Codetown ::: a software developer's community
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Thank you. The visual design was a combination of a researchers at Arizona State and my own ideas.
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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Microsoft's Build conference unveiled Agent Loop, a transformative feature in Azure Logic Apps enabling developers to embed AI agents into enterprise workflows. Leveraging over 1,400 connectors, it allows for creating autonomous and conversational agents for tasks like loan approvals and customer support, streamlining operations, and enhancing decision-making.
By Steef-Jan WiggersHashiCorp has released the Terraform MCP Server, an open-source implementation of the Model Context Protocol designed to improve how large language models interact with infrastructure as code.
By Matt FosterPrime Intellect has released INTELLECT-2, a 32 billion parameter language model trained using fully asynchronous reinforcement learning across a decentralized network of compute contributors. Unlike traditional centralized model training, INTELLECT-2 is developed on a permissionless infrastructure where rollout generation, policy updates, and training are distributed and loosely coupled.
By Robert KrzaczyńskiHashiCorp has announced the general availability (GA) of HCP Vault Radar, a tool designed to help organizations detect and remediate unmanaged and leaked secrets across their environments. With the GA release, HCP Vault Radar introduces a new feature that allows users to import discovered secrets directly into HashiCorp Vault, streamlining the process of securing sensitive information.
By Craig RisiIn this article, we share our experiences and insights on how large language models (LLMs) helped us uncover and enhance the conceptual constructs behind software. We discuss how these approaches address the inherent complexity of software engineering and improve the likelihood of success in large, complex software modernization projects.
By Michael Wytock, Ken Judy, Aaron Foster Breilyn
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