GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in
Recently, Shopify’s CEO Tobi Lütke shared his thoughts on AI’s role in coding, stating that “reflexive AI usage is now a baseline expectation at Shopify.” The gist of his message was that AI is revolutionizing how we work, and everybody should jump on board this train or risk being left behind. I’m paraphrasing a bit, but not much – check out the post for complete context and content. This struck
MLOps roadmap 2024
The MLOps engineer role is different from an ML engineer role. Even though the role varies from company to company, in general, ML engineers focus more on bringing individual projects to production, while MLOps engineers work more on building a platform that is used by machine learning engineers and data scientists. To build such platforms, lots of different skills are required. Here is a roadmap
Tuesday, September 13, 2022 :: Tagged under: engineering. ⏰ 11 minutes. Hey! Thanks for reading! Just a reminder that I wrote this some years ago, and may have much more complicated feelings about this topic than I did when I wrote it. Happy to elaborate, feel free to reach out to me! 😄 🎵 The song for this post is I, Don Quixote from the musical Man of La Mancha, composed by Mitch Leigh and Joe
Me after years using python.Before starting this post, I want to acknowledge that soft and hard skills are equally important. Data people exist to deliver business value, or more broadly read facts from a pool of ever-growing data. But, even with a bunch of posts talking about soft skills, at the end of the day, we're being paid for the technical skills we have, and the ability we have to deliver
Modern technology has enabled the development and usage of storage, increasing the volume of information and data. As a result, data storage in recent years has been explosive. However, most of this data is untouched in databases and data lakes. For organizations and society to reap the benefits of collected data, we must interpret it. This requires high-level skills, where Data Science comes into
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Coding as Craft: Going Back to the Old Gym
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