Author: szabolcs
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Rethinking how we build: From specialists to iterative teams
For decades, building technology was expensive and slow. If you wanted a good looking, high quality product that scaled, you needed senior architects, dedicated designers, and niche engineers. I remember a few years back, before today’s wave of powerful AI tools, I worked on a project with a complex calculation backend in a very niche…
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AI systems aren’t web apps – A LegalTech case study
Working on a legaltech AI project has been eye-opening. Even after building web applications and working on other AI-related projects, this one has reminded me just how different AI systems are from “traditional” web software. In traditional web apps, things are predictable. Request–response calls, short latencies, and standard scaling patterns. You can usually estimate load,…
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Jumpstarting a stalled project in an afternoon
A few weeks ago, I walked into a project that was going nowhere. It was a complex setup with multiple applications. The Jira board was a mess, the team was lost, and deadlines were slipping by unnoticed. The moment I knew something was seriously wrong? I saw a ticket in one of the apps titled…
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The silent killer: Undermanagement
Everyone’s talking about AI these days. Where it’s headed, what jobs it might replace, how it’s going to change everything. We’re busy predicting the future, but we forget the one thing that decides whether projects work today: good project management. Clear scope, realistic budgets, the right team size, refining the vision, spotting risks early. This…