Insights

What you think before you build determines what gets built.

Harness EngineeringAI

AI is shifting from interaction to delegation. As agents take on real work, reliability becomes the core challenge. This article explores why the future of AI isn’t about better models—but better harnesses that control, guide, and scale agent behavior.

Beyond the Chatbot: Mastering Harness Engineering for the Agentic Era

Read →
Software ArchitectureArchitecture Patterns

Learn key software architecture patterns—including layered, hexagonal, microservices, and event-driven—along with use cases, benefits, and trade-offs to guide modern system design.

Software Architecture Patterns: A Practical Guide for Designing Scalable Systems

Read →
Software ArchitectureScalable Systems

Discover foundational software architecture principles that enable scalability, maintainability, and system resilience. Learn how to apply proven patterns to real-world software systems.

Essential Software Architecture Principles for Scalable Systems

Read →
Infrastructure as CodeIaC

Some notes of Infrastructure as CodeLearn how Infrastructure as Code (IaC) helps automate cloud infrastructure using tools like Terraform, Docker, Kubernetes, Ansible, and Packer. Understand key categories, benefits, and real-world applications.

Infrastructure as Code (IaC): Tools, Patterns, and Principles

Read →
engineering management

Discover how DevOps transforms software delivery through automation, collaboration, and continuous improvement. Learn core practices, the CAMS model, real-world tools, and pitfalls to avoid.

DevOps: A Practical Guide to Modern Software Delivery

Read →
engineering management

DORA 2023 isn’t just about speed—it’s about reliability, feedback loops, and developer experience. This post breaks down the five core DORA metrics, adds supporting DevEx indicators, and shows how to spot hidden friction in your CI/CD pipeline.

Rethinking Delivery Performance: Lessons from DORA 2023 and Developer Experience

Read →
software-engineering

Learn what clean code means and how SOLID, DRY, KISS, and YAGNI principles can help you write maintainable, scalable, and efficient software.

Clean Code and Essential Software Design Principles

Read →
quality-assuranceTesting

Explore the different types of software testing—unit, integration, end-to-end, signature, and monkey testing. Learn their purposes, differences, and best practices in modern development environments.

Understanding Software Testing Types: From Unit to Chaos Monkey

Read →
javascriptreactjs

This blog post explores advanced React.js patterns, performance techniques, and architectural trade-offs tailored for senior engineers. Moving beyond common best practices, it uncovers often-missed nuances in context performance, useEffect misuse, hydration mismatches in SSR, and concurrency behaviors in React 18+.

Patterns, Pitfalls, and Performance: A React.js Engineer’s Advanced Guid

Read →
machine-learning

A note for scikit-learn

Scikit-learn Note

Read →
machine-learning

methods for Machine Learning Model evaluation

Machine Learning Model evaluation

Read →
machine-learning

Ensemble methods

Ensemble learning

Read →
machine-learning

Some techniques for Dimensionality Reduction

Dimensionality Reduction

Read →
machine-learning

Some methods to deal with unbalanced dataset

Dealing with unbalanced dataset

Read →
machine-learning

A note for data preprocessing

Data preprocessing techniques

Read →
machine-learning

A note for clustering

Unsupervised learning - Clustering

Read →
machine-learning

An introduction to artificial intelligence and machine learning, explaining supervised, unsupervised, and reinforcement learning, cost functions, and the machine learning pipeline in a clear, structured way.

How AI and Machine Learning Work (A Clear, Practical Guide)

Read →
software-architecturedata-engineering

This guide explores the architectural principles and design patterns behind data-intensive applications, covering core concerns like reliability, scalability, and maintainability. It compares OLTP and OLAP systems, dives into data encoding formats (e.g., JSON, Protobuf, Avro), communication protocols (REST, RPC, message brokers), and deployment strategies like rolling upgrades. Ideal for developers and system architects building scalable, resilient backend systems

Key Takeaways from Designing Data-Intensive Applications

Read →
microservicearchitecture

Advanced microservices patterns: twelve-factor methodology, service discovery, migration strategies, reliability patterns & real-world implementation guide.

Microservices Architecture: Advanced Patterns and Implementation - Part 2

Read →
microservicearchitecture

Microservices fundamentals: domain-driven design, communication patterns, CQRS, deployment strategies & anti-patterns. Complete guide with examples

Microservices Architecture: A Comprehensive Guide - Part 1

Read →
authenticationsoftware-engineering

This guide explores the differences between session-based and token-based authentication, including detailed comparisons of storage mechanisms like cookies and localStorage. It covers best practices for securing web authentication, explains JWT and refresh token usage, introduces two-factor authentication, and outlines how modern standards like OAuth 2.0 fit into stateless authentication models. Ideal for developers and architects building secure, scalable web applications.

Understanding Web Authentication: Sessions vs Tokens, Cookies vs LocalStorage

Read →
engineering management

Discover the key principles of Software Engineering Management as defined by SWEBOK, including initiation, planning, execution, measurement, and closure—augmented with real-world insights and modern practices.

Software Engineering Management 101: A Practical Overview Based on SWEBOK

Read →