Agent Eng News Sunday, July 26, 2026 · Past edition · 4 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
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The reported edge is a pairing: ACE-RTL’s iterative tool-feedback loop raises pass rates, while Nemotron 3 Ultra leads the fixed-agent comparison at 97.1% average pass rate and 6,629 tokens per iteration.
Why it matters: In iterative RTL work, each refinement step uses compute and engineering time. The reported combination of higher pass rate and lower token use suggests more hardware tasks can be attempted within the same compute budget, with faster results for engineers.
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