Ai

Exploring why core software engineering principles like design, testing, and maintainability are becoming even more critical for managing complexity and risk in the age of AI-powered code generation.

Learn how to craft effective AI prompts that reduce hallucinations and deliver accurate results from platforms like Grok, with practical tips on context management and prompt engineering.

Research suggests microservices may be more suitable than monorepos for AI coding tools, especially with large projects, due to LLM context window limitations.

A humorous and accessible introduction to how neural networks remember information, explained through the lens of a fictional breakup between LSTM and BERT.

Explore the four non-negotiable principles that enable shipping 10,000 lines of code daily: rapid deployment, intense observability, rigorous testing, and living documentation.

Understanding how to develop and prompt your models is the challenge. Where do you start? The old process was to create a flow, but with models it's a bit different, it's about goals and guardrails.

Explore why open source software is becoming the superior choice for enterprises in the AI era, offering advantages in documentation, development speed, and community collaboration that proprietary systems cannot match.

Discover how interacting with AI enhances our cognitive abilities, focusing on the art of developing questions and the emerging role of Prompt Engineers in shaping AI conversations.