In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.

Andrej Karpathy’s weekend “vibe code” LLM Council project shows how a simple multi‑model AI hack can become a blueprint for ...

We're living through one of the strangest inversions in software engineering history. For decades, the goal was determinism; building systems that behave the same way every time. Now we're layering ...

A Russian-linked campaign delivers the StealC V2 information stealer malware through malicious Blender files uploaded to 3D ...

Innovative Cloudflare Workflows now supports both TypeScript and Python, enabling developers to orchestrate complex ...

KiCad deals with PCB layout. Hence, each frame of the game is rendered as copper traces, with PCB components replacing game ...

Passwork 7 unifies enterprise password and secrets management in a self-hosted platform. Organizations can automate credential workflows and test the full system with a free trial and up to 50% Black ...

Zed was designed from the ground up for machine-native speed and collaboration. Let’s take a look at the newest IDE and text ...

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to ...

Learn Gemini 3 setup in minutes. Test in AI Studio, connect the API, run Python code, and explore image, video, and agentic ...

Models trained to cheat at coding tasks developed a propensity to plan and carry out malicious activities, such as hacking a customer database.