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Hackers slipped a trojan into the code library behind most of the internet. Your team is probably affected
Attackers stole a long-lived npm access token belonging to the lead maintainer of axios, the most popular HTTP client library in JavaScript, and used it to publish two poisoned versions that install a cross-platform remote access trojan. The malicious releases target macOS, Windows, and Linux.
Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases
Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up dynamic execution sandboxes for every repository, which are expensive and computationally heavy.
OpenClaw has 500,000 instances and no enterprise kill switch
“Your AI. It’s my AI now.
Slack adds 30 AI features to Slackbot, its most ambitious update since the Salesforce acquisition
Slack today announced more than 30 new capabilities for Slackbot, its AI-powered personal agent, in what amounts to the most sweeping overhaul of the workplace messaging platform since Salesforce acquired it for $27. 7 billion in 2021.
Claude Code's source code appears to have leaked: here's what we know
Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude Code, to the public. A 59.
Imagine if your Teams or Slack messages automatically turned into secure context for your AI agents — PromptQL built it
For the modern enterprise, the digital workspace risks descending into "coordination theater," in which teams spend more time discussing work than executing it. While traditional tools like Slack or Teams excel at rapid communication, they have structurally failed to serve as a reliable foundation for AI agents, such that a Hacker News thread went viral in February 2026 calling upon OpenAI to build its own version of Slack to help empower AI agents, amassing 327 comments.
Shifting to AI model customization is an architectural imperative
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains.
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