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- What are your main interests in software development?
- Java/J2EE
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
Meta Ships React 19.2 Featuring Activity API, Cache Signals, and SSR Enhancements
React 19.2 introduces new APIs and performance improvements focused on better UI control and server rendering. Key additions include the new Activity component for managing UI states without losing component state, and the useEffectEvent hook, which separates event logic from effect dependencies.
By Daniel CurtisProducing a Better Software Architecture with Residuality Theory
Software architecture is tough because it blends coding, math, and business systems. Due to surprises, architectures tend to become irrelevant over time, Barry O'Reilly said. He presented residuality theory, where he suggested stressing naive architectures to reveal hidden “attractors” in complex business systems. This allows designs to better survive change and uncertainty.
By Ben LindersThinking Machines Releases Tinker API for Flexible Model Fine-Tuning
Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce infrastructure overhead for developers, providing managed scheduling, GPU allocation, and checkpoint handling. By abstracting away cluster management, Tinker allows fine-tuning through simple Python calls.
By Daniel DominguezClaude Sonnet 4.5 Ranked Safest LLM From Open-Source Audit Tool Petri
Claude Sonnet 4.5 has emerged as the best-performing model in ‘risky tasks’, narrowly edging out GPT-5 in early evaluations by Petri --- Anthropic’s new open-source AI auditing tool.
By Matt FosterDreamer 4: Learning to Achieve Goals from Offline Data Through Imagination Training
Researchers from DeepMind have described a new approach for teaching intelligent agents to solve complex, long-term tasks by training them exclusively on video footage rather than through direct interaction with the environment. Their new agent, called Dreamer 4, demonstrated the ability to mine diamonds playing Minecraft after being trained on videos, without ever actually playing the game.
By Sergio De Simone
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Best regards,
Mike