Search Results: LLMDevelopment

A developer's four-hour experiment creating a SQL client exclusively through AI-assisted 'vibe-coding' yields a functional desktop app but exposes critical concerns about maintainability. The Seaquel project demonstrates LLMs' coding capabilities while highlighting the risks of uncurated AI-generated codebases.

A seasoned developer warns that using AI assistants as coding crutches erodes the deep conceptual understanding vital for true mastery. While LLMs accelerate output, uncritical dependence creates fragile mental models and hidden knowledge gaps with long-term consequences.

Discover battle-tested strategies for effective agentic development, from context engineering to feedback loops, distilled from real-world application building. Learn why frustrating agent behaviors often point to system design flaws rather than model limitations.