Today was a good day. I got enough done that I think I can skip most work this weekend, and build that Lego set sitting on my shelf that my kiddo been asking me “when can we build this?” This weekend, son.
[article] How Google build great engineering teams? Some good wisdom here from Addy that might be useful whether you’re a new team builder, or an experienced one.
[paper] Large Language Model-Based Agents for Software Engineering: A Survey. Check out this paper for a sense of why LLM tools are helpful in software engineering, why “agents” are different than straight-up using an LLM, and how these agents work.
[blog] Making mass changes to Infrastructure as Code. Are you able to change a lot of IaC configurations at once? Brian looks at why you might do that, and the challenges.
[blog] How Project Guideline helped me run a half marathon independently. Lovely story, and a reminder of how technology has given people mobility and freedom they had previously lost.
[article] 5 Ways Cursor AI Sets the Standard for AI Coding Assistance. This is definitely one of the buzziest tech tools of the year. Lots of folks like the completeness and flexibility.
[blog] GKE Enterprise: A platform engineered for success with Kubernetes. If the center of your internal platform is Kubernetes, you’ll want capabilities like these.
[blog] The RedMonk Programming Language Rankings: June 2024. Very little movement among the top 10. You’re not going to make a wrong bet on most of these! Check out the rankings over time too.
[blog] Intro to Ray for AI on Kubernetes. Kaslin explains this open source framework, why you’d use it, and how to get it running on Kubernetes.
[blog] Message Queues in System Design. Classic technology, but there’s always someone learning about it for the first time. Posts like this are a solid intro to how and when to use queues.
[blog] A Patent Search Agent with LangChain and Reasoning Engine. This shows you how to use a LangChain-as-a-Service experience to host AI agents.
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