Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses - Nature
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBMQmZFSzVqTzRrZGY5bURTbTRPQm1HNl9BZ0RyWDEyMW5lbzEwaVN5MTdjWk5JNmZpelZWTGVobS1EVF9zTHdpSHlJQ0VvUHlrdzR5eFoxdVd1dkJiaFhJ?oc=5" target="_blank">Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses</a> <font color="#6f6f6f">Nature</font>
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Claude Code hooks: how to intercept every tool call before it runs
<h1> Claude Code hooks: how to intercept every tool call before it runs </h1> <p>One of the most powerful — and least documented — features revealed in the Claude Code source is the <strong>hooks system</strong>. You can intercept every single tool call Claude makes, before it executes.</p> <p>This means you can:</p> <ul> <li>Auto-approve certain commands (no more hitting Enter 40 times)</li> <li>Block dangerous operations entirely</li> <li>Log every file Claude touches</li> <li>Inject context before tool execution</li> </ul> <p>Here's how it works.</p> <h2> The hooks directory </h2> <p>Create a <code>.claude/hooks/</code> directory in your project:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code><span class="nb">mkdir</span> <span class="nt">-p</span>
I Built an AI Agent That Can Write Its Own Tools When It Gets Stuck
<p>Most AI agents are only as capable as the tool list they shipped with.</p> <p>They can browse, click, read files, maybe run some shell commands, maybe call a few prebuilt functions. But once they hit a task their built-in actions don’t cover, they usually stall out. At that point, you either have to add the missing functionality yourself, wire in some external skill system, or accept that the agent has reached the edge of its world.</p> <p>That always felt like a major limitation to me.</p> <p>So I built <strong>GrimmBot</strong>, an open source AI agent that can do something I find much more interesting: when it runs into a capability gap, it can generate a new Python tool for itself, test it, and add it to its own toolkit for future use.</p> <p>That’s the headline feature, but it isn’
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