When a ‘Boring’ Task Turns Into a 10‑Minute Win With AI
Here is the funny part: I sometimes write about AI, I keep up with almost all the updates from major players like OpenAI and Anthropic, yet yesterday I was complaining about a task that was routine and boring but required a meticulous approach.
Yesterday I remembered that I am surrounded by different models and decided to feed this task to GPT o4-mini-high (perfect for careful work and solid analysis). As a result, a task I would normally spend 1–2 days on was done in 10 minutes.
What I personally miss in current programming tools is this: not just systems that analyze your codebase and generate code, but full-fledged agents that are connected to your database, your message queue server, and, say, Stripe and other APIs I use in my projects. It feels like the arrival of such tools is not far off.
More to explore
The Failure of AI Skepticism: Why Manual Coding Is Already the Wrong Layer
In recent months I keep seeing the same pattern: someone posts another example where some "vibe coders" used AI to generate a project, left API keys on the fron…
You Don’t Need a Perfect Modern Stack to Agentize Your SDLC
Continuing the idea from the previous post. Many companies believe that to add agents to their SDLC they first need to completely get rid of legacy, move to mic…
AI in Software Development: What Comes Next?
AI. What’s next? Up until around December, using AI in development basically meant: prompt -> copy some code -> paste -> tweak -> repeat. Now this a…
Startup Taxes Between Estonia and Portugal: A Quick Reality Check
As a tax resident of an EU country who files my own returns, today is my quarterly 'Tax Day'. On this day I set aside a few hours to file social security report…