RENJITH AR

I am what I hide from you.

[Nikki Siapno @NikkiSiapno]

If you're serious about growth as a software engineer in 2026,

try these newsletters (all free):

1. System Design
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2. Engineering Leadership
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3. Insider Knowledge Big Tech
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4. Data Engineering
➟ https://t.co/7X0M40fTJz

5. Engineering Career Growth
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6. Test-Drive Development
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7. Frontend & Software Design
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8. DevOps & Cloud
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9. .NET & Architecutre
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10. Software Architecture
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11. Engineering & Leadership Insights
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12. Weekly Curated Tech Articles
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What other newsletters should be on this list?

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[Tim Buchalka @timbuchalka]

What Is Programming? A Complete Breakdown for New Learners

Programming is often misunderstood as “just writing code,” but in reality, it is a blend of multiple thinking skills, each contributing to how software is built, improved, and maintained.

[Dhanian 🗯️ @e_opore]

How does Docker work?

You write a Dockerfile (or use an existing image) that defines the environment, dependencies, and commands your application needs.
Docker reads this file and builds a container image , a lightweight, standalone, and executable package that includes everything required to run your app.

When you run a container:
→ Docker uses the container runtime to create isolated environments using Linux kernel features like namespaces and cgroups.
→ Each container shares the host’s OS kernel but runs in its own isolated process space.
→ The Docker daemon manages containers, images, volumes, and networks.
→ The Docker client (CLI) communicates with the daemon through REST APIs to build, run, and manage containers.

At runtime:
→ Docker ensures consistent execution by providing the same environment across development, testing, and production.
→ It manages networking, volumes for persistent data, and image caching for faster deployment.
→ Containers can be orchestrated using tools like Docker Compose, Kubernetes, or Swarm for scalability and automation.

The result: Docker delivers fast, portable, and reliable application deployment , the same code runs identically everywhere, from a developer’s laptop to cloud production servers.

👉 Want to go deeper? Check out this ebook:
Mastering Docker & Containers: From Beginner to Advanced Deployment
https://t.co/lIKb9UCyHl

[Bruno Borges @brunoborges]

#Java 25 quine, aka self-replicating program. Paste in a file https://t.co/41hYOcThRR and run:

$ java https://t.co/41hYOcThRR > output && diff https://t.co/41hYOcThRR output

void main() {
var s = """
void main() {
var s = %c%c%c
%s%c%c%c;
IO.print(String.format(s, 34, 34, 34, s, 34, 34, 34));
}""";
IO.print(String.format(s, 34, 34, 34, s, 34, 34, 34));
}

[Sahn Lam @sahnlam]

SSH Under the Hood

[Baeldung @baeldung]

Building Effective Agents with Spring AI https://t.co/rJNobuqrMn

[Spring I/O @spring_io]

🍃 Better Assertions with AssertJ by @TimteBeek @ Spring I/O 2025

▶️ Video: https://t.co/viExhFD8hs

🔗 Slides: https://t.co/9vhqGHcfxb

🛠️ Repo: https://t.co/wVDvHlqn5B #springio25

[Sahn Lam @sahnlam]

Useful Code-to-Diagram Tools for Software Architecture

[Bruno Borges @brunoborges]

I built a Runtime JAR Inspector in just 10 hours

Know which JARs are actually loaded in your JVM & focus on the vulnerabilities that really matter.

📖 Read the full story:
https://t.co/cKbtZIdfbR

#Java #JVM #Security #AppSec #SupplyChainSecurity

[Sahn Lam @sahnlam]

Handy Git Cheatsheet

[javinpaul @javinpaul]

I created a GitHub repository to help you learn with Java interview
And, it received 250+ stars on GitHub
It gives you:

- Java interview questions by topic
- Core Java Fundamentals
- Java interview resources

repo - https://t.co/dKBMudur97

[Baeldung @baeldung]

Testing in Spring Boot: https://t.co/QtH5WrV167

[Spring I/O @spring_io]

🍃 Top 10 Rest API Design Pitfalls by @VictorRentea @ Spring I/O 2025

▶️ Video: https://t.co/MoGYnVoxqJ #springio25

[GitHub @github]

How many times have you bookmarked a tutorial “for later” because you were too stressed about keeping up to actually enjoy learning it? It's time to stop panic learning, and start learning with joy. https://t.co/VDMYfrycZg

[Sergi Almar 🍃 @sergialmar]

If you’re starting your Spring AI journey, don’t start from scratch!

This awesome repo is packed with examples, projects, and resources to get you started quickly.

[Rod Johnson @springrod]

Second blog showing how AI agent examples from popular Python frameworks can be rewritten in Java to be better, using Embabel. Today: Pydantic AI.

https://t.co/BuumphsLwu

#embabel @java @PydanticAi @rseroter @gsaab @springboot @starbuxman @SpringAICentral @JamesWard

[Tech with Mak @techNmak]

Let's talk about - Redis

1./ Redis wasn't born in a lab, it was born from frustration. 😉

How?

➸ Back in 2009, Salvatore Sanfilippo needed a faster way to analyze website traffic for his startup.

Existing databases just couldn't keep up.

➸ So, he built his own solution => Redis (a super-fast data store that lives in your computer's memory.)

It was a game-changer, and it's still transforming how we handle data today.

Read more 👇

__

👍 Follow - @techNmak

#softwaredevelopment #redis #databases

[Dr Milan Milanović @milan_milanovic]

𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘁𝗼𝗼𝗹𝘀

The best free and paid software architecture diagramming and design tools.

𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀:

▪️ Enterprise Architect
▪️ Archi
▪️ Structurizr
▪️ Carbide
▪️ StarUML
▪️ Aplas
▪️ GenMyModel
▪️ Gaphor
▪️ Archipeg
▪️ Astah
▪️ Mood

𝗖𝗼𝗱𝗲 𝗯𝗮𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 (𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝘀-𝗮𝘀-𝗰𝗼𝗱𝗲):

▪️ PlantUML
▪️ Structurizr
▪️ Ilograph
▪️ Graphviz
▪️ Mermaid
▪️ Diagrams

𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘁𝗼𝗼𝗹𝘀:

▪️ Brainboard
▪️ Hyperglance
▪️ Hava
▪️ Archium

𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀:

▪️ Visio
▪️ LucidChart
▪️ https://t.co/0hdILdGwS3
▪️ Cloudcraft
▪️ isoflow
▪️ VisualParadigm
▪️ Cacoo
▪️ Cloudviz
▪️ Excalidraw
▪️ CloudSkew
▪️ Figma
▪️ Whimiscal
▪️ Miro
▪️ Mural
▪️ Sketch

The full list: https://t.co/WJVpBcURAJ

#softwareengineering #programming #softwaredesign #softwarearchitecture #technology

[Nikki Siapno @NikkiSiapno]

If you’re serious about learning agentic AI,

here’s a pathway I’ve found highly effective:

I’ve been diving deeper into how to build multi-agent systems.

A lot of courses out there are shallow in coverage.

To build real AI agents, you need more than just tool usage or prompt chaining.

You need a strong grasp of concepts like agent reasoning, orchestration, state management, and more.

Building multi-agent systems adds a whole additional layer of complexity on top.

I was looking for something that was comprehensive and covered the underlying concepts. While being equally hands-on with building multi-agent systems.

Something that would give me a strong understanding of how to build multi-agent systems, not just how to use the latest trending tool.

Udacity's Agentic AI Nanodegree program checked those boxes.

• It’s framework-agnostic. You’re not just learning one tool. You’re learning how agentic systems work under the hood.

• The projects aren’t basic. You’re challenged to build complex multi-agent systems.

• And there’s actual human feedback on your work from subject matter experts.

Check it out: https://t.co/6yi6Eaw2Eg

It's not for the faint-hearted. The course has a strong level of complexity, which is exactly what's needed.

Udacity gave me early access and offered to sponsor a post if I liked it. Here we are. It’s solid, and a great option if you’re serious about building agentic systems.

💬 Are you actively upskilling in agentic AI? ↓

[Java @java]

Java is not just adding features—it's also removing old ones that became obsolete and are either a maintenance burden, performance drag, or hazardous to use.

This episode of the Inside Java Podcast with @nipafx and @stuartmarks touches on 32bit ports, applets, finalization, and the security manager. https://t.co/88lV07ohEa