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AI will happily dive in and try to do everything you ask - but just like a mischievous dog, it sometimes gets it spectacularly wrong, warned Atlassian’s Dugald Morrow.

Developers still have agency, but now they also have smarter tools. The question is: are they using them wisely?

As AI coding assistants level up from autocomplete to autonomous, the real challenge isn’t what they can do - it’s how we use them wisely.

It’s no longer about fixing syntax errors - it’s about figuring out why a billion-parameter model did something totally unexpected.

It’s Halloween. Want to read a horror story? This one’s set in a data center.

After months of work, your AI agent can run tasks, create content, even make decisions. Exciting - but how do you use it safely and effectively in the real world?

AI moves faster than your last commit - and so do hackers. Security can’t be an afterthought; it has to run alongside your code, like invisible, always-on seatbelts keeping users safe.

Managing Python dependencies has always been a pain point - from slow installs to version mismatches across projects. uv aims to fix that.

AI isn’t just here to assist - it can actually run your business like a boss while you sip your coffee.

For the first time ever, the Shift Conference is coming to Asia, landing in Kuala Lumpur in November 2025 - with a full focus on Copilots, Agents, and LLMs.

Every team needs a hero, especially when support pings, bugs, and tech debt all strike at once.

What if your AI assistant could juggle flights, messages, and security checks all at once? Filip Srnec showed it’s possible.

Meet AgentKit, OpenAI’s drag-and-drop playground that handles all the boring LLM wiring for you.