Research map / Multi-agent systems and games / LLM agents
GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging
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Introduces GitTaskBench, a 54-task benchmark for code agents that must leverage GitHub repositories (including environment setup) to solve real-world multimodal tasks, plus an alpha-value metric for economic benefit, evaluated across Aider, OpenHands, and SWE-Agent with multiple LLMs.
Problem
Existing code-agent benchmarks focus on isolated code generation or program repair and rarely test whether agents can autonomously set up and repurpose open-source repositories to complete end-to-end, user-centric tasks.
Approach
A benchmark of 54 repository-grounded daily-life tasks across 7 modalities, each with human-curated automated test scripts (ECR and TPR), plus an alpha-score that nets agent success, quality, and API cost against freelance market value of the task.
Key results
- OpenHands with Claude 3.7 achieves the best ECR of 72.22% and TPR of 48.15% among the original evaluated settings.
- Error analysis attributes 65.04% of failures to environment setup (E1).
- Raising OpenHands (GPT-4o) timeout from 120s to 1800s increases TPR from 12.96% to 35.19%, with cost rising from $0.68 to $6.52.
Surprising findings
- Replacing humans with agents is not always cost-effective; DeepSeek V3 and GPT-4.1 offer better cost-performance than Claude 3.7 despite lower success.
- Qwen3-32B in think mode reaches up to about 60% of Claude 3.5's performance with far fewer tokens.
Limitations
- OpenHands does not strictly enforce max_iterations, complicating step control.
- Market values for alpha are estimated from freelance platform fees and may be imprecise.
- Benchmark is small at 54 tasks across 18 repositories.
Experimental setup
Datasets: GitHub repositories (18 Python projects)
Benchmarks: GitTaskBench
Metrics: Execution Completion Rate (ECR) Task Pass Rate (TPR) alpha-score token cost
Baselines: Aider SWE-Agent OpenHands
Builds on: SWE-Bench OpenHands SWE-Agent Aider
Closest papers by meaning
- RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades (NeurIPS 2026 · similarity 0.91)
- SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks (NeurIPS 2026 · similarity 0.90)
- Automated Benchmark Generation for Repository-Level Coding Tasks (ICML 2025 · similarity 0.90)
- NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents (ICML 2026 · similarity 0.90)
- SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution (NeurIPS 2026 · similarity 0.90)
- RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving (NeurIPS 2025 · similarity 0.90)
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