by Rounak Bende | Oct 21, 2026 | AI, Developer Productivity
Coding agents promise to revolutionize software development, but how do we know if they’re any good at the kind of work enterprise teams do every day? SWE-bench, a benchmark for evaluating large language models (LLMs) on real-world software issues, established...
by Michael Peters | Aug 26, 2026 | AI, Trust
A primary reason many AI pilot projects fail to reach production is lack of confidence in the security of the systems. One of the most common and pernicious security issues affecting generative AI (GenAI) systems is the prompt injection attack—now listed by OWSAP as...
by Lee Juliette Yamin Cohen | Aug 20, 2026 | AI
In multi-agent systems, agents delegate work based on capability declarations. When agents chain autonomously, each routing decision relies entirely on what the target agent claims about itself. But what happens if those declarations are inaccurate? An agent can...
by Kevin Cogan, Dean Kelly, Sachin Sampras M | Aug 7, 2026 | AI, Trust
When an AI agent introduces itself to another agent, it hands over a digital identity document called an agent card. Our previous post, “Who’s really calling? Securing agent-to-agent communication,” discussed whether that card is authentic at...
by Shrey Anand, Eoghan O'Connor, Anamika Valappil | Jul 28, 2026 | AI
As AI workflows and agents become more capable, the skills they rely on matter more than ever. Most teams start building AI agent skills organically—a script here, a prompt there—and that’s a natural way to get going. But as the number of skills grows, so...
