Prompt Engineering

Explore the concept of an LLM "Candor" slider designed to make AI provide frank, corrective feedback and push back on weak ideas, moving beyond mere agreeableness and sycophancy.

Facing frustration with AI code agents introducing unwanted changes during refactoring? Discover proven strategies like granular task breaking, precise positive prompting, and iterative review to keep your LLM agents focused and effective.

Many users report a significant decline in GPT-5's performance, citing increased hallucinations, slower responses, and a frustrating user experience. Explore the community's shared concerns and potential reasons behind these issues.

Discover practical strategies to use AI proactively, enhance critical thinking, and avoid passive consumption, transforming it into a powerful tool for learning and creativity.

Discover common developer experiences with AI coding assistants and learn key strategies to significantly improve the acceptance rate of code suggestions. Master the art of prompting and iterative refinement to get production-ready code faster.

Explore how modern AI's coding abilities are transforming programmers' interest, shifting focus from mundane tasks to creative problem-solving and higher-level design.

An analysis of whether startups can be successfully built using AI 'vibe coding'. We explore the current limitations at scale, practical workflows for developers, and the rise of AI-generated 'slop apps' tied to course-selling.

An analysis of why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.

A guide for developers on adopting AI coding assistants, covering top tools like Cursor and Claude, effective workflows like maintaining a context file, and best practices to avoid common pitfalls.

An analysis of why LLM API costs are likely to remain high in the short term due to vendor R&D, and a look at practical strategies for managing this significant expense.