So, so much AI stuff going on right now. Its not what matters most (see an article below on leadership development), or in its final consumption form (see an article below on abstractions), but it’s something to absolutely pay attention to.
[blog] When and How Should Developer Relations Teams Interact with Other Departments? My friend Daniel offers up some good perspectives on the when and how of developer relations. I’ve learned a lot myself about this over the past year.
[blog] The Future Of Cloud: Abstracted, Intelligent, And Composable. The gang at Forrester Research have some thoughts on where the public cloud is going.
[page] Introducing Llama 2. Meta is doing some cool work here. Check this out for an quasi-open, powerful LLM. Also take a look at the detailed paper about the model and its training process.
[blog] Google Cloud expands availability of enterprise-ready generative AI. For cloud-hosted models, check out four new foundation models for image generation, chat, code generation, and speech.
[blog] A developer’s guide to prompt engineering and LLMs. Useful advice from GitHub if you’re building an app based on an LLM.
[blog] Failure Resiliency and High Availability in Flipkart Messaging Platform. Here’s a deep dive into a resilient messaging architecture.
[blog] Spring Native and Serverless with Spring Boot apps on Google Cloud! This is a terrific post that walks you through building a basic Spring Boot app, then using the Native images to get a smaller image. And then deploy to a serverless stack.
[blog] Why I’m Not Writing About Generative AI. This Forrester analyst mentions that it’s more about leadership development than any particular tech trend. Good point.
[blog] Abstractions. Brian offers up a strong take on the idea of software abstractions, and choosing the right ones for your architecture.
[blog] Teaching Programming in the Age of ChatGPT. What a wild time to be a computing instructor. This study shows that teachers are concerned about using AI-assisted tools for cheating, and that students won’t learn fundamentals. But they also see promise.
[blog] Document AI introduces powerful new Custom Document Splitter to automate document processing. I don’t want to use a lot of AI models directly; I just want to use smarter tools. This is a good example.
[blog] Adding HTTP around Wasm with Wagi. Here you’ll find more exploration of the Web Assembly ecosystem and how to serve up HTTP-based microservices.
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