Writing
The Blog
Practical articles on the decisions behind building production software — architecture, DevOps, and the patterns that hold up after 50+ client projects.
How I Refactor With AI Tools Without Breaking Production: Playwright + Branch Comparison
Pin current behavior with golden-master tests, generate a Playwright smoke net over every route, let the AI refactor one concern per branch, then interrogate both branches with the identical suite before anything merges.
Monitoring and Observability for Production Web Apps
Shipping code is half the job. Knowing what that code does once users are hitting it — and getting paged before they file a support ticket — is the other half. A practical guide to the three pillars of observability and how to wire them into a real production system.
Internal Tools That Scale: How to Build Admin Software Teams Actually Use
Internal dashboards, admin panels, and operations tools create leverage only when they are designed like real products, not temporary shortcuts for engineering teams.
Django Background Jobs: When to Use Celery, Queues, and Scheduled Workers
Slow requests, unreliable webhooks, and long-running reports are usually signs that work has outgrown the request cycle. Here is how we design background processing for Django projects that need to stay maintainable.
Kubernetes for Small Teams: When It Helps and When It Doesn't
Kubernetes has become the default infrastructure answer for production deployments — but for teams of two to ten engineers, the operational cost is often higher than the benefit. Here's how to make the right call for your scale.
Technical Debt Audit Guide for Growing Software Teams
Technical debt becomes expensive when nobody can describe it clearly. A structured audit turns vague engineering pain into a prioritised, business-readable plan.
React vs Vue vs Svelte: Choosing the Right Framework in 2026
After shipping production applications in all three, here is an honest assessment of where each framework excels, where it struggles, and when the choice actually matters for your project's success.
Python Type Hints: A Practical Guide for Modern Backend Development
Type hints transformed Python from a "figure it out at runtime" language into one where editors, CI, and your colleagues can catch bugs before they ship. Here is how to use them effectively in real backend projects.
TypeScript for Backend Development: A Practical Guide
TypeScript has moved from a frontend curiosity to the default choice for serious Node.js backend development. Here is how to use it effectively — from project setup to advanced patterns in production.
Web Performance Optimization: A Practical Guide for 2026
Slow websites cost revenue, hurt SEO rankings, and drive users away. This guide covers the techniques that produce the biggest real-world improvements — Core Web Vitals, image optimization, caching, and modern JavaScript loading strategies.
PostgreSQL Performance Optimization for Web Developers
Most slow web applications have a database problem. This guide covers the practical PostgreSQL tuning techniques that make the biggest difference — from reading query plans to index strategies and connection pooling.
CI/CD for Small Dev Teams: A Practical Guide to GitHub Actions
Continuous integration and deployment used to require a dedicated DevOps engineer and expensive tooling. GitHub Actions has changed that — here is how small teams can set up robust CI/CD pipelines without the overhead.
Docker for Web Developers: A Practical Introduction
Containers, images, Docker Compose, and how to stop saying "it works on my machine" — a ground-up guide for developers who have heard about Docker but never made it click.
Microservices vs Monolith: When to Split and When to Stay Together
The architecture debate that every growing engineering team eventually faces — and the honest framework for making the right call for your situation, not for the tech community's preferences.
REST API Design Best Practices: Lessons from Production
After designing REST APIs for fintech platforms, SaaS products, e-commerce systems, and data aggregators, here are the principles that prevent the most common — and most costly — design mistakes.
How to Build a SaaS MVP in 12 Weeks: A Developer's Practical Guide
From idea validation to first paying customers — the technical and product decisions that actually matter, and the shortcuts that will slow you down.
Why I Choose Django for Client Projects: Lessons from a Decade of Web Apps
After building everything from SaaS platforms to data aggregation engines, here is what we have learned about when Django is the right choice — and when it is not.