Evaluating LLMs for Real-World Coding Tasks
Beyond single-file solutions: Testing LLMs on multi-file project problems
The HackerRank-ASTRA Benchmark introduces a rigorous framework for evaluating how well Large Language Models perform on complex, multi-file coding projects that mirror real-world software engineering challenges.
- Creates project-based problems rather than standalone coding exercises
- Evaluates model consistency through multiple runs
- Provides deeper insights into LLM capabilities for realistic software development
- Addresses limitations in existing benchmarks that focus on isolated coding problems
This research matters because it helps bridge the gap between academic evaluations and actual software engineering applications, enabling more reliable assessment of LLMs for real engineering workflows.