In Agile SCRUM, upfront planning is done for the different phases of a project, outlining the minimum scope and the requirements for each phase. The Agile SCRUM methodology accounts for some planning in the process, with user stories, tasks, and requirements turned into tickets that become part of a sprint. There’s also the concept of … Read more
Engineering managers have a different workflow than ICs (individual contributors), and though we often use the same tools, their layout and integration into our workflow are different. The most essential tool is the calendar.
This article explores webpack, focusing on ways to investigate the build-time performance of webpack for your React apps. First, we cover the items that can affect build-time and runtime performance. Next, we’ll explore profiling tools for CPU and memory usage and how to use them. We’ll then delve into webpack bundles and how to analyze what’s in a bundle. Finally, we talk about setting goals.
There are three parts to a data pipeline for analytics: ingestion, processing/transformation, and interpretation. The data pipeline for large language models or any pre-trained model such as GPT-3.5 and GPT-4 has the following steps: ingestion, processing / transformation, and evaluation. Data pipelines are everywhere.
Writing smart contracts with Rust and CosmWasm for Cosmos blockchains is fun to do. You can write smart contracts for Cosmos-based blockchains using the Rust programming language and the CosmWasm SDK and libraries. Cosmos is a blockchain that makes building new chains easier than before, also known as an internet of blockchains. Cosmos functions as a foundation that can be used to build application-specific blockchains that are interoperable.
We’re going to walk through the basics of machine learning and applying it to the problem of email spam prediction. We are going to do this by loading training data sets, building a few machine learning models and then checking their performance on test data sets. The data sets we are using are small enough to be understandable and the models only have a few features. This makes it easier to puzzle out how the machine learning algorithm and neural networks are interpreting the input and producing the output.
From 2014 to 2019, I wrote a newsletter called “Learning AngularJS”. I have collected the articles here as an archive of that newsletter. I also published a video course on testing AngularJS code in 2015.
Reference for SCRUM Agile
CodeMentor has published my article “8 More Ruby on Rails Interview Questions and Answers”
Arc.dev has published my article “Engineering Manager Interview Questions”