arXiv (All)
open access
FrogNano: Training a 4B Coding Agent via Online Task Synthesis
We present FrogNano, a 4B coding agent designed to tackle software engineering (SWE) tasks efficiently and effectively, even under resource-constrained environments. It is post-trained exclusively via RL on around 1,500 SWE environments with synthetic tasks. A key ingredient for improving performanc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks#1128610
- EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent#972632
- LoLBench: Evaluating Coding Agents with Long-Horizon Proposals on Large Software Systems#1132344
- LoLBench: Evaluating Coding Agents with Long-Horizon Proposals on Large Software Systems#1122366
- AsynCodeBench: Benchmarking Collaboration of Asynchronous Multi-Agent Systems in Software Engineering#1116993
Record · ID 1013208
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive