The service offering seems solid, with a clear emphasis on technical rigor and practical learning. I notice that the content is quite specialized, which might be a barrier for some. From the information available, the company appears to prioritize deep dives into specific topics like GTFS feeds and generating functions. This is impressive, but the lack of broader context about their general services is slightly concerning. It would be good to see more variety in the types of problems they solve. Still, the transparency of their work on GitHub is a strong point, and it suggests a high level of competence in their chosen areas.
I appreciate how Code W/ Anthony seems to embrace complexity rather than avoiding it, especially with entries like the sinebow interference field. It feels like a genuine attempt to learn by practice, which is refreshing. However, from the information available, it is not entirely clear how these blog posts translate into broader service offerings or client work. The GitHub presence is a good sign, but I would want more context on the scale of their projects. Still, the technical depth is evident, and the recent activity on MTA data suggests they are actively engaged with real-world datasets. It is a positive signal, though more detail on their commercial side would be helpful.
From the information available, Code W/ Anthony presents a clear focus on complex problem solving through practical application. The blog entries show active engagement with topics like MTA data exploration and Kaprekar's constant, suggesting a deep understanding of the subject matter. This indicates that resources are regularly updated and the content is not static. For someone considering this company, the presence of source code on GitHub adds credibility. The approach seems to value learning by doing, which is a strong signal of technical proficiency. It feels accessible yet rigorous.
News
No news yet. This is where the business shares its own updates and press.
Code W/ Anthony is a personal blog and coding project site run under the handle @rollandonariver. It presents itself with the tagline "embracing complexity and learning by practice" and showcases technical writing and visualizations. Recent entries include exploring GTFS transit data from New York's MTA, an analysis of travel time versus Euclidean distance, and a visualization of Kaprekar's Constant. The site is hosted on GitHub Pages and includes a dynamic cover graphic generated by code.