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In the age of AI-assisted development, it’s tempting to believe we’re entering a golden era where human effort in programming becomes obsolete.

For AI agents to work for you you have to train them, refine them, and ultimately build a well-orchestrated agent-to-agent system that can deliver real value.

We're all going from being software engineers writing code to model operators—code composers.

Many things can go wrong in human interactions, especially if the interaction involves finding mistakes in one's work. 

Want to avoid late-night panic, endless Slack searches, and heart-stopping alerts when you're on call? Then you need to create GOOD runbooks.

History is the teacher of life. There are those who have been shipping software for decades, and there is much we can learn from them.

Are we still designing interfaces, or are we designing people?

Infobip’s MCP is redefining how AI agents interact with real-world systems - enabling them to take meaningful actions with nothing more than a prompt.

Ever tried turning a perfectly good car into a plane mid-drive? That’s basically what we’re doing to our apps in some meetings.

There are 50% more developers today than there were in 2022, but the number stopped growing in 2025. And they're getting older.

“In the past, some VCs would fund popular open source frameworks that said, “we’ll figure out monetization later. While that’s never been our style, the venture market has changed in the last few years. The capital is not as free-flowing, so I expect founders to be more disciplined and have a plan for revenue earlier”, […]

AI is helping write code and automate tasks, but until it masters true agency (think independent decision-making and goal-setting) it’s still more like a coding assistant than a full-fledged teammate.

Are DBAs the guardians of order or just here to give devs a hard time? Or maybe devs are a little too used to getting their way?