Codetown ::: a software developer's community
Guess you know about all the resources and video cast Oracle providedat the Java 8 Launch site:…Continue
Started by Michael Levin. Last reply by Michael Levin Mar 29, 2014.
In this interview, Google’s Josh Bloch shares his views on the…Continue
Started by Michael Levin Dec 21, 2010.
JCertif is one of the first Java related conferences in the Republic of Congo, Brazzaville. Sponsored by…Continue
Tags: Max Bonbhel, Michael Levin, swampcast, africajug, congojug
Started by Michael Levin Aug 25, 2010.
Here's an update from the Chair of the JCP and director of the JCP Program office: Patrick Curranhttp://java.ulitzer.com/node/965152JSR Watch: Here’s…Continue
Started by Michael Levin May 19, 2009.
Are you doing much concurrent programming? I attended some of the concurrency talks at the NFJS conference and I'm using a mix of the old synchronized and the new(ish) java.util.concurrent classes.…Continue
Tags: Concurrency, J2SE
Started by Matt Weber Aug 31, 2008.
Comment
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.
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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
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