InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
Analytics Insight

How AI Is Reshaping the Way Python Developers Write and Secure Code

Python is now one of the fastest-growing programming languages being used globally and supports machine-learning-based ...

AI can rewrite open source code—but can it rewrite the license, too?

Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...
IEEE

AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation

Abstract: Recently, researchers have proposed many multi-agent frameworks for function-level code generation, which aim to improve software development productivity by automatically generating ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...
GitHub

coffeegrind123/gemini-for-claude-code

This server acts as a bridge, enabling you to use Claude Code with Google's powerful Gemini models. It translates API requests and responses between the Anthropic format (used by Claude Code) and the ...