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June 2019 Blog Posts (4)
Wikipedia ::: Swampcast podcast features Brion Vibber, Wikipedia CTO
Here’s a blast from the past. Wikipedia CTO Brion Vibber walks us through the beginnings of Wikipedia. Enjoy! Click here to hear the…
ContinueAdded by Michael Levin on June 27, 2019 at 1:29am — No Comments
Pandora::: Swampcast features Pandora CTO Tom Conrad
Here’s one of the most talented CTO’s around to explain the inner workings of Pandora. Click here to…
ContinueAdded by Michael Levin on June 26, 2019 at 12:30am — No Comments
OSCON Free Expo Pass!
Added by Michael Levin on June 21, 2019 at 4:13pm — No Comments
Some thoughts on licensing from Google's Chris DiBona
Chris DiBona is the director of open source at Google, and he's been taking a big part in the open source and Free software ecosystem for a very long time--not least in his role with Google's Summer of Code. He recently posted on Twitter what he calls "a little rant" about software licensing -- well worth reading the whole (short!) thing.
Upshot: Be cautious and humble in…
ContinueAdded by Timothy Lord on June 2, 2019 at 7:10pm — No Comments
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Happy 10th year, JCertif!
Notes
Welcome to Codetown!
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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InfoQ Reading List
GitHub Will Use Copilot Interaction Data from Free, Pro, and Pro+ Users to Train AI Models
GitHub will use Copilot interaction data from Free, Pro, and Pro+ users to train AI models starting April 24, opting in by default. Collected data includes code snippets, inputs, outputs, and navigation patterns from active sessions, including private repos. Business and Enterprise tiers are excluded. Community concerns include dark patterns, IP exposure, and GDPR compliance.
By Steef-Jan WiggersPresentation: Directing a Swarm of Agents for Fun and Profit
Adrian Cockcroft explains the transition from cloud-native to AI-native development. He shares his "director-level" approach to managing swarms of autonomous agents using tools like Cursor and Claude Flow. Discussing real-world experiments in BDD, MCP servers, and language porting, he discusses why the future of engineering lies in building platforms that orchestrate AI-driven development.
By Adrian CockcroftArticle: Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot
This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and governance without altering existing retrievers or LLM infrastructure.
By Syed Danish AliESLint v10: Flat Config Completion and JSX Tracking
ESLint version 10 has removed the legacy eslintrc configuration system, finalizing a long transition to flat config. The update enhances developer experience, especially for plugin authors and monorepo teams, by changing configuration file location and improving JSX reference tracking. Node.js support has been tightened, and new assertion options have been added to the RuleTester API.
By Daniel CurtisPinterest Deploys Production-Scale Model Context Protocol Ecosystem for AI Agent Workflows
Pinterest engineering teams have deployed a production-ready Model Context Protocol (MCP) ecosystem that allows AI agents to automate complex engineering tasks and integrate diverse internal tools. Domain-specific MCP servers, a central registry, and human-in-the-loop approval improve security, governance, and developer productivity while saving thousands of hours per month.
By Leela Kumili
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