Episode

Mastering REST API Design & Best Practices

Podcast
Software Engineer Interview Prep Podcast
Published
Mar 23, 2026
Duration seconds
4255
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/prabuddha-ganegoda/episodes/Mastering-REST-API-Design--Best-Practices-e3gsfbn
Audio
https://anchor.fm/s/10f2c0f8c/podcast/play/117373751/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-2-23%2F3877e793-ac23-c3d3-e752-4b81b2914764.m4a
JSON
/v1/public/podcasts/software-engineer-interview-prep-podcast-7756520/episodes/mastering-rest-api-design-best-practices
Markdown
/podcast/software-engineer-interview-prep-podcast-7756520/mastering-rest-api-design-best-practices.md

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Summary

Mastering REST API Design & Best Practices Are you struggling to articulate the exact difference between a basic API and a production-grade, evolvable API during system design interviews? In this deep dive, we break down the 10 pillars of REST API design to help you move beyond simple CRUD operations and start building like a Senior Engineer. What We Cover in This Episode: The Richardson Maturity Model: We explain the progression of RESTful APIs and why reaching Level 3 using Hypermedia (HATEOAS) is the gold standard, allowing clients to discover capabilities dynamically instead of relying on hard-coded URLs. URI Rules & HTTP Methods: Learn the strict naming conventions of API design—such as using plural nouns, kebab-case, and completely avoiding verbs in your URLs. We also break down the critical difference between PUT (idempotent full replacement) and PATCH (partial updates). Designing for Zero-Downtime: We reveal the definitive rules of backward compatibility and how to safely evolve your API using the Expand-Contract Pattern to migrate fields without ever breaking existing client integrations. Standardized Error Contracts: Discover why returning generic error pages is an interview red flag, and how adopting the RFC 7807 Problem Details format provides actionable, machine-readable responses with built-in trace context. Performance & Security: We decode advanced caching strategies using ETag and If-None-Match headers to save massive amounts of bandwidth on conditional GET requests. Plus, we contrast rate-limiting algorithms, explaining exactly when to use a Token Bucket for controlled bursting versus a Leaky Bucket for strict throughput guarantees. Tune in to arm yourself with the precise technical vocabulary, HTTP status codes, and architectural patterns…