Technical deep-dives on AI-powered resume scoring, developer assessment APIs, and the engineering behind Stackwright.
Manual resume screening takes hours and produces inconsistent results. This guide walks through building a production-ready REST API that scores developer resumes using Claude as the reasoning engine — covering architecture, the scoring prompt, Express routes, PostgreSQL caching, and rate limiting. By the end you'll have a working endpoint you can curl right now.
Wire Ashby, Greenhouse, and Lever webhooks to an automated scoring pipeline. Every candidate gets scored within 15 seconds of applying — no manual triage, no keyword filters, no consistency problems. Full code examples for webhook receiver, async scoring, and write-back.
Keyword matching is biased, gameable, and wrong. Learn how contextual AI scoring evaluates actual job fit, how to calibrate scores so the same candidate scores consistently across resume formats, and how to audit for credential anchoring, verbosity bias, and terminology gaps before they corrupt your hiring funnel.
Zero to working integration in four steps. Score your first resume with a single API call, parse the structured response, add webhook callbacks for batch processing, and go to production. Working code in cURL, JavaScript, and Python.