Developer deduplicates 12,000 job postings via fuzzy matching to optimize agent context window

On November 5, 2026, a developer writing in DEV Community's AI section described building a job search API that aggregates live postings by keyword and location, and said the first version of the results was embarrassing. Searching for an ML engineer role in Berlin, for example, returned the same job from the same company four or five times, because the posting had been scraped from four different boards. The developer noted that AI agents consuming the API would waste context window on duplicates and appear careless in doing so. The fix was a fuzzy matching pass on normalized title, normalized company, and location before results were returned.

The materials provided cut off mid-sentence and contain no figures on dataset size or post-fix performance, so no numbers beyond the four-or-five-times duplication example can be reported. As of the available material, the story rests on a single developer post describing the deduplication approach, with no follow-up coverage yet.