Yonatan Steiner

24 posts

LLM-as-a-Judge: Using AI Models to Evaluate AI Outputs

Evaluating AI-generated text remains a significant challenge. Traditional metrics often fail when dealing with open-ended tasks. And while human evaluation is considered the gold standard, it's often slow, costly, and hard to scale. Enter the concept of "LLM-as-a-Judge," a novel approach where large language models (LLMs)

Capabilities, Pricing, and Integration Risks: x-ai/grok-4-fast:free

In the ever-evolving world of AI, the concept of "free" draws considerable attention, especially when it involves models like x-ai/grok-4-fast. This entry into the AI landscape offers significant AI access functionalities. Designed by xAI, and available via OpenRouter, Grok 4 Fast represents a shift towards more affordable

LLM Evaluation Fundamentals: Our Guide for Engineering Teams

Moving from the realm of traditional software testing to evaluating LLMs presents a unique set of challenges and opportunities for modern engineering teams. Below, we delve into the nuanced world of LLM evaluation, exploring the best practices, common obstacles, and effective techniques that are shaping the landscape today. Why evaluating

Install Claude Code: Step-by-Step Guide for Developers

AI coding assistants have been reshaping software development, making tasks more efficient and less time-consuming. Among these cutting-edge tools is Claude Code from Anthropic, a standout with its agentic capabilities in AI-assisted coding. Installing and leveraging such a tool can significantly enhance your development workflow. Why Claude Code? Claude Code

Claude code pricing: How to save money

Navigating the pricing structure for Claude Code, Anthropic's AI-driven code generation tool, can be daunting. Whether you're an individual developer or managing a team of engineers, understanding costs is essential for budgeting and maximizing the utility of this powerful tool. What the plans cost at a

Chain-of-thought is not explainability: Our Takeaways

“Chain-of-thought is not explainability” challenges the widely accepted notion that Chain-of-Thought prompting not only improves the performance of LLMs, but also offers a transparent look into their reasoning processes. Presented at a recent conference, this work offers a critical examination of how CoT outputs are often faithful explanations of a

Claude-code-spec-workflow

AI coding agents are revolutionizing software development, enabling more efficient workflows and faster iterations. However, without a structured approach, these agents can introduce costly regressions and unpredictable behaviors. For developers using Claude Code, embracing a spec-driven development (SDD) workflow is crucial to maximizing its benefits while minimizing potential challenges. How

GitHub Copilot vs Cursor: Navigating AI-Powered Coding Assistants

The rise of AI-driven coding assistants like GitHub Copilot and Cursor is reshaping developer productivity. These tools promise to streamline coding through intelligent suggestions, automated refactoring, and natural language interactions. As teams evaluate which AI assistant to adopt, understanding the key differences between GitHub Copilot and Cursor becomes crucial for

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