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Coding-agent frustrations, from broken code to ignored instructions

Arena says its analysis of 20,840 traces across 29 models found nonworking code in 69.1% of traces containing complaints. Newer models generally drew a more positive balance of feedback.

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2 Sources, 20d ago, first seen 20d ago

TLDR

Arena analyzed 20,840 traces from Agent Arena: Code between August 1 and September 13. It reports that among traces containing complaints, 69.1% flagged code not working, 27.1% incomplete output, 27.1% weak finish and usability, and 20.3% ignored instructions. A trace could receive multiple complaint labels.

Arena says newer models tend to receive more positive feedback, but models differ in how they disappoint. Fable 5.1 drew fewer “slop” and design complaints than Astra (3.9% versus 5.7% of sampled traces), and fewer complaints about being “flaky” (3.1% versus 5.0%).

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32.4K

2 Sources, first seen 20d ago

238 likes20 comments57 saves13 reposts

Combined views

32.4K

2 Sources, first seen 20d ago

238 likes20 comments57 saves13 reposts

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2 Sources

Arena.ai@arenaWhat can user praise and complaints tell us about coding agents themselves? We analyzed 20,840 traces from Agent Arena: Code across 29 models, and found that direct feedback unlocks novel opportunities in tracking the frontier. Some topline findings: - Today’s frontier models receive markedly more positive feedback. Overall, newer models across labs tend to show a more positive feedback balance. - Broken code is still the biggest driver of complaints, sloppy behavior comes second. 69.1% of complaints point to code not working. The next themes are incomplete output (27.1%), weak finish and usability (27.1%), and ignored instructions (20.3%). - Models share common weaknesses, but differ in how they disappoint. Fable 5.1 attracts fewer “slop” and design complaints than Astra (3.9% versus 5.7% of sampled traces), and fewer complaints about being “flaky” (3.1% versus 5.0%). Read more by diving into the full article from @DawidGalarowicz below.20d
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    2 Sources

    Arena.ai@arenaWhat can user praise and complaints tell us about coding agents themselves? We analyzed 20,840 traces from Agent Arena: Code across 29 models, and found that direct feedback unlocks novel opportunities in tracking the frontier. Some topline findings: - Today’s frontier models receive markedly more positive feedback. Overall, newer models across labs tend to show a more positive feedback balance. - Broken code is still the biggest driver of complaints, sloppy behavior comes second. 69.1% of complaints point to code not working. The next themes are incomplete output (27.1%), weak finish and usability (27.1%), and ignored instructions (20.3%). - Models share common weaknesses, but differ in how they disappoint. Fable 5.1 attracts fewer “slop” and design complaints than Astra (3.9% versus 5.7% of sampled traces), and fewer complaints about being “flaky” (3.1% versus 5.0%). Read more by diving into the full article from @DawidGalarowicz below.20d
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