Codetown
Codetown ::: a software developer's community
Hermann Steidel's Likes
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Article: Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark
This article introduces a reinforcement learning (RL) approach grounded in Apache Spark that enables distributed computing systems to learn optimal configurations autonomously, much like an apprentice engineer who learns by doing. The author also implements a lightweight agent as a driver-side component that uses RL to choose configuration settings before a job runs.
By Hina GandhiPodcast: The Technical Founder's Path: Code, Leadership, and Balance
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Trisha Ballakur about transitioning from coder to startup CEO, balancing technical leadership with business development, and avoiding burnout on the journey.
By Trisha BallakurMicrosoft Adds Custom Copilot Agents for .NET Developers with C# and WinForms Experts
Microsoft and GitHub have expanded the Copilot ecosystem with the first .NET-focused GitHub Copilot custom agents, designed to improve productivity and code quality for C# and Windows Forms developers. The announcement, part of the broader Copilot custom agents’ rollout, introduces two purpose-built agents: C# Expert and WinForms Expert in the form of agent instruction Markdown files.
By Edin KapićAnthropic Releases Updated Constitution for Claude
Anthropic has published an updated constitution for Claude, its AI assistant, providing a structured framework that guides behavior, reasoning, and training. The constitution combines explicit principles with contextual guidance, making it a practical tool for improving alignment, safety, and reliability in real-world interactions.
By Robert KrzaczyńskiArticle: Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs
Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.
By Saranya Vedagiri
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