Codetown ::: a software developer's community
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How To Compile Multiple Files Using NetBeans 6.5Hello, I'm new to Java and have been using NetBeans 6.5 as my IDE. I have been learning how to create classes and have come to the point w… Started by Mark Hollinger |
0 | Aug 12, 2009 |
Facebook connect JSThis is more javascript. However, I have been playing around with facebook connect on a website I am coding for and it is kind of a cool fe… Started by Tim Stevesi |
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Jun 18, 2009 Reply by Tim Stevesi |
Courses translated to frenchI want courses of iphone's development in french. Started by Mara |
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May 27, 2009 Reply by Michael Levin |
Comparing Tomcat and GlassfishThere is a direct connection between the Web container technology used by developers and the performance and agility of applications. This… Started by Carol McDonald |
0 | Mar 6, 2009 |
JavaFXhttp://weblogs.java.net/blog/caroljmcdonald/archive/2008/12/javafx_restful.html JavaFX RESTful Pet Catalog Client: a JavaFX application th… Started by Carol McDonald |
1 |
Dec 7, 2008 Reply by Michael Levin |
OJUG Mule Demo Source CodeHi All, What a great night! To those who are interested for the presentation slides and source code of my demo, you may download it here:… Started by Zemian Deng |
0 | Nov 20, 2008 |
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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Software only has value when shipped; faster release cadence matters. Development, deployment, and operations require different thinking, metrics, and investments. There are four impacts in tech: product success, compute capacity, engineering capacity, and strategic innovation. The biggest expense is people. AI shifts engineers toward deeper problem understanding, not fewer engineers.
By Ben Linders
Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows.
By Brendan O’Leary
Grafana Labs has released Tempo 3.1, the first minor update to the 3.0 architecture. It adds TLS and additional SASL mechanisms to the Kafka client, lets operators redact traces with a TraceQL query instead of a list of trace IDs, and introduces an experimental query-time hint that corrects TraceQL metrics for sampled data.
By Claudio Masolo
Spring Authorization Server now lives inside Spring Security 7 under the same Maven coordinates, so the upgrade is a version bump. This server-side guide covers enabling DPoP and RFC 8693 Token Exchange, explains why 7.1 apps can silently stop enforcing DPoP until they call .dPoP(), and shows how to combine both into narrowed, sender-constrained tokens for service-to-service and agentic calls.
By Dhruv Agnihotri
Meta has extended Private Processing to AI glasses, using confidential VMs, trusted execution environments, remote attestation, anonymous credentials, OHTTP routing, and TEE-based storage to process AI workloads and persistent user context in the cloud.
By Leela Kumili
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