Pragmatic Marketing Performance Indicators for B2B Tech Systems
A guide for tech leaders on marketing performance indicators that drive business value. Learn to move beyond vanity metrics and measure what truly matters.
Read more →
Blog
Insights, tutorials, and updates about technology, software development, and digital transformation.
A Pragmatic Guide to the Data Management Platform
A pragmatic guide to the data management platform (DMP). Understand its architecture, use cases, and how to choose the right one for your B2B needs.
Read more →
A Pragmatic Guide to Artificial Intelligence IoT (AIoT) Systems
Build reliable Artificial Intelligence IoT systems. This guide covers AIoT architecture, risk mitigation, and scaling for B2B applications.
Read more →
A CTO's Guide to Implementing AI in Retail Systems
A CTO's guide to implementing AI in retail. Learn to build AI-driven personalization and operations with practical architectural patterns and ROI strategies.
Read more →
Factory Pattern Design: A Guide to Decoupled Object Creation
Discover factory pattern design to decouple object creation, improve maintainability, and build scalable, extensible software systems.
Read more →
A Pragmatic Guide to the EU Data Governance Act for Technical Leaders
Understand the data governance act and how it shapes compliance, data sharing, and architecture for B2B software teams.
Read more →
A Pragmatic Guide to Article 14 GDPR for Software Systems
A pragmatic B2B guide to Article 14 GDPR. Learn the technical requirements for indirectly collected data and how to implement compliance in software systems.
Read more →
The V-Model in Software Development: A Pragmatic Guide for Critical Systems
Learn the software development v model, a disciplined framework for high-stakes projects, with its phases, benefits, and ideal use cases.
Read more →What you’ll find here
What you’ll find here
This blog is where we share how we approach software work in practice—from the first discovery session to a production release and continuous improvement. It’s not a feed of announcements: we aim for actionable notes, clear explanations, and reusable mental models. If you’re building a product, modernizing a legacy stack, or evaluating “build vs buy”, our goal is to help you make better decisions, avoid hidden costs, and ship with confidence.
Topics include web and backend engineering, API integrations, automation, quality (testing, CI/CD, observability), security, and privacy (GDPR). When we talk about AI, we keep it grounded: define the job-to-be-done, measure value, implement guardrails, and make risk visible. If you’re working on AI features, you may also like our AI Risk & Privacy Checklist.
Who it’s for
Founders, product owners, and engineering teams who need clarity: what to prioritize, how to validate assumptions, how to manage complexity, and what “good” looks like when you’re choosing architecture or a vendor.
How to use it
Each article answers a real question and ends with practical takeaways you can apply immediately. If you want to discuss your context, feel free to reach out.
Recurring themes
- Architecture: evolvable choices that keep options open.
- Quality: tests, reviews, CI/CD and sustainable delivery.
- Responsible AI: privacy, logging, policy checks, and governance.
- Outcomes: small releases, fast feedback, measurable impact.
Quick FAQ
How often do you publish? We prefer usefulness over cadence—new posts appear when we have something genuinely valuable (a pattern, a checklist, a guide).
Can I suggest a topic? Yes. Tell us what you’re trying to achieve and what constraints you have. We’ll either turn it into a post or answer you directly.
Want to explore what we’re building? Visit Projects for products, experiments, and active initiatives.