Growing use of coding agents and consumption-based pricing models could push per-developer AI spending to unprecedented ...
Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.
ActiveState explains how GitHub Actions attack chains can evade traditional CI security scanners, why passing a scan doesn't ...
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
Alibaba's SkillWeaver framework routes AI agents through massive tool libraries with 99% less token consumption. Here's how ...
Researchers found Cordyceps CI/CD flaws affecting 300+ repositories, enabling code execution, credential theft, and supply ...
The FBI warned that TeamPCP software supply chain attacks targeted developer tools to steal cloud credentials, SSH keys, and ...
Researchers have uncovered a supply-chain attack that hides in Python packages, propagates like a worm, and tricks LLM-based code analysis systems into overlooking malicious payloads. Threat actors ...
Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...
Attackers exploited Langflow vulnerability CVE-2025-3248 to conduct an agentic AI-powered ransomware attack involving reconnaissance, credential theft, and lateral movement.
New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
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