Videos

Legacy codebases are hemorrhaging talent as maintainability collapses under the weight of unpatched dependencies and deprecated logic. We must confront the reality that staying on aging frameworks is a strategic failure. Here's why you need to migrate now. #programming #softwareengineering #archit

In this video, we break down exactly when a centralized control plane collapses under load, the exact cost curve of coordination vs. debugging, and how to use Choreography as a pressure relief valve at scale. 🔍 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗰𝗼𝘃𝗲𝗿: - Control Plane Under Load (Kubernetes, Nginx, API Gateway) -

I benchmarked the same cloud API implementation in Zig, Rust, and C++ with identical routes, schema, workload, and environment. In this video we compare: - Throughput under c=100, c=250, c=500 - Tail latency (p99) behavior under load - Operational footprint (image size + memory) - Real source files

#WebAssembly #Javascript

I benchmarked Rust (Axum) and C++ (Drogon) for cloud REST APIs with PostgreSQL JSONB workloads. Performance is nearly identical (3-5% difference), but operational costs differ wildly. 𝗞𝗲𝘆 𝗳𝗶𝗻𝗱𝗶𝗻𝗴𝘀: - Throughput: 38-42K req/s (Rust) vs 39-40K req/s (C++) — statistically equivalent - Conta

Most apps do not need a heavy Single-page application(SPA). HTMX + Go cuts bundle weight, removes hydration debt, and ships as a single binary. This video breaks down the real tradeoffs, shows the server-side pattern, and explains when SPAs still win.

I built the same microservice in Rust (Axum), Go (Fiber), and ASP.NET (Minimal API) Github : https://github.com/prod-garbage-destroyer/rust-go-dotnet-microservice-2026/tree/v1 - identical endpoints, identical PostgreSQL backend, identical connection pool config — and benchmarked them with wrk at 50

Cold start is a tie at ~500ms. But Go uses 7.6x less memory and 6x smaller images. The hidden cost? The database driver. Here's the full breakdown. Checkout the Benchmark Repository on Github/prod-garbage-destroyer/cold-start-tax-experiment

Spring Boot is the industry titan. Quarkus is the cloud-native speed demon. In this 6-minute deep dive, we put the frameworks to the trial across performance, developer experience, and deployment reality. In 2026, "it works" is no longer enough. We analyze why the Build-Time-First philosophy of Qua

Most developers treat brokers like Pokémon—collecting them without understanding their powers. Today, we’re ending the confusion between Kafka, RabbitMQ, and MQTT. In this architectural deep-dive, we explore: - The "Kafka-first" fallacy and why over-engineering kills productivity. - MQTT: QoS levels

The AI agent market has split. You either choose speed, or you choose reliability. But one of these is getting users rate-limited into absolute rage. #coding #softwareengineering #webdevelopment #programming #tech #developer #programmer #softwaredeveloper #ai #artificialintelligence #claudecode #o

Airbnb, Twitter, Shopify - all started as monoliths. Microservices solve scale problems. Not startup problems. Which architecture are you running? 👇 #WebDev #SystemDesign