Detailed Technical Design bridges architecture and code. By defining requirements, contracts, and code design upfront, teams gain predictability, reduce rework, and build consistent structure, leading to efficient, maintainable software delivery.
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After 13+ years in software architecture, I’ve defined 10 key practices that help deliver predictable, maintainable software—covering design structure, process, team setup, and infrastructure. Here's how I keep complexity under control and systems built to last.
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Project Design brings an engineering approach to software projects. It enables Predictability through clear planning, accurate estimation, and strong collaboration between architect and PM. Learn how Code Design and Training improve delivery outcomes.
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Learn how Application Infrastructure enforces architecture in code to support predictable delivery. Improve code design, reduce complexity, and boost team efficiency in long-term software projects.
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Building and evolving a complex system in production for years demanded high technical quality, even with team volatility. This session shares our project's story, focusing on strategies for sustainable long-term development.
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When projects technically fail, the reason is frequently uncontrolled complexity – where Clean Architecture remains a concept on paper, not in code. This talk demonstrates how to achieve predictability by implementing Clean Architecture based on a code structure, not just discipline or code reviews.
Read moreWhen projects fail for reasons that are primary technical, the reason is often uncontrolled complexity. The complexity goes out of hand when the code lacks structure, when it lacks Clean Architecture. In this session I will show how we can achieve consistency through structure
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Have you ever worked on a state of the art programming project? And then a new requirement arrives, it's implemented and suddenly you're working on a legacy project?
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You might remember that I am running this blog on Ghost self hosted on Azure. I wrote about how I've migrated from Wordpress in an older post. Now, I migrated to Ghost 1.x, and in the process I configured a better dev environment for my theme and auto deployment to an App Service from GitHub
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This is the last post from the series on how we could implement a design that allows to decide only at deploy time how two services communicate: in process if they are deployed on the same server or inter-process if they are on different machines. The first post shows where
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This post continues the previous by giving an example on how we could implement a design that allows to decide only at deploy time how services communicate: in process if they are deployed on the same server or inter-process if they are on different machines. If you haven't
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After a long vacation in October last year, followed by some intensive work at MIRA and InfiniSwiss, now I can make some time to share some more design ideas that I have implemented along the years. I thought to resume blogging with showing how we could design for something which
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AppBoot is a generic .NET application bootstrapper, we at iQuarc, have put on GitHub a while ago. It started few years back when we were about to begin developing a large enterprise application. Back then, we wanted to use the Unity Container for dependency injection, but we liked the way
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A few posts back I wrote about the benefits of having a well encapsulated data access implementation. One of the benefits outlined there was the advantage it may bring when we need to implement row-level authorization at the data access level. In this post, I will detail this implementation on
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This is the last part of the "Data Isolation and Sharing in a Multitenant System" article, which is also a continuation of my post that outlines the benefits of a well encapsulated data access. In this post, we'll look in detail at the implementation of the
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