Chief Roadblock Remover and Learning Enabler | Software Development Expert | Leadership & Career Coach | Speaker | Author | Building great products, building great teams!

🎯 I'm a result-driven 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗟𝗲𝗮𝗱𝗲𝗿, 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁, 𝗖𝗼𝗮𝗰𝗵, 𝗧𝗿𝗮𝗶𝗻𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 with more than 20 years of professional experience in different domains, including the 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆, 𝗯𝗮𝗻𝗸𝗶𝗻𝗴, 𝗲𝗻𝗲𝗿𝗴𝘆 𝘀𝗲𝗰𝘁𝗼𝗿, 𝘁𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁𝗮𝘁𝗶𝗼𝗻, 𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗲𝗹𝗰𝗼. 🚀 My mission is to provide 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 focused on architecture, the best agile practices, passionately 𝗯𝘂𝗶𝗹𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 to deliver innovative, 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀, working closely with customers and developing software products on different platforms.🎓 As a 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿, I published 20+ papers and book chapters in international conferences and journals (having more than 440+ citations and h-index 11 on Google Scholar), obtaining 𝗣𝗵.𝗗. 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀. Also, I have been involved as a 𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗿 𝗮𝗻𝗱 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 𝗰𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 𝗺𝗲𝗺𝗯𝗲𝗿, member of ACM, the IEEE Computer Society, and GOAI Research group. 🧑‍💼 I work as a professional 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗖𝗮𝗿𝗲𝗲𝗿 𝗰𝗼𝗮𝗰𝗵 for people in engineering leadership positions.✍🏻 Additionally, I am a 𝗽𝗮𝘀𝘀𝗶𝗼𝗻𝗮𝘁𝗲 𝗮𝘂𝘁𝗵𝗼𝗿, who helps more than 400,000 engineers, managers, and architects to build great careers, products, and teams through various platforms and channels.𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:📌 Leadership📌 Team building📌 Making things efficient📌 Creating self-contained systems📌 Be highly organized and make others too📌 Focus on strategy/goals📌 Make things happen📌 Career Coaching📌 Mentoring📌 Line management📌 Effective client communication📌 Software Architecture📌 DevOps mindset📌 Cloud (Azure)📌 .NET/C# (ASP.NET/WPF)📌 SQL Server/NoSQL📌 Agile methods (Scrum, Kanban, SAFe)📌 Product/project management📲 Feel free to contact me here via LinkedIn (DM)!

Dr Milan Milanović

Kubernetes killed more startups than server crashes ever did

You don't have Spotify's scale. You have 8 engineers and a single server that's running fine

But you watched a KubeCon talk, and now you've got 23 YAML files, a Helm chart nobody fully understands, and engineers debugging pod evictions instead of buildinga  product

Your "cloud-native infrastructure" is just a cloud bill with extra complexity

A $50/month VM can handle millions of requests. Your startup will run out of money debugging networking issues long before you need horizontal pod autoscaling

The best infrastructure decision is often the simplest one

Chief Roadblock Remover and Learning Enabler | Helping 400K+ engineers and leaders grow through better software, teams & careers | Author | Speaker | Leadership & Career Coach

Friday Developers Fun 🤣

The 5-minute meeting with a developer is not what you think it is

#developers #meme #fridayhumor

𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲

We see more tools enabling you to create software architecture and other diagrams as code. 

The main benefit of using this concept is that 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗱𝗶𝗮𝗴𝗿𝗮𝗺𝘀 𝗮𝘀 𝗰𝗼𝗱𝗲 𝘁𝗼𝗼𝗹𝘀 𝗰𝗮𝗻 𝗯𝗲 𝘀𝗰𝗿𝗶𝗽𝘁𝗲𝗱 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗶𝗻𝘁𝗼 𝗮 𝗯𝘂𝗶𝗹𝘁 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘁𝗼 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻.

Another benefit driving the growing use of diagrams-as-code to create software architecture is that it enables text-based tooling, which most software developers already use.

For architecture, as code, we can use different tools, such as:

𝟭. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝘇𝗿: Create multiple diagrams from a single (C4) model. https://structurizr.com/

𝟮. 𝗣𝗹𝗮𝗻𝘁𝗨𝗠𝗟: It is an open-source tool that allows users to create diagrams from plain text. https://lnkd.in/dWKnyicV

𝟯. 𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝘀: Turn Python code into cloud system architecture diagrams. https://lnkd.in/gPcpcJ7z

𝟰. 𝗠𝗲𝗿𝗺𝗮𝗶𝗱: Generation of diagram and flowchart from a text similar to Markdown. https://lnkd.in/dsTGKbwM

𝟱. 𝗔𝗦𝗖𝗜𝗜 𝗲𝗱𝗶𝘁𝗼𝗿: Free editor for drawing ASCII diagrams. https://asciiflow.com/

𝟲. 𝗠𝗮𝗿𝗸𝗺𝗮𝗽: Could you visualize your Markdown as mind maps? It supports the VS Code plugin. https://markmap.js.org/

𝟳. 𝗚𝗼 𝗱𝗶𝗮𝗴𝗿𝗮𝗺𝘀: Create system diagrams with Go. https://lnkd.in/d-cAq8zB

𝟴. 𝗦𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝗗𝗶𝗮𝗴𝗿𝗮𝗺.𝗼𝗿𝗴: You can create your UML sequence diagrams online using text notation. https://lnkd.in/drux93gN

Image: PlantUML

𝗔𝘇𝘂𝗿𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗡𝗘𝗧 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀

As a .NET Developer, you probably already know C#, ASP .NET, and other technologies, but in today's cloud-first world, knowing Microsoft Azure is essential for running and deploying your apps. 

This article provides a step-by-step roadmap for .NET developers who want to master Azure, from the basics to advanced DevOps and architecture.

1) Cloud Fundamentals

Lay the foundation so nothing feels mysterious later

• IaaS / PaaS / SaaS distinctions
• Regions & Availability Zones
• SLAs & cost basics

2) Azure Basics

Learn how Azure is organized and controlled

• Azure Portal, CLI & PowerShell
• Microsoft Entra ID & RBAC (access control)
• Resource groups & tags
• Azure Policy fundamentals

3) .NET Compute + Hosting

Deploy your services reliably

• App Service (web app deployment patterns)
• Azure Functions (triggers & bindings)
• Containers fundamentals + Azure Container Registry
• AKS basics (container orchestration)

4) Data Services

Store and connect data with patterns that scale

• Azure SQL + EF Core practices
• Cosmos DB (multi-model, partitioning)
• Blob & Queue Storage essentials
• Service Bus & Event Grid (async/eventing)

5) DevOps & Automation

Shift from manual to repeatable, safe workflows

• GitHub Actions / Azure DevOps pipelines
• Infrastructure as Code: Bicep (Terraform optional)
• Automated builds, tests & gates
• Deployment strategies (canary, blue/green)

6) Security & Identity

Security isn’t optional once you’re live

• Azure Key Vault & secret management
• Managed identities for services
• App security patterns & best practices

7) Observability & Ops

Run it healthily in production, not just launch it

• Application Insights (traces + metrics)
• Log Analytics & KQL basics
• Alerts + dashboards that teams use
• Resilience patterns (retry, circuit breaker)

8) Architecture & Ops

Make systems that tolerate stress and evolve

• Scalability patterns (CQRS, event-driven, partitioning)
• Microservices vs modular monolith thinking
• Cost optimization in design decisions
• Multi-region distribution fundamentals

Cert milestones you can align with:
AZ-900 → AZ-204 → AZ-400 → AZ-305

#dotnet #csharp #azure #cloud #devops

Vibe coding is good at spitting a lot of code, fast

But you still need to know architecture and system design

As well as fundamentals

Because, if you don't, you will get a big ball of mud, fast

𝗬𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗶𝘀 𝘄𝗮𝘀𝘁𝗶𝗻𝗴 𝟰𝟬% 𝗼𝗳 𝗶𝘁𝘀 𝗲𝗳𝗳𝗼𝗿𝘁. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗲𝗿𝗲 𝗶𝘁 𝗴𝗼𝗲𝘀

Most engineering leaders blame slow delivery on headcount. The real problem is invisible waste

In 2003, Mary and Tom Poppendieck mapped Lean manufacturing principles to software and identified seven types of waste. Every PR sitting in review, every feature nobody uses, every time a new hire rediscovers what a departed engineer knew, that's waste compounding quietly

But the original seven aren't the whole story. A 2017 empirical study by Sedano et al. observed eight software projects over two years and found new categories

And now there's a new one. GitClear analyzed 211 million lines of code and found that code churn doubled from 2021 to 2024 as AI coding assistants proliferated. Copy-pasted code jumped from 8% to 12%. We're generating waste faster than ever

The good news: once you learn to see waste, you can eliminate it

👉 Full breakdown: https://lnkd.in/d55iaqJu

🎒 Developer @ React • NestJS • Artificial intelligence 🤖 (OpenAI, LLMs, generative...)

I’m Jean-Vincent Quilichini, a product-driven engineer who enjoys turning complex systems - data, backend architecture, cloud infrastructure, and AI into production software that performs, scales, and stays understandable.

I build end-to-end products where Big Data meets applied AI: high-volume ingestion pipelines, search and analytics, LLM-powered enrichment, and clean user experiences on top. My work focuses on solving messy, real-world problems (latency, cost, observability, and maintainability) so teams can ship confidently and iterate without fear.

Strong engineering fundamentals : from React and Next.js frontends to NestJS, Fastify, and Express backends, I design systems with clear boundaries (DDD, CQRS when it makes sense) and APIs that stay boring in production.

Data at the core : PostgreSQL, MongoDB, Elasticsearch, Redis (structured, unstructured, search, real-time signals). I build pipelines, analytics, and relevance layers that turn raw data into decisions.

Applied AI, not hype : LLMs and generative AI are tools, not the product. I integrate them where they add leverage (automation, enrichment, summarization) while keeping evaluation, guardrails, and observability front and center.

Performance and UX matter : from shaving milliseconds on APIs to crafting fast, accessible interfaces with Tailwind, shadcn/ui, or Material UI, I aim to make complex systems feel simple. When needed, I’ll reach for WebAssembly or Three.js to push the browser further.

Production discipline : CI/CD, cloud infrastructure (AWS), Linux environments, monitoring, QA, and cost awareness are part of the job. I like releases that are uneventful.

I’m motivated by elegant solutions to hard problems and systems that are powerful and resilient.
Curious by default, pragmatic by choice, I build software that holds up long after the demo.

DM “MEET” or grab 10 minutes on my calendar and let’s put the machines to work so your people can do theirs.

Jean-Vincent Quilichini

Peter Steinberg built Clawdbot, so now everyone thinks “hustle harder = rewards.”

I’m going to annoy you:
Most of that hustle is not worth it.

Because the reward system is broken.

You can ship daily and still lose because:

→ You’re optimizing for attention, not revenue.
→ You’re building features for people who don’t pay.
→ You’re moving fast without measuring what matters.
→ You’re training your audience to expect free work.
→ You’re burning your best hours on low-leverage tasks.

The USA “grind” mentality sounds good on podcasts.

In real life, it often means: you take the risk, someone else takes the upside.

If you want rewards, do the boring parts:
→ Pick one problem. One buyer. One clear offer.
→Charge early. Put limits in writing.
→ Track churn, support time, and acquisition cost.
→ Say no to “quick calls,” “exposure,” and “just one tweak.”

Hustle is easy. Focus is HARD.

And if you keep confusing motion with progress, you’ll still be working at 2 a.m. next year, wondering why nothing changed.

🧱 Crafting AI apps with LLM as Senior Lead Developer • Python • NodeJS • C++ • React

Je ne suis pas devenu développeur expert en devenant plus intelligent que les autres, je le suis devenu en restant plus longtemps dans l’inconfort.

surtout dans mes jeunes années... car au début, je pensais que devenir expert voulait dire :

- tout savoir
- coder plus vite
- avoir toujours la bonne réponse

en réalité, c’était l’inverse.

je suis devenu expert le jour où j’ai arrêté de fuir ce que je ne comprenais pas.
au lieu de changer de techno, de projet ou de poste, j’ai creusé. C, Perl, Java, Bash...

concrètement, j’ai fait trois choses simples.

d’abord, j’ai accepté d’être lent.
j'ai pris le temps de lire la doc.
et surtout de comprendre le “pourquoi”, pas juste le “comment”.

ensuite, j’ai expliqué ce que j’apprenais... à des collègues, à des juniors.
parfois à personne, juste en écrivant...

parce que j'ai réalisé que : expliquer révèle les trous dans ta compréhension.

enfin, j’ai pris la responsabilité des décisions techniques. Non pas pour avoir raison, mais pour assumer les conséquences quand ça casse.

l’expertise ne vient pas du talent.
elle vient de l’exposition répétée à des problèmes réels et du choix de ne pas regarder ailleurs.

mon avis personnel c'est que l'on ne devient pas expert en accumulant des compétences.

on le devient en restant assez longtemps sur le même sujet pour vraiment le comprendre.

taplio

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taplio

The Battle

Dr Milan Milanović

Jean-Vincent Quilichini

Followers

Posts

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