Matt Bentley explores several software architecture patterns, discussing their practical applications and the scenarios where they excel. He emphasizes that selecting the appropriate pattern depends on specific requirements such as performance, scalability, flexibility, and team capability. Read the article here Real Ways To Maintain Your Technical Edge As An Engineering...
A simple programming productivity trick: leave work unfinished to reach flow
The article from Engineer's Codex shares four productivity tips for software engineers: leaving tasks slightly unfinished to regain flow easily, mastering keyboard shortcuts, organizing frequently used commands and links in a searchable document, and learning to say "no" to low-impact or redundant tasks. Each tip emphasizes efficiency, focus, and simplifying...
27 Unique Dev Challenges: A Recent Study Explored the Top Challenges Faced by LLM Developer
This article explores 27 challenges faced by developers working with Large Language Models (LLMs), including issues around data handling, model optimization, and ethical concerns. It highlights insights from a recent study to help understand these complexities in AI development.Read more Climbing the Ladder: Proven Ways to Elevate Your Position as...
On software as an “in-discipline”
The blog discusses the immaturity of software as a discipline, highlighted by incidents like the CrowdStrike fiasco, which demonstrate the risks of highly centralized software systems. Unlike well-established fields like civil engineering or medicine, software is still in its early stages and faces unpredictable failures due to its complexity and...
Writebook
Writebook is a free tool that allows users to independently publish books online without needing a publisher. It supports adding text, images, and sections, and allows for easy collaboration and reorganization, with the final book being instantly publishable on the web. Read about it here The biggest-ever global outage: lessons...
How does ChatGPT work? As explained by the ChatGPT team
ChatGPT works by converting text input into tokens, creating embeddings for each token, and using a massive weight matrix to predict the next likely token. This process involves pretraining on extensive datasets and applying gradient descent for optimization. The result is a language model that generates coherent, human-like responses based...
Why Engineers Should Study Philosophy
We think it is about the yin and the yang. Every good engineer is a good philosopher. Read it here A Short History of Chatbots If you are into conversational AI, you might want to look at the history and evolution here Interesting Battle There is an interesting battle behind...
What is Security Engineering?
What is Security Engineering? Is security engineering exclusive or should it be part of the dev lifecycle? Take a look here 15 Open-Source Projects That Changed the World We score 14/15. How about you? Take a look here ThoughtWorks Radar Some of our decisions are biased based on what the...
Best of Three years of curation
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Moving a Billion Postgres Rows on a $100 Budget
An interesting read on how to move large data sets at low cost and less pain. Read it here Champion Building - How to successfully adopt a developer tool In our decades of programming, we just go back to a few. How about you and how possibly you should add...