required

Days

New engineer onboarding time

The cross-BU governance process established during this project became the standard process for all subsequent shared component changes. The incremental approach created a repeatable pattern — not a one-time migration.

Reflection

Instrument before optimizing. We had no usage telemetry before beginning. Knowing which components were actively used, and in which template configurations, would have let us sequence the work by actual risk rather than estimated risk — a meaningful difference when you're committing to zero regressions.

Start ClientLib reorganization earlier. Running it in parallel with component modernization created unnecessary uncertainty. The CSS loading instability introduced ambiguity into component QA — you couldn't always tell if a visual regression was a component issue or a cascade issue. Resolving the dependency graph first would have made every subsequent validation step faster and cleaner.