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Adam Davis has not received any gifts yet
Posted on November 5, 2018 at 9:30pm 0 Comments 0 Likes
Hi! Is anyone interested in one of these books? If so please follow/retweet and tell me which book. Thanx!…
Posted on May 25, 2016 at 3:00pm 0 Comments 2 Likes
What is Groovy and why should I care?
Hello again, it's me, Adam. Earlier this year, I finished my self-published book, Learning Groovy,…
ContinuePosted on March 4, 2015 at 10:22pm 0 Comments 1 Like
Just a reminder: Oracle plans to stop updating Java 7 in April of this year (next month).
As outlined in the Oracle JDK Support Roadmap, after April 2015, Oracle will not post further updates of Java SE 7 to its public download sites.
This might be a good time to read …
ContinuePosted on February 28, 2015 at 3:00pm 3 Comments 2 Likes
Slightly modified from original post: http://adamldavis.com/
There’s a hot new programming language that I’m excited about. It can be used dynamically or statically-typed, your choice. It supports functional programming constructs, including first-class functions, currying, and more. It has multiple-inheritance, type inference, and meta-programming. It also integrates really well…
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Google has introduced LLM-Evalkit, an open-source framework built on Vertex AI SDKs, designed to make prompt engineering for large language models less chaotic and more measurable. The lightweight tool aims to replace scattered documents and guess-based iteration with a unified, data-driven workflow.
By Robert KrzaczyńskiIntroducing JUnit 6.0.0: a transformative update that unifies versions, elevates minimum requirements to Java 17, and introduces streamlined support for Kotlin suspend tests. Enjoy enhanced testing performance with the new CancellationToken API, built-in JFR listeners, and upgraded CSV parsing using FastCSV. Embrace the future of testing—migrate today!
By A N M Bazlur RahmanSally O'Malley explains the unique observability challenges of LLMs and provides a reproducible, open-source stack for monitoring AI workloads. She demonstrates deploying Prometheus, Grafana, OpenTelemetry, and Tempo with vLLM and Llama Stack on Kubernetes. Learn to monitor critical cost, performance, and quality signals for business-critical AI applications.
By Sally O'MalleySoftware engineering governance helps teams make decisions, Sarah Wells said at Goto Copenhagen. She argued it should support value delivery, not hinder it. Poor governance slows progress and can increase costs. A technical strategy with a radar can help teams to make better decisions, and aligning with DORA capabilities can boost their performance.
By Ben LindersAI code generation tools promise faster development but often create quality issues, integration problems, and delivery delays. A structured Plan-Do-Check-Act cycle can maintain code quality while leveraging AI capabilities. Through working agreements, structured prompts, and continuous retrospection, it asserts accountability over code while guiding AI to produce tested, maintainable software.
By Ken Judy
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All the best,
Mike