SWE-Lancer: Can Frontier LLMs Earn $1 Million from Freelance Software Engineering? (February 2025)

Описание: Title: SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? (Feb 2025)
Link: http://arxiv.org/abs/2502.12115v1
Date: February 2025

Summary:
The paper introduces SWE-Lancer, a new benchmark for evaluating the software engineering capabilities of large language models (LLMs) on real-world freelance tasks from Upwork. The benchmark consists of over 1,400 tasks, valued at $1 million in real-world payouts, including independent coding tasks and managerial decision-making tasks. The paper evaluates several frontier models and finds that they are still unable to solve the majority of tasks. The benchmark and evaluation split are open-sourced to facilitate further research into the economic impact of AI model development in the software engineering domain.

Key Topics:
Software Engineering Benchmark
Large Language Models (LLMs)
Freelance Software Engineering
Real-World Tasks
Upwork
End-to-End Testing
SWE Manager Tasks
Economic Impact of AI
Code Completion
Code Generation
Automated Software Engineering
Agentic Safety

Chapters:
00:00 - Introduction to SWE-Lancer
00:50 - Unique aspects of the paper
01:20 - AI Model Performance
01:55 - AI's Role in Augmenting Developers
02:19 - Pass@K and User Tools
03:09 - Current Limitations of AI
03:40 - Real-World Relevance
04:19 - Evaluation Process
04:48 - Individual vs. Management Tasks
05:14 - Proposed Solutions
05:51 - LLM Testing and Intriguing Patterns
06:23 - Boosted Success Rates
06:59 - Valuable Roadmap
07:14 - AI Code Localization
08:00 - Staying Ahead of the Curve
08:33 - The Importance of Pass@K
09:13 - The User Tool
09:55 - Compelling examples
10:38 - Future implications
11:30 - Limitations in SWE Lancer
12:30 - Future research areas
13:16 - Economic and Ethical Considerations
14:06 - Key Takeaways
14:45 - Problem Area
15:37 - The Future of AI
16:17 - Improving Success Rates
17:17 - Embracing Iteration
18:06 - Real World Examples
19:02 - Decisions
19:50 - Potential Problems
20:31 - One Example
21:15 - Architecture
22:16 - Incorporating
22:56 - Crucial Questions
23:38 - All of Us