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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Google has released Gemini CLI, a new open-source AI command-line interface that brings the full capabilities of its Gemini 2.5 Pro model directly into developers’ terminals. Designed for flexibility, transparency, and developer-first workflows, Gemini CLI provides high-performance, natural language AI assistance through a lightweight, locally accessible interface.
By Robert KrzaczyńskiAt the Databricks Data+AI Summit, held in San Francisco, USA, from June 10 to 12, Databricks announced that it is contributing the technology behind Delta Live Tables (DLT) to the Apache Spark project, where it will be called Spark Declarative Pipelines. This move will make it easier for Spark users to develop and maintain streaming pipelines, and furthers Databrick’s commitment to open source.
By Patrick FarryArtificial intelligence excels at refining language and processing large text volumes, but lacks human-like contextual reasoning and emotional intelligence, Avraham Poupko said. Many human traits come into play when doing software architecture. As an architect, he suggests using AI for exploring tradeoffs and refining language with clarity and precision.
By Ben LindersDorota Parad shares the BLISS framework (Bulkheads, Levels, Impact, Simplicity, Pit of Success), explaining how we can eliminate productivity sacrifices made in the name of security. She discusses optimizing security practices to reduce friction, improve developer experience, and build more resilient systems that meet compliance without hindering innovation.
By Dorota ParadPhil Calçado, CEO of Outropy, shared key insights at the InfoQ Dev Summit on scaling generative AI products. He highlighted the need for effective workflows and agents in AI development, advocating for iterative approaches that leverage proven software engineering principles. His insights promise to guide teams in building resilient AI systems without reinventing the wheel.
By Andrew Hoblitzell
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