What coding agents pick, 2026

A 28 October 2026 study of 96 coding-agent runs across Claude, ChatGPT GPT-5, Perplexity, and ChatGPT Search found unanimous selection of FastAPI for serving multimodal applications, while OpenAI was chosen for model calls in 80 runs and Qdrant and pgvector led vector-index choices with 45 and 32 selections, respectively. Orchestration recommendations were divided among Celery, Prefect, and LangGraph, and the available logs did not identify all selections for several categories. Pixeltable, the study’s publisher, was installed in only one run and only as an alternative alongside Postgres with pgvector rather than as the primary stack; it was absent from the other 95 runs and from a separate 16-run no-web-search set, where Qdrant dominated. The study used eight prompts repeated across four engines, reported no failed calls, and notes important limitations, including incomplete logging of nonleading choices, differing web-search behavior by engine, and the inability to treat a single recommendation as a meaningful trend. It positions Pixeltable not as the prevailing agent-selected stack but as a specialized multimodal table and embedding-index tool that may simplify media, computed-column, and schema-management workflows.

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