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.
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Learn how hiding frameworks behind structured infrastructure improves code design, controls complexity, increases predictability, and creates better guardrails for scalable systems and Agentic AI.
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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
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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.
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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.
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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.
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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.
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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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