Daily Reading List – July 9, 2024 (#351)

I’m still emptying out a long reading queue from the vacation break. You’ll find some good advice in the items listed below.

[blog] Avoiding long-running HTTP API requests. Good post from Derek. There are a few patterns to consider when dealing with a request that can take a long time to process.

[blog] Building Flexible and Maintainable Go-Lang Apps. I admittedly didn’t know Google created a dependency injection framework for Go named Wire. Now I do.

[blog] RAG API powered by LlamaIndex on Vertex AI. This offers up a good walkthrough of a powerful LLM orchestration framework that you can use to customize results based on your corpus of data.

[blog] Chrome Prompt Playground. AI is definitely going to replace some work that engineers do. Simon used Claude to quickly build a playground interface for the built-in Chrome LLM.

[blog] Understanding BigQuery data canvas: how to easily transform data into insights with AI. I need to play with this more, but I like the idea behind this UX for exploring and analyzing data. The post points to a demonstration you can run yourself.

[blog] Boost performance of Go applications with profile-guided optimization. This is a very cool Go feature. Pass in CPU profiling info and get an optimized build. Here’s how to test that out.

[blog] Share your streaming data with Pub/Sub topics in Analytics Hub. This is very cool. Most hyperscale clouds offer a “data exchange” type experience to sell your business data. But we’ve added the ability to also publish streaming Pub/Sub topics for outsiders to subscribe to.

[blog] Introduction to Federated Learning. Train locally (on device, in your data center), upload a trained model, and aggregate all those models into a complete model. It’s a powerful concept that’s applied today in a few cases.

[article] Survey Surfaces Lots of Software Supply Chain Insecurity. AI chatter can drown out other topics, but don’t sleep on supply chain security. Security professionals aren’t.

[blog] AI Conundrums. Here’s a series of musings from Stephen that is well worth your time to read.

[blog] Scaling Chick-fil-A’s Design System from Tool to Service. I don’t think I’ve heard the term “DesignOps” before, but let’s roll with it. The CFA team takes a broad approach to design team work.

[blog] Counting Gemini text tokens locally. Maybe you use on LLM for small requests, and another for giant ones? How can you count input tokens to know which LLM to call? Our latest Python SDK has a local tokenizer that does the job.

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