#frontend-development

#frontend-development

AI is able to build things in minutes or even seconds that would take humans hours to do. But its biggest strength is also its biggest flaw. AI is, at its core, a tool used to imitate human knowledge in an advanced capacity. So while it's able to produce work faster, it also inherits all our biases. It's important to address these biases when building products to ensure that what we're developing can be used by everyone.

People naturally struggle to perform actions and continue day-to-day tasks with an abundance of choices . Too many indistinguishable choices reduce clarity in the decision-making process and simplicity in every individual task. This abundance of options has negatively affected every field of software engineering, including frontend development. In the past, developing a web app was simple, especially with the limited availability of stable, simple frontend development tools. In 2010, any developer could easily start building a web app to solve any general business requirement using JavaScript, jQuery, PHP, HTML, and CSS. They could use Adobe Dreamweaver or any syntax-highlighting-enabled code editor, and quickly ship the final product via FileZilla FTP.

GAIA is revolutionising the legal industry with AI that automates legal work and empowers legal professionals to work more efficiently and effectively.

Frontend chaos engineering focuses on proactively simulating real-world failure scenarios, such as slow APIs, unpredictable UI interactions, directly in the browser.

Copilot helps me start faster, move smarter, and catch things earlier.

I later discovered the Accessibility section hidden in the Design toolbar, offering options for adding tags, alt text, and ARIA labels to elements.

Imagine you're building a house... You have walls, windows, and doors - each built separately, but designed to fit perfectly together. This is similar to how modern Frontend-Development works.

Using Streamlit allowed me to build a fast and efficient frontend without leaving the comfort of Python, leveraging its data-centric features effectively.

SPA performance is not just a technical challenge, but a critical factor in product success. A loading delay of 1 second can reduce conversion by 7%.