Prompt Engineering

A look at the growing debate over whether users should use polite language when interacting with AI, considering cost, efficiency, and human psychology.

Discover how to implement custom middleware hooks in LLM harnesses for advanced prompt transformation and data privacy, moving beyond standard tool limitations.

Struggling with 'LLMisms' and repetitive AI writing? Discover practical strategies for prompting models to output more natural, human-quality text.

Discover practical workflows and expert tips for maximizing productivity with Claude, from advanced sub-agent strategies to effective documentation habits.

Understand how 'thinking effort' parameters in AI models like Claude and ChatGPT are implemented, distinguishing between model weights, cache behavior, and decoding strategies.

Are AI coding instruction files like CLAUDE.md actually effective? Learn best practices for maintaining behavior rules and optimizing your agent's performance in this deep dive.

Discover practical strategies for selecting the optimal AI model for various tasks, including setting error budgets, matching models to complexity, and leveraging model-specific strengths for better outcomes.

Explore how tech interviews are transforming by 2026, with a deep dive into the impact of AI, the evolving role of Leetcode, and the essential skills hiring managers prioritize.

Many developers are feeling a profound sadness and loss of joy as AI reshapes coding, shifting from craftsmanship to prompt engineering. Explore perspectives on adapting, embracing AI's utility, and finding new satisfaction amidst forced adoption.

Many developers report Claude Code's declining performance for programming. Discover how external harnesses like OpenCode and strategic agentic workflows can reverse this trend, improve code quality, and boost AI-assisted development productivity.