analiza aiqbench
OpenAI's report is a company-reported case study of AI agents building and red-teaming production infrastructure, with figures that aren't independently verified. The more useful detail for readers is the design trade-off: Pando keeps branch updates ordered but doesn't guarantee a consistent point-in-time view across branches. That matters for anyone building agent-driven development pipelines at scale.
OpenAI Builds Pando Git Infrastructure Using AI Agents and Deploys Continuous Security Testing
OpenAI has built Pando, a new Git backend, with Codex agents in just 10 weeks, replacing the system behind its main shared code repository without stopping engineering work. The company says agents now run around the clock to red-team both Git and Pando, testing the software that supports its growing AI-driven development workload. In its […] The post OpenAI Builds Pando Git Infrastructure Using AI Agents and Deploys Continuous Security Testing appeared first on Cyber Security News.
OpenAI has built Pando, a new Git backend, with Codex agents in just 10 weeks, replacing the system behind its main shared code repository without stopping engineering work. The company says agents now run around the clock to red-team both Git and Pando, testing the software that supports its growing AI-driven development workload. In its November 2…
Extras afișat conform termenilor RSS ai publicației · 57 cuvinte · textul integral și figurile sunt pe site-ul publicației
Subiecte conexe
Always-on AI agents turn infrastructure into a continuous learning loop
SiliconANGLE · 1 oct. 2026
NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut
NVIDIA · 16 sept. 2026
LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models
arXiv · 19 aug. 2026
Netskope (NTSK) Q2 2027 Earnings Call Transcript
fool.com · 10 sept. 2026