ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/prodcodebench-a-production-derived-benchmark-for-evaluating-ai-coding-agents

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID prodcodebench-a-production-derived-benchmark-for-evaluating-ai-coding-agents | Route /signal-canvas/prodcodebench-a-production-derived-benchmark-for-evaluating-ai-coding-agents

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/prodcodebench-a-production-derived-benchmark-for-evaluating-ai-coding-agents

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

PDF: https://arxiv.org/pdf/2604.01527v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:41.059Z

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Watch and verify: ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

/buildability/prodcodebench-a-production-derived-benchmark-for-evaluating-ai-coding-agents

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Subject: ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
existing benchmarks differ from real usage in programming language distribution, prompt style and codebase structure.
Implicationpartial
Directly and explicitly stated in the abstract as the motivation for the work.
Verificationpartial
partial
Evidencepartial
ProdCodeBench - a benchmark built from real sessions with a production AI coding assistant. Each curated sample consists of a verbatim prompt, a committed code change and fail-to-pass tests spanning seven programming languages.
Implicationpartial
Explicitly and directly stated in the abstract as the core contribution of the paper.
Verificationpartial
partial
Evidencepartial
We detail our data collection and curation practices including LLM-based task classification, test relevance validation, and multi-run stability checks
Implicationpartial
Directly stated in the abstract as key components of the methodology.
Verificationpartial
partial
Evidencepartial
Our systematic analysis of four foundation models yields solve rates from 53.2% to 72.2%
Implicationpartial
Directly stated numeric result in the abstract.
Verificationpartial
partial
Evidencepartial
models making greater use of work validation tools, such as executing tests and invoking static analysis, achieve higher solve rates.
Implicationpartial
Directly stated as a finding from the analysis in the abstract.
Verificationpartial
partial
Evidencepartial
This suggests that iterative verification helps achieve effective agent behavior
Implicationpartial
Strongly implied as a conclusion from the result about validation tools, stated as a suggestion in the abstract.
Verificationpartial
partial
Evidencepartial
exposing codebase-specific verification mechanisms may significantly improve the performance of externally trained agents operating in unfamiliar environments.
Implicationpartial
Strongly implied as a conclusion from the result about validation tools, stated as a suggestion in the abstract.
Verificationpartial
partial
Evidencepartial
Benchmarks that reflect production workloads are better for evaluating AI coding agents in industrial settings
Implicationpartial
Directly stated as a premise in the opening sentence of the abstract.
Verificationpartial
partial

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ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

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