New attack exploits Claude Code to hijack developer machines through poisoned repositories

At an event for pharmaceutical executives, biotech founders, and researchers on Tuesday, Anthropic announced Claude Science, a major new product intended to support scientific research in the same way that Claude Code supports software engineering. Like Claude Code, Claude Science can autonomously carry out meaningful work when given concise, high-level instructions, and it has access…

Jason Bakke, director at Chaedrol, explains why organizations should treat IT as human-capital infrastructure.

The allegations against Anthropic could exacerbate tensions in global tech relations, highlighting privacy concerns and geopolitical tech rivalries. The post Anthropic accused of embedding hidden spyware in Claude Code targeting Chinese users appeared first on Crypto Briefing.

The practice of tokenmaxxing appears to be dying out, even before I had a chance to write about it. Good riddance. Burning tokens to create the appearance of productivity was fated to last only until the accountants learned about it, and the strictest of all accountants is one’s personal checkbook. What got many developers thinking […]

X has launched a hosted MCP server, making it easier for developers to connect AI applications with the company’s API.

When Jaiveer Singh talks about robots, he doesn’t begin with spectacle. He begins with infrastructure: the boards inside machines, the software that lets developers see through a robot’s cameras and the engineering required before a robot can leave a demo floor to do something useful. As a robotics software engineer who leads the team behind […]

Whether you are using an AI code generator, vibe coding, or applying spec-driven development methodologies, your job doesn’t end with AI writing the code. Whether you’re using AI to develop applications, APIs, data pipelines, AI agents, or other automations, writing the code is just one part of the job. Developers must still perform code validation, test applications, automate deployment, and configure infrastructure. According to one survey, only 16% of a developer’s time is spent writing code. The remaining 84% is spent on other activities including defining requirements, triaging bugs, and addressing vulnerabilities. Additionally, while AI code generation speeds up development, it can come at the cost of quality and collaboration. In Atlassian’s State of Teams 2026 survey, nearly 50% of respondents say their AI outputs aren’t reliably high quality and admit that using AI is a compromise between speed and quality. Knowledge workers say the pressure to execute is also problematic, wit

A new model built by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.