Codetown ::: a software developer's community
Does anyone care to share their suggestions for documentation?
I'm asking because I recently had to change a program I wrote more than five years ago. I'd always thought that I've done a good job of documentation. But going through it was difficult. It WAS pulling apart an Excel in CSV format created and saved off by humans, so there was a lot of exception handling. But still . . . .
- Miek
Tags:
Generally I only put javadocs on public methods, especially ones that are used a lot. I use code comments sometimes, but generally if the code is hard to understand I take that as a "smell" that means you need to break down the code into more methods, refactor, or think about better naming.
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Developers on Apple platforms often face a fragmented ecosystem when using language models. Local models via Core ML or MLX offer privacy and offline capabilities, while cloud services like OpenAI, Anthropic, or Google Gemini provide advanced features. AnyLanguageModel, a new Swift package, simplifies integration by offering a unified API for both local and remote models.
By Robert Krzaczyński
Following the much anticipated release of Spring Framework 7.0, there was a flurry of activity in the Spring ecosystem during the week of November 17th, 2025, highlighting additional GA releases of Spring Boot, Spring Security, Spring for GraphQL, Spring Integration, Spring Modulith, Spring REST Docs and Spring Batch.
By Michael Redlich
Google Cloud recently introduced the preview of Bigtable tiered storage. The new feature allows developers to manage both hot and cold data within a single Bigtable instance, optimizing costs while maintaining access to all data.
By Renato Losio
The recently released Token-Oriented Object Notation (TOON) aims to be a schema-aware alternative to JSON that significantly reduces token consumption at a similar level of accuracy. While the existence and importance of token saved depend on the data shape. some benchmarks show TOON may use in some cases 40% fewer tokens than JSON, possibly resulting in LLM and inference cost savings.
By Bruno Couriol
The Allen Institute for AI has unveiled Olmo 3, an open-source language model family that empowers developers with full access to the model lifecycle, from training datasets to checkpoints. Featuring reasoning-focused variants and robust tools for post-training modifications, Olmo 3 promotes transparency, experimentation, and community collaboration, driving innovations in AI.
By Robert Krzaczyński
© 2025 Created by Michael Levin.
Powered by