Functional Programming in Lisp: Core Concepts and Examples

Functional Programming in Lisp: Core Concepts and Examples

Functional Programming in Lisp: Core Concepts and Examples Lisp isn’t just a language—it’s a vibe. A philosophy wrapped in parentheses, whispering sweet nothings about lambdas and closures while sipping symbolic espresso. Let’s explore why functional programming in Lisp feels like giving your code a superpower glove adorned with recursive gems and higher-order sparkles. Why Lisp Devs Have All the Fun Lisp treats functions like first-class celebrities. They can be: Passed as arguments to other functions Returned as values Stored in data structures Created dynamically at runtime This transforms coding from “instruction-following” to “composing a symphony....

July 14, 2025 · 3 min · 509 words · Maxim Zhirnov
The Case Against Always Using Agile Metrics

The Case Against Always Using Agile Metrics

Why Your Agile Metrics Might Be Lying to You Picture this: Your team’s bug resolution stats look like Olympic gold medals. But your product quality? It’s falling apart like a cheap suit in a monsoon. Welcome to the theater of Agile metrics—where what gets measured gets manipulated, and what gets manipulated eventually mutilates your product. I’ve seen it happen. Three years ago, a CTO proudly implemented “bugs resolved per sprint” targets....

July 14, 2025 · 3 min · 629 words · Maxim Zhirnov
Predicting Customer Exodus: Building an XGBoost Churn Model That Actually Works

Predicting Customer Exodus: Building an XGBoost Churn Model That Actually Works

Why Customer Churn Prediction Matters More Than Your Morning Coffee Let’s face it - losing customers feels like being ghosted after a great first date. You thought everything was going smoothly, then poof - they vanish without explanation. In the business world, we call this “churn,” and it’s the silent killer of revenue streams. I learned this the hard way when my favorite coffee shop suddenly closed because they couldn’t predict which customers would jump ship to the new artisanal place down the street....

July 13, 2025 · 6 min · 1250 words · Maxim Zhirnov
AI-powered thought police: Code analysis for 'wrongthink' patterns

AI-powered thought police: Code analysis for 'wrongthink' patterns

The Digital Mind Police Are Knocking (And They Brought Python) Picture this: You’re debugging code at 2 AM when an automated email pings: “Warning: Pattern 7C detected in commit #a3f8b2. Mandatory re-education module assigned.” Welcome to the future of AI-powered ideological compliance, where your variable names could land you in a virtual sensitivity training session. Let’s dissect how “wrongthink” detectors work – and why they’re scarier than a segfault in production....

July 13, 2025 · 3 min · 493 words · Maxim Zhirnov
Building a Log Analysis Fortress with ELK Stack: From Chaos to Clarity

Building a Log Analysis Fortress with ELK Stack: From Chaos to Clarity

Introduction Logs are like digital breadcrumbs – they’re everywhere, they’re messy, and if you don’t organize them, you’ll get lost in the forest of your own infrastructure. That’s where ELK Stack (Elasticsearch, Logstash, Kibana) comes to the rescue. Think of it as your personal log butler, detective, and artist rolled into one open-source package. In this guide, we’ll build a log analysis system that turns your cryptic server mutterings into actionable insights....

July 12, 2025 · 4 min · 764 words · Maxim Zhirnov