2 papers
cs.CR2026
APPA: Recoverable Information-Flow Control for Real-World LLM Agents
Arseny Kravchenko, Vadim Liventsev, Innokentii Konstantinov +2
LLM agents deployed in practical workflows routinely mix private context, untrusted tool and web outputs, and external side effects. While information-flow control (IFC) provides s…
cs.AI2026
app.build: A Production Framework for Scaling Agentic Prompt-to-App Generation with Environment Scaffolding
Evgenii Kniazev, Arseny Kravchenko, Igor Rekun +5
We present app.build (https://github.com/neondatabase/appdotbuild-agent), an open-source framework that improves LLM-based application generation through systematic validation and…