Codetown ::: a software developer's community
This report on GWT, "The Future of GWT", will be interesting to developers, architects and managers, too. You'll learn details about GWT's usability, its competitors and even opinions as to how it's going to stand up against Dart.
Over 1300 respondents provided data. Overall, GWT is looked upon highly by developers mainly because it targets multiple browsers at once and because it reduces hand coding of Javascript. Slow compile times were a major complaint. These comments are pretty obvious to anyone familiar with GWT, but useful to newcomers. The report digs much deeper though, so experienced developers will learn some things by seeing what a good size survey respondent sample thinks.
Here's a preview of what you'll see in the report:
You'll have to provide your name and email address to get a copy, but I think it's fair since the folks at Vaadin worked hard to provide it along with the other big contributors. And, thanks to Dave Booth for bringing this info to Codetown. If you have questions, Dave's your direct link to the group that put the report together. Check it out here.
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.

Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository tasks using coding agents that understand context and intent, GitHub says. This enables workflows such as automatic issue triage and labeling, documentation updates, CI troubleshooting, test improvements, and reporting.
By Sergio De Simone
The panelists emphasize that data engineering is no longer just about "click-and-drag" UI tools; it is software engineering applied to data.
By Fabiane Nardon, Matthias Niehoff, Adi Polak, Sarah Usher
Dropbox engineers have detailed how the company built the context engine behind Dropbox Dash, revealing a shift toward index-based retrieval, knowledge graph-derived context, and continuous evaluation to support enterprise AI at scale
By Matt Foster
Uber and OpenAI are replacing static rate limits with adaptive, infrastructure-level platforms. Uber’s Global Rate Limiter utilizes probabilistic shedding to manage 80M RPS, while OpenAI’s Access Engine implements a credit waterfall to prevent user interruptions. Both architectures utilize distributed enforcement and soft controls to maintain system stability and service continuity at scale.
By Patrick Farry
Moonshot AI released Kimi K2.5, their latest open-weight multimodal LLM. K2.5 excels at coding tasks, with benchmark scores comparable to frontier models such as GPT-5 and Gemini. It also features an agent swarm mode, which can direct up to 100 sub-agents for attacking problems with parallel workflow.
By Anthony Alford
© 2026 Created by Michael Levin.
Powered by
You need to be a member of Codetown to add comments!
Join Codetown