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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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Nuxt Test Utils has released version 4.0.0, which primarily integrates Vitest v4. This update changes the test environment setup to beforeAll, resolving issues with module-level mocks. It also improves mockNuxtImport for cleaner partial mocking and enhances state management for registered endpoints. The library remains vital for testing in the Nuxt framework, bridging unit and end-to-end testing.
By Daniel Curtis
Microsoft has launched the Azure Copilot Migration Agent, an AI assistant built into the Azure portal that automates migration planning, agentless VMware discovery, and landing zone creation. Despite being billed as generally available, the agent is in public preview and cannot execute migrations. Replication and cutover remain manual tasks in Azure Migrate.
By Steef-Jan Wiggers
ProxySQL 3.0.6 was recently released, along with a new multi-tier release strategy. The Stable Tier focuses on reliability and production use, the Innovative Tier introduces newer features earlier, and the AI/MCP Tier explores future capabilities, including AI integrations.
By Renato Losio
Enterprises that grant excessive access permissions to AI systems experience 4.5 times as many security incidents as those that do not, according to The 2026 State of AI in Enterprise Infrastructure Security, a report published by infrastructure identity company Teleport. The study found that identity management hasn't kept up with AI adoption in production systems.
By Matt Saunders
Discord engineering detailed how they added distributed tracing to Elixir's actor model. Their custom Transport library wraps messages with trace context and uses dynamic sampling to handle million-user fanouts. CPU optimizations included skipping unsampled traces and filtering context before deserialization, recovering 10+ percentage points of overhead.
By Steef-Jan Wiggers
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