DeliveryArchitecture
A collection of 2 posts
Why Design Upfront Reduces Cost and Increases Predictability
Skipping design may speed up the start of a project, but it often increases long-term cost, complexity, and delivery risk. Real examples from insurance, energy, and logistics systems show why good Code Design, decomposition, and AI-aware architecture are critical for predictability and efficiency.
Code Design for Predictability: Why You Should Hide the Frameworks
Learn how hiding frameworks behind structured infrastructure improves code design, controls complexity, increases predictability, and creates better guardrails for scalable systems and Agentic AI.
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.
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.
