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Building with LLMs is nothing like traditional software. If we want something that actually works in production, we have to test it, monitor it, and keep iterating on real customer data.

Until now, AI could only advise and plan, never act. But MCP is finally letting it bridge the gap between thinking and doing.

Building an app with AI feels easy - until real users arrive. I shipped an MVP in 6 days using Claude Code, but "clean" AI code hid major performance pitfalls. From N+1 queries to broken responsive design, this is why a decade of engineering experience remains the ultimate superpower when building with AI.

Infobip Shift 2026 is heading to Zadar! Join us September 13-15, 2026, at Kresimir Cosic Hall - and yes, the call for speakers is officially open.

We’re writing more code than ever thanks to AI - but remembering how it all works a year later is quickly becoming the real hard problem.

Traditional software obeys rules. Agentic, probabilistic software… well, it negotiates them.

To get the full power of a Deployment Pipeline, you need more than tools - you need practices that let it shine and reveal both your strengths and your weaknesses.

17 countries, 20 hours, and a lot of voice-driven experiments: Warsaw became a playground for builders testing the limits of AI, gaming, and storytelling at the Project Europe x ElevenLabs hackathon

If you heard a strange buzzing over Zagreb last week in November, don’t worry - that was just 80 developers trying to outsmart the internet at the SheepAI hackathon.