Juan Vistro
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Global biotechnology company

Two decisions. One safer migration.

Challenged inherited migration scope using usage evidence, then investigated behavioral differences between legacy and new implementations—removing unnecessary work and establishing repeatable validation.

  • Technical judgment
  • Cross-functional influence
  • Engineering reliability
Does this work need migration?
  1. Inherited work
  2. Usage evidence
  3. Necessity decision
Does the implementation preserve behavior?
  1. Actual behavior
  2. Live comparison
  3. Investigate · revalidate
Question the plan. Test the reality.

Two complementary investigations, grounded in evidence.

01 / The Challenge

An inherited plan. Unverified assumptions.

A business-critical proprietary registry and inventory API was being replaced by a new platform and proxy implementation. Internal applications still depended on its behavior.

When I returned from parental leave, I encountered an inherited endpoint backlog with unclear provenance. Development was underway without reliable behavioral validation.

There were two different uncertainties: did every planned endpoint still need migration, and did the new implementation preserve required behavior? Neither the backlog nor the available contracts was sufficient evidence on its own.

02 / The Investigations

Evidence over assumptions.

Both investigations asked whether the evidence justified further engineering effort. One examined the necessity of planned work; the other examined the reliability of the implementation and its supposed sources of truth.

A / Scope reduction

Establish what still matters.

I built Kibana/CloudWatch traffic views and a reusable endpoint-usage agent skill to examine active callers over approximately a year. With Product, technical leads and engineering leadership, I agreed retirement criteria based on both usage and continued application support.

  • Inherited endpoint backlog
  • Historical traffic
  • Still-supported applications
  • Agreed retirement criteria

Does this endpoint still need migration?

No — remove unnecessary work

37+

Planned endpoint migrations removed from scope

Yes — retain necessary work

Endpoints still requiring migration

B / Behavioral correctness

Validate what the system actually does.

With management approval, I built an initial shadow-diff MVP in approximately three weeks. Live legacy-versus-new response comparisons revealed contract discrepancies across 200+ endpoints, including missing negative-path behavior. Follow-on coding-agent analysis examined actual legacy JavaScript logic.

Unreliable abstraction · deprioritized

Typed legacy client — insufficient as a reliable representation of actual behavior

Legacy implementation and responses

New proxy implementation

Live shadow-diff comparison
Investigate discrepancies

Source-level analysis · legacy JavaScript

75 missed behavioral branches identified

Prioritize corrective work

Revalidate after correction

Shadow-diff checks integrated into CI

A repeatable delivery check—not evidence that every finding was corrected.

Different investigations. A shared standard for evidence.

The scope filter and behavioral investigation are complementary, not a sequential pipeline. Their endpoint populations are not established as identical, and the figures do not describe an additive funnel.

03 / Key Decisions

When the evidence changed the plan.

I treated the backlog, the client abstraction and one-off testing as assumptions to examine—not conclusions to preserve.

  1. Challenge inherited scope. An inherited backlog could have set the agenda. I asked for usage and support evidence, then worked with Product and engineering leads to agree when work could be retired. Usage verification became part of migration planning rather than assuming every ticket was necessary.
  2. Abandon an unreliable abstraction. Typed definitions looked authoritative but did not reliably reflect legacy behavior. I deprioritized static comparison rather than expand an untrustworthy check, redirecting the investigation toward live responses and implementation logic.
  3. Make validation repeatable. A one-off investigation was not a delivery capability. Shadow-diff checks were integrated into CI, and engineering leadership prioritized corrective bugs other than negative-path parity issues. Repeatable validation did not make identified issues equivalent to resolved defects.

04 / Results and Reflection

Less unnecessary work. Better evidence of correctness.

The initial static comparison had limited value because its abstraction did not reliably describe actual behavior. I would establish that source of truth earlier and keep the MVP tighter.

I would also involve engineers earlier in investigating discrepancies, making difficult findings a shared discovery and giving colleagues a role in validating the assumptions behind their work.

Removed work, identified behavior and repeatable checks are separate outcomes—not a count of corrected defects.
Planned endpoint migrations removed
37+Usage and supported-application evidence
Missed behavioral branches identified
75Analysis of actual legacy implementation logic
Shadow-diff validation integrated
CIRepeatable checks during delivery

Corrective delivery continued through a separate agentic build harness. Its corrective tickets were not the migration work removed from scope.