I asked Claude, ChatGPT, and Gemini to debug a Python error, and the difference was too noticeable to ignore.

Anthropic's Mythos Preview was highly effective at finding vulnerability candidates, especially when analyzing source code.

Use Python to make your data visualizations stand out.

TL;DR  Introduction  At the start of this year, I wrote a blog on how 2025 was the ‘year of the infostealer’, and it doesn’t ...

For a piece of wearable technology, Pebble has had a fairly “rocky” history. One of the most successful Kickstarters of its ...

The round comes just eight months after Supabase closed on its Series E and means it has now raised over $1 billion in total ...

The Agent Governance Toolkit brings runtime policy enforcement to autonomous agents, targeting the OWASP top 10 agent risks.

COVID-era disruption left local gatherings uneven, while funding, burnout and access still test how technologists connect in ...

A so-called software supply chain attack, in which hackers corrupt a legitimate piece of software to hide their own malicious code, was once a relatively rare event but one that haunted the ...

With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with ...

Two local young STEM students recently teamed up to enter the international Biomimicry Youth Design Challenge, researching ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind the AI model to the logic of your app.