TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation
cs.SE, cs.AI
Submitted: 2025-09-29
Updated: 2026-10-11
Terminology
Sources
- Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'
- Evaluating Large Language Models Trained on Code
- Program Synthesis with Large Language Models
- ExecRepoBench: Multi-level Executable Code Completion Evaluation
- GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model
- GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
- REPOFUSE: Repository-Level Code Completion with Fused Dual Context
- RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
- RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
- OpenHands: An Open Platform for AI Software Developers as Generalist Agents
- Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?
- debug-gym: A Text-Based Environment for Interactive Debugging
- SWE-smith: Scaling Data for Software Engineering Agents
- SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents
- DeepSeek-V3 Technical Report
- Cost-of-Pass: An Economic Framework for Evaluating Language Models
- GAIA: a benchmark for General AI Assistants
- OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety
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- PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
- IntentCoding: Amplifying User Intent in Code Generation
- Incentives and Outcomes in Bug Bounties