Codetown ::: a software developer's community
Roy Singham @ ThoughtWorks and Herman @ Softdrive talk with BBC about incubating the software development industry in Africa.
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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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At multi-tenant SaaS scale, a monolithic edge worker creates deployment coupling and broad blast radius. The article presents a modular Cloudflare Workers architecture using service bindings, with image optimization as a worked example of per-tenant format negotiation and device-aware sizing. It covers multi-CDN differences, staged releases, configuration, and testing.
By Chintan Tank
AWS has added Cluster Mode to Elastic Beanstalk, running applications on EKS clusters the service creates and operates. Clusters are assigned by subnet set and cannot be changed afterward, direct cluster access is service-managed, and AWS recommends separate clusters for untrusted or regulated workloads. The mode adds EKS and Auto Mode fees that EC2 discounts do not reduce.
By Steef-Jan Wiggers
Google has open-sourced AX, an orchestrator designed for managing autonomous AI agent workloads. AX operates on a runtime, Agent Substrate, treating agents as stateful actors. It provides resource-efficient task suspension and resumption to optimise performance and reduce latency in idle phases. It features a control plane with Kubernetes-style primitives for managing agent tasks and resources.
By Olimpiu Pop
GitLab has expanded GitLab Duo Self-Hosted to support models deployed through Microsoft Foundry, letting organizations run GitLab's AI development capabilities against models hosted in their chosen Azure environment.
By Craig Risi
David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.
By David Gudeman
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