This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which means you do not need to add additional tools to your LLM environment.

Or, why the software supply chain should be treated as critical infrastructure with guardrails built in at every layer.

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

Preview of new companion app allows developers to run multiple agent sessions in parallel across multiple repos and iterate ...

Better way to master Python.

Unsafe defaults in MCP configurations open servers to possible remote code execution, according to security researchers who ...

A design flaw – or expected behavior based on a bad design choice, depending on who is telling the story – baked into ...

Would you like a closer look at Claude? Someone at Anthropic has some explaining to do, as the official npm package for ...

How AI has suddenly become much more useful to open-source developers ...

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...

It’s always nice to simulate a project before soldering a board together. Tools like QUCS run locally and work quite well for ...

A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while reducing reliance on costly execution environments.