Insights on AI/ML, web development, automation, and software engineering. Sharing knowledge and experiences from real-world projects.

Dive deep into the world of frontend testing. Learn essential strategies, tools, and best practices from unit to E2E tests, ensuring your web applications are reliable, performant, and user-friendly. A must-read for every software engineer.

Dive deep into TypeScript best practices that elevate your code quality, maintainability, and developer experience. From strictness to advanced types, master the techniques for robust, scalable web development.

Unlock the secrets to blazing-fast web applications. This comprehensive guide delves into frontend, backend, database, and infrastructure performance optimization, offering actionable strategies and code examples for developers.

Unlock the secrets to blazing-fast web applications. This comprehensive guide covers frontend, backend, and network strategies for performance optimization, essential for every software engineer.

Dive deep into robust automated testing strategies. Learn how to implement efficient unit, integration, and E2E tests, integrate automation into your CI/CD, and build a culture of quality for superior software delivery.

Dive deep into webhook automation patterns that empower developers and engineers to build resilient, scalable, and secure real-time systems. Learn practical implementations and best practices for modern integrations.

Unlock unparalleled efficiency with n8n. This comprehensive guide explores n8n's open-source power, customizability, and real-world workflow automation use cases for developers and engineers.

Dive into n8n, the powerful open-source workflow automation platform. Learn how to build no-code integrations and automate tasks, boosting your productivity.

Master n8n, the powerful open-source automation tool. Learn to create complex workflows, integrate APIs, and automate repetitive tasks without code.

A comprehensive explanation of transformer architecture, self-attention mechanism, and how models like GPT and BERT work under the hood.

Learn how I built UKAI, a comprehensive crypto trading platform using deep learning models and 160+ technical indicators. Discover the architecture decisions, challenges, and solutions.

Complete guide to implementing YOLO for real-time object detection. Covers YOLOv8, training custom models, and deployment strategies.

A deep dive into StockSageAI and how combining GRU and LSTM architectures led to highly accurate market predictions. Technical breakdown and implementation details included.

Modern React development patterns, performance optimization techniques, and common mistakes to avoid in 2025.

Best practices and patterns for building production-ready applications with Next.js 15, TypeScript, and Prisma. From architecture to deployment.

Learn to build a production-ready sentiment analysis system using transformers. Achieve 89% accuracy with BERT and RoBERTa models.

Complete guide to containerizing machine learning models and deploying them with Kubernetes for scalable, production-ready services.

Practical Python scripts to automate repetitive tasks, from file organization to API integrations and system monitoring.

Design APIs that developers love. Learn REST conventions, error handling, versioning, and documentation strategies.

Learn to build reliable, reproducible ML pipelines with proper versioning, monitoring, and deployment strategies.

Advanced techniques for optimizing PostgreSQL performance: indexing strategies, query optimization, and configuration tuning.

Step-by-step guide to building a production-ready chatbot using OpenAI's GPT models. Includes context management and streaming.

Compare Git workflows: Feature Branch, GitFlow, Trunk-Based Development. Choose the right strategy for your team.

Learn web scraping with Python using BeautifulSoup, Selenium, and Scrapy. Handle dynamic content and avoid detection.

When to use microservices and when to stick with a monolith. Practical guidance based on real experience.

Advanced techniques for time series forecasting using LSTM, Transformers, and ensemble methods.

Set up continuous integration and deployment with GitHub Actions. Examples for testing, building, and deploying.

Build reliable data pipelines for machine learning. Data quality, validation, versioning, and automation.

Real-world applications of computer vision: manufacturing quality control, retail analytics, healthcare imaging, and autonomous vehicles.

Practical advice for starting your software engineering career. Skills to develop, mistakes to avoid, and growth strategies.

Learn to fine-tune LLMs for your specific use case. Covers LoRA, QLoRA, and best practices for efficient training.

Essential security practices: input validation, authentication, encryption, and common vulnerabilities to avoid.

Compare Zapier and Make for workflow automation. Features, pricing, use cases, and when to use each.