AI Is Quietly Making Us More Separated
I’ve been thinking about something lately. A few years ago, whenever I had a question, I usually knew who to ask. If I had a car problem, I’d call a friend who knew cars. If I needed help with taxes,…
Arttu Pakarinen
Your Tech Stack Is Not Your Competitive Advantage
The Best Technology Starts With the Customer Technology teams love technology. We like discussing architecture, comparing frameworks, testing new tools and debating which trend will change everything next. These discussions can be useful, but they can also become a comfortable…
Autonomous Development Is Changing QA. We Need to Shift Up.
In my previous post, I described an experiment where Jira became the single source of truth and AI agents handled large parts of the testing and development workflow. The interesting part wasn’t that AI could generate tests. The interesting part…
Building an AI-Driven Testing Pipeline (MVP): Using Jira as the Source of Truth
Introduction: Why I Started Experimenting with AI in Testing Over the past year, there’s been a lot of noise around AI in software development especially in testing. Tools promise autonomous QA, self-healing tests, and intelligent pipelines. But in reality, most…
Building a Time-Sensitive Pool Betting Automation Project in Python: From Data Collection to ML and Execution
Introduction If you’ve ever tried to place pool bets manually right before a race or match starts, you already know the pain: odds move, schedules shift, and your decision window is tiny. Even if your logic is solid, timing can…
Organizing Testing in a Modern Dev Team: A Practical “Shift-Left” Playbook
High-performing teams don’t bolt testing on at the end, they weave it into the fabric of daily development. This blog post outlines a pretty basic practical, end‑to‑end model for organizing testing around your development workflow, grounded in Shift Left Testing principles. You’ll see how…