Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
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2505.19443
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Published
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15
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Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 53 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
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StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 152 -
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
Paper • 2504.14757 • Published -
OctoPack: Instruction Tuning Code Large Language Models
Paper • 2308.07124 • Published • 31 -
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
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Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
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WizardCoder: Empowering Code Large Language Models with Evol-Instruct
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Magicoder: Source Code Is All You Need
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Granite Code Models: A Family of Open Foundation Models for Code Intelligence
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Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
Paper • 2308.09895 • Published • 1 -
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 127 -
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Paper • 2402.14658 • Published • 83 -
Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models
Paper • 2506.11116 • Published • 5 -
Thinking LLMs: General Instruction Following with Thought Generation
Paper • 2410.10630 • Published • 20 -
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
Paper • 2503.02951 • Published • 33 -
SWE-QA: Can Language Models Answer Repository-level Code Questions?
Paper • 2509.14635 • Published • 35 -
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
Paper • 2410.05605 • Published • 1 -
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
Paper • 2502.04350 • Published • 11 -
Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models
Paper • 2407.21077 • Published • 2 -
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Paper • 2504.01943 • Published • 15 -
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning
Paper • 2508.03501 • Published • 59 -
Dream-Coder 7B: An Open Diffusion Language Model for Code
Paper • 2509.01142 • Published -
PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
Paper • 2509.19894 • Published • 34 -
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
Paper • 2502.07316 • Published • 50 -
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 71 -
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
Paper • 2510.08697 • Published • 39 -
Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
Paper • 2509.22824 • Published • 21 -
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 188 -
X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
Paper • 2601.06953 • Published • 44