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Pascual Vila

Full-Stack Software and AI Engineer

Full-Stack Software and AI Engineer with 6 years of experience building enterprise-grade web applications across React, Angular, Node.js, and Python. Recently completed a Master's in AI Development specializing in LLMs, RAG, and AI agent architectures, and currently builds enterprise systems that integrate AI and Digital Twins to optimize industrial and logistics processes.

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Common Pitfalls & Errors

The Error //

Removing a deprecated API version based purely on a calendar date, without checking actual current usage

// Risky: removed purely by calendar, no traffic check
// if (Date.now() > sunsetDate) removeV1Endpoints();

// Correct: verify actual usage first
const stillInUse = await getMetric("api_requests", { version: "v1" });
if (stillInUse > 0) investigateBeforeRemoving();

The Solution //

A consumer who never saw or acted on a deprecation notice (a partner's integration nobody remembered to update, or a deprecation notice that went to the wrong contact) can still be actively using a version scheduled for removal — removing it purely by calendar date without confirming real traffic has actually dropped to zero risks a breaking, unexpected outage for that consumer.

The Error //

Treating any change to an API response as automatically requiring a new version, with no distinction between breaking and non-breaking changes

// Unnecessary: a new version for a purely additive, non-breaking change
// Correct: adding an optional field stays within the SAME version
// { "id": 1, "total": 100, "currency": "USD" } — v1, unchanged, non-breaking

The Solution //

This creates unnecessary version proliferation and operational overhead — most natural API evolution (adding an optional field, adding a new endpoint) doesn't break existing clients and can safely happen within the same version, reserving new versions specifically for genuinely breaking changes.