Hello all, I am “very” new to Java and fairly new to programming in general.  I have been reading the “Head First Java” book and while doing one of the examples came across an observation. I created a colored circle and a button when you click the button the circle changes to a random color with the repaint() method. I have dual monitors set up and what I noticed was that If I were to drag the window to the second monitor it fires the repaint() method. Can anyone explain why this happens? I know this is probably something as a new programmer I don’t need to know right now but it did intrigue me so I thought I would ask.

Views: 67

Reply to This

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

GitHub Agentic Workflows Unleash AI-Driven Repository Automation

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

Presentation: Panel: Modern Data Architectures

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

How Dropbox Built a Scalable Context Engine for Enterprise Knowledge Search

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 Retool Rate Limiting Systems

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 Releases Open-Weight Kimi K2.5 Model with Vision and Agent Swarm Capabilities

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

Badges  |  Report an Issue  |  Terms of Service