Category: machine-learning

I’ve got into the habit of starting the New Year by sharing six favorite albums I discovered during the last year. This years set includes Celtic jazz, trip-hop neo-fado, jazz-fusion…

Juntao Qiu moves onto a more complex example of a codemod, one that extracts a tooltip responsibility from a JSX component. This illustrates how to manipulate the AST in several…

As a library developer, you may create a popular utility that hundreds of thousands of developers rely on daily, such as lodash or React. Over time, usage patterns might emerge…

Design tokens are fundamental design decisions represented as data. Andreas Kutschmann explains how they work and how to organize them to balance scalability, maintainability and developer experience. more… Source: martinfowler

Once we’ve designed our initial data products, Kiran Prakash finishes his article by leading us through the next steps: identifying common patterns, improving the developer experience, and handling governance. more……

Having got an initial data product, Kiran Prakash leads us through the next steps: covering similar uses cases to generalize the data product, determining which domains the products fit into,…

Increasingly the industry is seeing the value of creating data products as a core organizing principle for analytic data. Kiran Prakash has helped many clients design their data products, and…

A very powerful new coding assistance feature made its way into GitHub Copilot at the end of October. This new “multi-file editing” capability expands the scope of AI assistance from…

With the recent uptick in tech activity on Bluesky, I’ve decided that I will start posting there in addition to my current locations. I’ve also put together my general thoughts…

Matthew Foster and John Mikel Amiel Regida finish their account of how they incrementally modernized a mobile application by looking at the results of their work. They achieved a significant…