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LLM development requires two-way connections for effective testing, says Rhesis

Developing LLM applications requires more than just observing their output; it necessitates a two-way connection for effective testing. While existing observability tools provide a one-way flow of data out of the application, true testing requires an external system to send prompts and evaluate responses before they reach users. Rhesis offers a solution with its collaboration layer, enabling engineers and domain experts to create test cases, run them against LLM applications via Endpoints, and grade the results, thereby facilitating automated and repeatable testing. AI

IMPACT Enables more robust testing and quality assurance for LLM applications.

RANK_REASON The item discusses a specific product/service for LLM development, not a frontier release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM development requires two-way connections for effective testing, says Rhesis

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The item discusses a specific product/service for LLM development, not a frontier release or significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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70 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Rhesis.AI ·

    Watching Isn't Testing: The Case for Two-Way Connections

    <p>Emanuele de Rossi<br /> July 27, 2026 • 9 min read</p> <p>If you are developing an LLM application (be it a chatbot, an agent, or something else), you probably already have some way of watching it: an observability tool, a logging setup, something that shows you what's happeni…