Tag: GitHub Copilot

The Psychology of Letting Go: Trusting AI in Vibe Coding Workflows

Explore the psychology behind vibe coding and why shifting from 'trust' to 'reliance' is key for developers. Learn how to calibrate your use of AI tools like GitHub Copilot to avoid subtle bugs while boosting speed.

Vibe Coding for Full-Stack Apps: What to Expect from AI Implementations

Discover what to expect from vibe coding for full-stack apps. Learn about vertical slice methodologies, tool comparisons, and real-world performance metrics.

Vibe Coding vs AI Pair Programming: Choosing the Right AI Workflow

Discover the difference between Vibe Coding and AI Pair Programming. Learn when to prioritize speed with vibe coding and when to ensure quality with AI pair programming.

Prompt Management in IDEs: Best Ways to Feed Context to AI Agents

Learn how to feed the right context to AI coding assistants in your IDE. Discover why less is more, how top developers use templates, and what makes JetBrains, GitHub Copilot, and CodeWhisperer different.

Code Generation with Large Language Models: How Much Time Do You Really Save?

AI code generators like GitHub Copilot save developers hours on routine tasks but introduce hidden risks in security and correctness. Learn where they excel, where they fail, and how to use them safely.

Code Execution as a Tool for Large Language Model Agents: How AI Systems Run Code to Solve Real Problems

Code execution lets LLM agents run the code they write, turning them from assistants into active problem-solvers. Learn how GitHub Copilot, CodeWhisperer, and Codey use sandboxing to safely execute code-and why security remains the biggest challenge.