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AppBoot

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Why Design Upfront Reduces Cost and Increases Predictability

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

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.

Decide between In-Process or Inter-Process Communication at Deploy Time - Part 3

Decide between In-Process or Inter-Process Communication at Deploy Time - Part 3

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

Decide between In-Process or Inter-Process Communication at Deploy Time - Part 2

Decide between In-Process or Inter-Process Communication at Deploy Time - Part 2

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

Decide between In-Process or Inter-Process Communication at Deploy Time

Decide between In-Process or Inter-Process Communication at Deploy Time

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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Why Design Upfront Reduces Cost and Increases Predictability

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

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

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

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

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

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.

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In-company training programs
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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.

App Infrastructure for Clean Architecture Enabling AI Agents
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App Infrastructure for Clean Architecture Enabling AI Agents

2 days workshop

A hands on training that teaches how to design application infrastructure and development processes so AI agents can work safely, predictably, and effectively inside Clean Architecture.
Code Design Practices
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Code Design Practices

2 to 5 days workshop

This training covers a wide range of topics, principles, and best practices for writing maintainable code. Together, these elements teach techniques on how to create a code design that embraces change.