A developer shares key lessons from using AI agents full-time, focusing on workflow improvements, prompt strategies, and productivity gains in software development.
Explores how AI prompts have evolved from simple text strings into critical, reusable system components with logic, and the challenges this creates.
A deep dive into Google's Nano Banana (Gemini 2.5 Flash) AI image model, exploring its autoregressive architecture and superior prompt engineering capabilities.
An analysis of AI video generation using a specific, complex prompt to test the capabilities and limitations of models like Sora 2.
Explores the shift from traditional coding to AI prompting in software development, discussing its impact on developer skills and satisfaction.
Explores the common practice of developers assigning personas to Large Language Models (LLMs) to better understand their quirks and behaviors.
Learn how to use personal instructions in GitHub Copilot Chat to customize its responses, tone, and code output for a better developer experience.
A hands-on guide for JavaScript developers to learn Generative AI and LLMs through interactive lessons, projects, and a companion app.
Introducing hinbox, an AI-powered tool for extracting and organizing entities from historical documents to build structured research databases.
Explores three key methods to enhance LLM performance: fine-tuning, prompt engineering, and RAG, detailing their use cases and trade-offs.
A free, interactive course on GitHub teaching Generative AI concepts using JavaScript through a creative time-travel adventure narrative.
A guide to building AI applications using the LangChain framework, covering core concepts, installation, and practical examples.
Final notes from a book on LLM prompt engineering, covering evaluation frameworks, offline/online testing, and LLM-as-judge techniques.
A summary of Chapter 6 from 'Prompt Engineering for LLMs', covering prompt structure, document templates, and strategies for effective context inclusion.
Practical lessons from integrating LLMs into a product, focusing on prompt design pitfalls like over-specification and handling null responses.
Analysis of LLM wrapper libraries like LangChain and Guardrails, examining their hidden prompts and API call efficiency for structured JSON output.
A curated list of resources for learning Generative AI and Prompt Engineering, including guides, tutorials, and documentation from OpenAI, DeepLearning.AI, and Microsoft.
