Show HN: AI Coding Tools Benchmark – What Developers Experience (github.com)

A comprehensive benchmarking report on AI coding tools has been released, comparing user experiences and performance metrics across various coding agents. Notable entries include Claude 3.7 Sonnet, which supports 128K output tokens, and Gemini 2.0 Flash, offering a significant speed boost with a 1M context length. While some tools like DeepSeek V3 present cost advantages, they also deliver mixed results. The report highlights pressing issues such as "Vibe Coding" backlash, where AI-generated code often lacks clarity, leading to complications in production environments. This has spurred a shift among developers towards more manageable and economically viable AI solutions rather than relying on the "magic" of AI coding. The findings underscore a critical transition in the AI/ML community from purely generative models to structured engineering practices. It emphasizes the importance of using AI tools with robust planning capabilities to mitigate common pitfalls, such as convoluted code or severe hallucinations in outputs. Developers are gravitating towards Bring Your Own Key (BYOK) models that offer better control and transparency over costs, disrupting the traditional SaaS model. This evolving landscape thereby sets the stage for a new era of verified AI engineering practices, ensuring that developers can leverage artificial intelligence while maintaining rigorous coding standards.