Mikhail Laptev retweeted
Writing code used to teach us the system. Not the typing, but the time we spent inside it. Agents compress that time. I wrote about what that costs us in understanding and judgement, and the cycle it can start. rdiachenko.com/posts/essays/…
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Mikhail Laptev retweeted
Do you remember the heap memory? 🤔 @JosePaumard takes us down memory lane.
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Mikhail Laptev retweeted
Quality went up alongside output. Even with more PRs shipping, total incidents dropped 5%. They built security guardrails and quality standards into the agentic workflow itself. Productivity vs quality is sometimes framed as a tradeoff. They're not seeing it.
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"which opportunity scares you the most that's the one where you're gonna grow the most" ©️
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Mikhail Laptev retweeted
Groundsource is a new AI-powered methodology that transforms millions of public reports into a high-quality record of historical disaster data to aid crisis prediction — starting with flash floods in urban areas.

ALT Gif rotating through different maps with colored geographic markers on them. A red text box reads "Introducing Groundsource" on top of an orange text box that reads "Using AI to predict flash floods."

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Mikhail Laptev retweeted
We've been working on this for a while -- it's impressive (and scary) to see the kinds of security issues it has identified. Rolling out slowly, starting as a research preview for Team and Enterprise customers.
Introducing Claude Code Security, now in limited research preview. It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss. Learn more: anthropic.com/news/claude-co…
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Mikhail Laptev retweeted
You can extend Kubernetes' functionality by building custom operators. And this course teaches you how to do it using Go and Kubebuilder. Your operator will manage AWS EC2 instances directly from K8s, and you'll learn about the internal architecture of informers, caches, finalizers, idempotency, & more. freecodecamp.org/news/build-…
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My "Learn Reflection with Java" Course is now also available on Coursera - coursera.org/learn/pearson-l… - if you like it, I have hundreds more hours of #Java content on javaspecialists.teachable.co… :-)
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Mikhail Laptev retweeted
Steven Skiena's "Data Science Fundamentals" Lecture Videos: piped.video/playlist?list=PL… Course Website: cs.stonybrook.edu/~skiena/51…
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Mikhail Laptev retweeted
Congratulations to Michel Devoret, Google Quantum AI’s Chief Scientist of Quantum Hardware, who was awarded the 2025 Nobel Prize in Physics today. Google now has five Nobel laureates among our ranks, including three prizes in the past two years. goo.gle/46EwKaG
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OpenRewrite v8.50.2 is here! 🎉 🐘 Gradle Kotlin DSL recipes 🌟 Groovy parser improvements 🔀 Expand JavaTemplate & Refaster support 🧪 New recipes for AssertJ & JUnit 5 🍃 Recipes for Spring Framework 6.2 & Spring Batch github.com/openrewrite/rewri…
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Mikhail Laptev retweeted
CVE-2025-0851 is a newly identified vulnerability that raises important questions about potential risks in Deep #Java Library's ecosystem, details provided by @BrianVerm @snyksec on Foojay.io. foojay.io/today/path-travers… #foojaytip
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MVPs need to consider not only the market viability of a product but also its technical viability to be maintained and adapted to changing needs over time. MVPs are not limited to the startup context, since every application has an initial release that can be thought of as an MVP
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Making the architectural decisions transparent helps the organization to better understand why certain choices have been made, which helps them make better decisions about how they can adapt the product to changing market conditions and evolving customer needs.
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