Codetown ::: a software developer's community
There's a new tool on Codetown that lets you translate the entire site to…
Here's a recap of what happened at the JCertif 2011 conference in Brazzaville…
The month of July was a global gathering for all Java Communities around the…
Blog
Java 7 Launch events in Africa (photos)!!
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Hi folks,
It's been a while since last time I post here. I just want to share a project that I have started recently and hopefully it will benefit some of you.
In…
Blog My latest personal project 1 Like
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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Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs. He shares practical strategies for driving adoption through AI champions and hackathons, emphasizing the move from deterministic workflows to autonomous agents.
By Amit Navindgi
Moonrepo has released moon v2.0, its first major update since v1, featuring a plugin-based toolchain system and support for multiple configuration formats including JSON and TOML. The CLI has been restructured, enhancing task inheritance and Docker integration. Notable changes include a shift in architecture and improvements to VCS support.
By Daniel Curtis
Fast-scaling teams must rebuild trust and psychological safety as their social systems expand. Intentional, redundant communication across multiple formats can keep everyone aligned. Cross-team rituals, buddy systems, and rotating facilitators can reduce silos by building bridges between teams. Leaders accelerate this by modeling the vulnerability they want to see.
By Ben Linders
Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.
By Mark Silvester
Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that progressively erased the model's own thinking, and a system prompt verbosity limit that caused a 3% quality drop. The API and model weights were unaffected. All issues were resolved April 20.
By Steef-Jan Wiggers
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