Mozilla says Anthropic's unreleased Claude Mythos AI found security flaws that automated testing systems missed for years.
In March 2026, someone hijacked a maintainer account for Axios, a JavaScript HTTP library downloaded more than 45 million ...
Anthropic’s new Mythos model is changing how companies approach cybersecurity, with early results showing a sharp improvement in detecting software vulnerabilities. When the model was introduced in ...
Over the last few weeks, social media has been filled with complaints about Anthropic's Claude Code feeling slower and dumber, which was evident in the coding quality and the increased memory issues.
Output rose sharply: Faros found that higher AI adoption was associated with a 34% increase in task completion per developer and a 66% increase in epics completed per developer. Quality and review ...
Proof-of-concept exploit code has been published for a critical remote code execution flaw in protobuf.js, a widely used JavaScript implementation of Google's Protocol Buffers. The tool is highly ...
Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. AI ...
Claude Code users have been flooding GitHub and Reddit over the last few days with complaints that their usage limits are being exhausted at a suspiciously fast rate, with many reporting that sessions ...
GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...
AI is proving better than expected at finding old, obscure bugs. Unfortunately, AI is also good at finding bugs for hackers to exploit. In short, AI still isn't ready to replace programmers or ...
Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...
When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...