Papers with GradleFixer
Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools (2026.eacl-long)
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| Challenge: | Large Language Models (LLMs) have been shown to be useful for building applications, but their use for fixing Android build errors remains underexplored. |
| Approach: | They propose a large-level language model agent with domain-specific tools for inspecting and manipulating the Gradle build environment. |
| Outcome: | The proposed agent outperforms a state-of-the-art coding agent that relies on a general-purpose shell significantly on 184 build errors. |