QA
A collection of 1 post
Code Design for Predictability: Why You Should Hide the Frameworks
Software projects rarely collapse because of lack of talent. They collapse because complexity grows faster than it is controlled. When technical failure happens, the root cause is often unmanaged complexity. You have seen it: - Small changes become expensive. - Adding developers does not increase speed. - Deadlines move again
Designing Resilient Software Systems for the Energy Sector
Resilience is the primary requirement for software systems in the energy sector. These systems support critical operations such as grid balancing, energy trading, risk management, and asset management. Failure is not an option. Energy systems must operate continuously. Orders must always be processed. Data loss is unacceptable. Business processes must
How Delivery Architecture Enables Predictable Software Projects
Learn how to design software projects for predictable delivery using Delivery Architecture. Align Code Design, System Design, and Project Design to control complexity, reduce risk, and deliver on time and on budget.
Coding with Copilot on Top of Application Infrastructure
AI coding works best on top of strong Application Infrastructure. With clear structure, strict boundaries, and consistent design rules, Copilot and AI Agents generate cleaner, more predictable code. Architecture guides the AI, not the other way around.
Integration Gateway for External Systems
An Integration Gateway isolates your system from external changes and failures while standardizing communication. This article explores a Code Design approach using Contract-First Design, Pluggable Applications, and Clean Architecture for reliable and maintainable software integration.
Viewing Software Projects Through an Activities Network
Learn how Activities Network Diagrams improve Project Design and Project Management by clarifying dependencies, reducing cost, and increasing predictability of delivery, budget, and quality in complex software projects.
Drawing from our extensive project experience, we develop training programs that enhance predictability and reduce the cost of change in software projects.
We focus on building the habits that make developers adopt the industry best practices resulting in a flexible code design.
