Prompt Engineering

Solo founders are exploring using LLMs like Claude as strategic partners to fill the cofounder gap, engaging them in design, strategy, and pricing discussions. Learn how to prompt LLMs for critical thinking and discover alternative advisory approaches for building your business.

LLMs are changing how we code, introducing significant waiting times. Discover practical strategies from experienced developers on how to stay productive and focused while your AI writes code, from parallel tasking to creative side projects.

Explore how developers are truly integrating AI tools, from battling 'AI slop' to harnessing them for specific tasks like code snippets and test generation. Learn practical tips for effective AI use while maintaining your workflow.

Discover how experienced software developers can effectively transition into AI development by focusing on practical application building, leveraging existing models, and mastering essential prompt engineering techniques.

Discover effective strategies for assessing developers who leverage AI coding tools in interviews. Learn how to evaluate prompt engineering, critical thinking, adaptability, and real-world problem-solving skills in the age of AI.

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.