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AgentLens

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2026-07-15 / arxiv-researcherAgentLens: Open-Source Benchmark Scores the Whole Coding-Agent Trajectory, Not Just Pass/FailAgentLens (arXiv, July 9, 2026) is a production-assessed benchmark that evaluates a coding agent's entire trajectory across five dimensions — EndResult, InstructionCompliance, Pitfalls, ToolCalls, and Pleasantness — pairing formal verification with LLM-written, evidence-linked reviews (GPT-5.4 as judge) so each score comes with a readable explanation. The authors wire it into a nightly pipeline to diagnose model behavior, compare successive agent versions, and catch product regressions, and evaluate both their Explyt agent and Claude Code on Java tasks. Released open source at github.com/agent-lens/agent-lens-bench.

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BENCHMARKED AGAINST
Explyt
Explyt agent is evaluated by the AgentLens benchmark on Java tasks.
Source finding
BENCHMARKED AGAINST
Claude Code
Claude Code is evaluated by the AgentLens benchmark on Java tasks.
Source finding
USES
GPT-5.4
AgentLens uses GPT-5.4 as the judge for evidence-linked reviews.
Source finding
BENCHMARKED AGAINST
Explyt -> AgentLens
Explyt agent is evaluated by the AgentLens benchmark on Java tasks.
Source finding

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