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So, in 2025, which should you choose: PyTorch for fast-paced AI experimentation or TensorFlow for rock-solid production - and could the real answer be BOTH?

84% of developers now use AI daily - mostly LLMs. They’re great for cutting workloads, but risky in the wrong spots. Here are 5 times AI shines, and 5 times it can totally wreck your work!

'Who could refuse that?' Turns out, almost no one - especially when faced with puppy eyes, heartfelt asks, or a desperate Pikachu. Refusing is hard, and it costs more than we admit.

The first-ever scientific research on procrastination among developers revealed 14 positive and 9 negative effects of delaying work.

Textbooks are great, but let’s be honest - sometimes students need a study buddy with a sense of humor and a knack for explaining photosynthesis. This is where our AI assistant enters the scene.

Yet, 90% of engineering leaders investment in AI tools is their priority.

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.