Prompt Engineering

Explore effective strategies for managing AI coding agents, delving into why a 'micromanagement' approach often yields superior results despite initial discomfort and how to mitigate its mental drain.

Explore a deep dive into whether agentic coding truly delivers net-positive results, featuring real-world experiences, practical tips for success, and a candid look at its limitations and the evolving role of developers.

Explore how AI coding impacts COBOL development, from strict formatting and compliance hurdles to its unexpected utility as a productivity tool. Discover strategies for leveraging LLMs effectively in legacy systems.

Combat "blank page" paralysis when using AI by shifting from describing output to architecting ideas with innovative constraints and cross-domain thinking. Discover actionable strategies to generate fresh, original concepts and reclaim your creative edge in the AI era.

Explore the spirited discussion on whether conversational AI should ban first-person pronouns to curb the illusion of consciousness and foster healthier user interactions. Discover arguments for and against, alongside practical tips for managing AI language.

Explore the benefits of AI coding in an IDE versus a CLI, weighing "flow" against "intent." Discover advanced workflows and tools that accelerate development, from voice-activated prompting to high-level project specification with AI.

Explore the dramatic shift in how developers write code, with many reporting a rapid decline in manual coding due to AI assistance. Discover key tools, workflow changes, and future insights into this evolving landscape.

Uncover how AI tools are reshaping software engineering productivity, from enabling new projects to creating unexpected challenges, and gain insights from real-world professional experiences.

Delve into the complex question of whether large language models can truly pass the Turing test. This post explores the common 'tells' of AI, how they can be overcome, and the deeper philosophical arguments surrounding AI and intentionality.

Explore how modern AI models interpret and discuss "vibe coding," a new paradigm for development where LLMs take the lead. Discover tips for effective prompt engineering to get the most out of your AI assistant.