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.