That number is expected to rise to 65% within two years. Yet 96% of developers, according to this Sonar research, say they don’t fully trust AI-generated code.
With AI building features, teams must shift from doing tasks to orchestrating them - PMs guide intent, engineers oversee systems, designers review output live, and QA builds self-healing processes.
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.
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.
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.
As Tejas Kumar explains, AI isn’t about the tools themselves - it’s about reclaiming time, boosting creativity, and using what’s already at your fingertips in clever, unexpected ways.
AI agents are rewriting the rules of the web, and Mozilla and Cloudflare warn that the agentic web threatens publishers, privacy, and the future internet economy.