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When Migration Pays Back

Simple declarative logic that doesn’t need code — field updates, related-record lookups, single-DML branching, and chatter posts. Legacy triggers built for Workflow Rules and Process Builder that are hard to maintain. Workflows that admins should own without filing a developer ticket. Post-Summer ‘26, Flow debugging is nearly as good as Apex (live element tracing, in-place breakpoints, debug-as-other-user) — fewer reasons to stay on Apex for simple logic. Before-Save record-triggered Flows are an order of magnitude faster than equivalent Apex for same-record field updates and should replace any Apex trigger that does only this.

Solid Flow migration candidates:
  - Apex trigger that copies field A to field B on insert/update
  - Trigger that creates one related record on certain field changes
  - Trigger that posts to Chatter on stage transitions
  - Validation logic better expressed as Validation Rule + Flow follow-up
  - Process Builder remnants (deprecated; must be migrated by 2027)

When Not to Migrate

Performance-critical triggers on high-volume objects (e.g., Lead with 100k inserts per hour from a marketing pipeline). Complex multi-step transactions with conditional rollback. Heavy iteration or data transformation across thousands of records per transaction. Anything that calls multiple external services in a coordinated way. Anything where governor limits are tight and you need fine-grained SOQL bulkification. Apex handles these better and the maintenance cost of squeezing them into Flow exceeds the benefit.

Safe Migration Path

Wrap existing Apex in a handler pattern with a kill switch backed by a Custom Metadata Type. Write the Flow version in parallel and gate it with the same kill switch. Run both for one week in production with a “shadow” mode where Flow executes but doesn’t commit, comparing intended outputs against Apex actual outputs. Switch primary to Flow; keep Apex as fallback for two release cycles. Retire Apex after a stable window with documented eval.

Migration steps:
  1. Add kill switch (Custom Metadata: Trigger_Active__c = true/false)
  2. Build Flow version, gated by Custom Metadata: Flow_Active__c
  3. Run shadow mode 5-7 business days, log diffs
  4. Reconcile diffs; if zero, flip Flow_Active__c on, Trigger_Active__c off
  5. Monitor 14 days
  6. Remove Apex code and tests in next release

Skill Implications

Flow skills are now necessary for all admins and developers. Apex-only developers see narrowing scope; Flow-only admins struggle when Flow runs out of steam. Hybrid skill profiles dominate 2026 hiring postings — “Salesforce Engineer fluent in Apex, Flow, and LWC, comfortable choosing among them.” Invest in both unless you’re deeply specialized in one direction (platform performance work or pure admin enablement).

Common Failure Modes

  • Migrating without a comparison window. Differences in null handling, field-update ordering, and DML timing surface in production weeks later.
  • Skipping the kill switch. When Flow misbehaves at scale you need to revert in one click, not redeploy.
  • Underestimating Flow governor cost. A Flow loop over 200 records can hit SOQL limits if a Get Records sits inside the loop. Move Get Records outside the loop and assemble a Map.
  • Forgetting Flow async paths. Background-mode steps and scheduled paths run with different limits and can mask issues until volume climbs.

Decision Heuristic

Single same-record field update on insert/update? Before-Save Flow, always. Cross-record orchestration touching two or three related records? After-Save Flow. Anything more complex, performance-sensitive, or callout-heavy? Apex with selector and service classes.

What to Do This Week

Pick one Apex trigger that does only same-record field updates and migrate it to a Before-Save Flow with the shadow-mode pattern. Measure CPU time before and after.

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