Microsoft DART uncovers dual threat actors in a single intrusion, revealing how blended tactics conceal attacks and ...
This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...
In the previous session, we used pytest.mark to add attributes to tests, allowing us to select which tests to run, such as with -m unit. Using marks allows for control such as "running only fast tests ...
Gemini 3.5 Flash is shockingly fast at generating code and spinning up agents, but that speed comes at a cost: sloppy ...
An agent harness is the scaffolding that lets an AI model operate autonomously on a real task: run tools, observe results, and loop until the job is done. Unlike a chat interface where you steer every ...
"Separating the agent doing the work from the agent judging it proves to be a strong lever." — Anthropic Engineering, Harness Design for Long-Running Apps A multi-terminal orchestration system that ...
Measures how skill documentation design affects Claude Code's adherence to recommended patterns. tasks/ # Self-contained benchmark tasks ls-lang-tracing/ # Each task has its own directory ...
The SWE-bench [1] evaluation framework has catalyzed the development of multi-agent large language model (LLM) systems for addressing real-world software engineering tasks, with an initial focus on ...
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