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Developers save about 10 hours a week by using AI coding tools, but the productivity gains are then lost to organizational inefficiencies.

Every time a password is typed or a message is sent, the internet asks: ‘Can anyone else see this?’ - and without proper encryption, the answer is usually yes.

The future belongs to those who ship products, not just publish papers.

Software engineers want trust, recognition, and connection.

The battle for the best open LLM just got a new challenger - from OpenAI itself.

When you ask a developer for a quick chats or to do an ad‑hoc task, it's costing teams time and money.

You don’t need 10x engineers. You need a team that ships safely, learns constantly, and doesn’t rely on heroics. Build systems that make that possible.

Sohan Maheshwar breaks down why authorization and developer relations are the real game-changers in today’s tech world.

According to Stack Overflow’s 2025 survey, 84% of developers are using AI tools - but 46% don’t trust the output. It’s a code-and-question dynamic: developers are coding with one hand and second-guessing with the other.

MCP and A2A are making AI development smarter and more scalable by connecting agents and tools easily - shifting the spotlight from prompt engineering to the bigger picture: context engineering.

At this year’s Infobip Shift conference in Zadar, Andy Budd is coming with a message startup founders need to hear: building a great product isn’t enough.

Open source isn’t a free-for-all playground - it’s more like borrowing your neighbor’s lawnmower, but with a rulebook you actually need to read.

Vitaly Friedman shares his no-nonsense take on AI in design - what actually works, what fails, and how to build smarter user experiences in 2025.