KubeDiagrams: Visualize Kubernetes manifests and Helm charts

Unit test and architecture every important related functions should be used to build package and push it into git and packagist to install it into every peoject #new_stage #are_you_ready

Is your code tangled with a lot of logic? Do you want flexible and testable application logic? I believe the Chain of Responsibility pattern makes my code easier to read, test, and extend. It separates who sends a request from who processes it. Use this pattern when you need to: - Decouple objects. - Run handlers in a specific order. - Change handlers during runtime. Want to dive deeper? Full article link here: https://lnkd.in/d3tPYmin #SoftwareEngineering #CodeQuality #TypeScript #DesignPatterns #Architecture

Sometimes what’s really needed isn’t another fancy architecture with ten layers of abstraction - it’s code that’s readable, self-explanatory, and testable. You know, the kind of code that doesn’t need a whiteboard session and three diagrams to understand what’s going on. The kind that tells its own story without requiring a “domain expert” to translate it. Complexity is easy - anyone can add more layers, abstractions, and acronyms. Simplicity, though… that’s the real craft.

Implementing Unit of Work with Entity Framework Core - Complete Ready-to-Use Code ➡️ Learn more about the Unit of Work pattern with my Clean Architecture course: https:/https://lnkd.in/eNEqQraB

Simplify before you optimize. If you can remove a dependency or a line of code, do it. Fewer moving parts = fewer bugs. Start with single responsibility, finish with a clean API. #CleanCode #Architecture

Why writing hardware-optimized code matters... The fact that naive Linear Transformers are slower to train than a regular exponential one tells you that hardware-optimized code is much more important than the actual time complexity of the architecture. If you don't write optimized code, your O(N) will be slower than someone's O(N2)

Working on a multi-agent system - this is how I currently see the model of a single agent architecture: Plan -> Execute -> Critic -> Review [Repeat | __end__]  A cyclic workflow where the agent: - Plans the task - Executes actions - Critically evaluates results - Reviews outcomes - Iterates with new insights This loop gives the agent both adaptability and continuous self-improvement. LangGraph Agent architecture from my code:

𝐄𝐯𝐞𝐧𝐭-𝐝𝐫𝐢𝐯𝐞𝐧 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐢𝐧 𝐑𝐚𝐢𝐥𝐬. 𝐀 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐨𝐫 𝐣𝐮𝐬𝐭 𝐚 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲? When performance lags or integrations pile up, EDA often feels like the answer. The truth is, it’s not a universal fix. Used at the wrong time, EDA can add unnecessary complexity, cost, and confusion without solving your real problems. And that’s what we’ve covered in our latest post. You’ll figure out: 🔹 The anatomy of Event-Driven Architecture: what it really is 🔹 When EDA makes sense and when it definitely doesn’t 🔹 Tools and libraries in Rails that support EDA 🔹 Tips to take into account before introducing EDA Read the full post here: https://lnkd.in/dx2RGSuk ❓ What's driving your EDA interest: genuine technical needs or industry pressure? #RubyOnRails #WebDevelopment #RoR #EventDrivenArchitecture 

Event-Driven Architecture in Rails feels like the ultimate solution until it creates a disaster. Building a system that scales is one thing, building one that doesn't collapse under its own complexity is another entirely. This post cuts through the noise and delivers a crystal-clear guide on when EDA is your superpower and when it's your downfall. If you’re deciding on your next architectural move, you absolutely need these insights. 👉 Stop guessing, read this first. #RubyOnRails #WebDevelopment #EventDrivenArchitecture

Many developers treat messages and streams the same way, but this can make the difference between an elegant, scalable system and a brittle one. 📨 Messages = Individual, self-contained packets  🌊 Streams = Continuous flows of related events over time The choice impacts storage patterns (CRUD vs. append-only), processing models (stateless vs. stateful) and scalability strategies (load balancing vs. sophisticated partitioning). Real-world systems need BOTH, but traditional approaches force you to choose one. Kurrent handles messages and streams with equal importance, eliminating the false choice and letting your architecture naturally reflect your business patterns. Read the latest blog by Kurrent’s Patrick Ball to learn how getting this distinction right can massively improve your event-driven architecture: https://lnkd.in/edQb-TJu