Codetown ::: a software developer's community
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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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Wes Reisz discusses an experiment to deliver a QCon certification using a Retrieval-Augmented Generation (RAG) architecture and supervised coding agents (Claude Sonnet/Cursor). He breaks down the 4-week serverless video transcription pipeline, RAG variations (hybrid, graph), and the process of structuring prompts for 95% AI-generated code.
By Wesley Reisz
LMArena has launched Code Arena, a new evaluation platform that measures AI models' performance in building complete applications instead of just generating code snippets. It emphasizes agentic behavior, allowing models to plan, scaffold, iterate, and refine code within controlled environments that replicate actual development workflows.
By Robert Krzaczyński
Amazon Web Services has announced enhancements to its CodeBuild service, allowing teams to use Amazon ECR as a remote Docker layer cache, significantly reducing image build times in CI/CD pipelines. By leveraging ECR repositories to persist and reuse build layers across runs, organisations can skip rebuilding unchanged parts of containers and accelerate delivery.
By Craig RisiMarina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference.
By Marina Moore
Late projects. Architectures that drift from their original design. Code that mysteriously evolves into something nobody planned. These persistent problems in software development often stem not from technical failures, but from forces we pretend don't exist—reward systems that incentivize the wrong behaviors, organizational structures that ignore domain boundaries, and human dynamics.
By Vanessa Formicola
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