AI Sparks Episode#21 Evaluating LLM Code Agent

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AI Sparks

Praveen Govindaraj

26 episodes

2 days ago

Step into the world where artificial intelligence meets everyday impact. Each episode of AI Sparks brings you the latest trends, innovations, and breakthroughs shaping the AI landscape—alongside honest conversations about the challenges, risks, and threats that come with it. From game-changing discoveries to real-world applications, from ethical debates to future possibilities, AI Sparks is your guide to understanding how AI is reshaping industries, societies, and our lives.

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AI Sparks Episode#21 Evaluating LLM Code Agent

AI Sparks

4 minutes 7 seconds

2 weeks ago

AI Sparks Episode#21 Evaluating LLM Code Agent

Code-writing AIs are getting good—but how do we grade them fairly? In this episode, we unpack PRDBench, a new “projects-not-problems” benchmark that evaluates code agents the way teams actually ship software: unit tests, terminal interactions, and file comparisons, all orchestrated by an EvalAgent. We explore surprising build-vs-debug gaps, how often AI judges agree with humans, and why this matters for your next release. Source: “Automatically Benchmarking LLM Code Agents through Agent-driven Annotation and Evaluation” (Fu et al., 2025).

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