Codetown ::: a software developer's community
Genuine good times. You spend hours and days, months and years head down in that cloud, that great cloud of complete immersion in code, software development...an immersive career you have to have a real passion for. Otherwise, it’s worse than not good. But, you’ll know if you love it pretty quick. When it compiles, when it finally works, it’s like that magic fix everyone wants, but it’s only right for a particular personality. Then, you cut loose!
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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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This week's Java roundup for September 14th, 2026, features news highlighting: the GA release of JDK 27, LibericaJDK 27, Open J Proxy 1.0 and A2A Jakarta 1.0; point releases of Azul Payara, JHipster, JetBrains Ktor and BoxLang; and introducing Netflix ja, a modern JMS command line development experience for Java developers.
By Michael Redlich
Uber has redesigned shard placement in M3DB with fixed size subclusters to limit the impact of node failures, maintenance, and cluster scaling. The approach bounds shard dependencies, preserves replica isolation, and uses a greedy algorithm to select shard migrations while avoiding a separate rebalancing pass and unnecessary data movement.
By Leela Kumili
Cloudflare has introduced the Agent Development Lifecycle to enhance AI-driven engineering. The approach replaces the traditional SDLC, addressing bottlenecks in testing, deployment, and maintenance. Key components include automated software factories, dynamic orchestration, advanced observability, and a security model for autonomous agents, aiming for more efficient software management.
By Olimpiu Pop
OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge.
By Vinoth Govindarajan
In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.
By Sahil Agarwal
© 2026 Created by Michael Levin.
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