Anthropic's Claude Code /goals adds a native evaluator model that checks task completion after every agent step, ending ...

What if the key to solving your most complex coding challenges wasn’t just thinking harder, but thinking differently? Traditional approaches to problem-solving in AI, like Claude Code’s ultrathink ...

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Give a top AI agent two hours and a well-defined coding problem, and it will match or beat a skilled human engineer. Give that same agent an eight-hour research challenge, and the human pulls ahead.

As artificial intelligence continues to reshape industries, one of the most significant innovations in the software world is the rise of coding agents. They are reshaping how code is written, tested ...

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As AI continues to change industries around the world, one Chinese technology has established itself as an essential piece to ...

Software development is experiencing its most consequential architectural shift since the emergence of open-source ecosystems and cloud-native computing. Generative AI has rapidly transitioned from an ...

Large language models (LLMs) and AI agents aren’t important to software engineering because they can write code at superhuman speeds. Without the right guardrails, as I’ve highlighted, that speed ...

Treat your AI agent like a smart but inexperienced junior dev: Pair with them, teach them your systems and don't give them root access until they earn it.