Agent Habitat Architecture
A proposed security architecture and maturity scale for agent habitats, covering identity, execution, permissions, data flows, approvals, and recovery.
AI Articles
ViBench 2.0: A Benchmark for Long-Horizon Software Building
ViBench 2.0 tests whether AI agents can build a whole product one feature at a time. It joins the Specialized Intelligence Index from Fireworks.
AI adoption starts with truth
AI adoption is limited by trust. A user who gets burned by a confidently wrong answer will double-check the next one, eventually routing consequential work around the system entirely. Once that happens, AI remains a tool at the edges rather than infrastructure at the center… useful, but never trusted with the workflows where its value compounds. Before a company can benefit from more capable agents, those agents need a reliable way to know what the company considers true.
How Replit makes sense of code at scale
For any company making creative tools, being able to tell what its most engaged users are building on the platform is critical. When the bound of what’s possible to create is effectively limitless, like with code, sophisticated data is needed to answer this deceivingly simple question. For this reason, at Replit we built an infrastructure that leverages some of the richest coding data in the industry.
How to train your own Large Language Models
Learn how Replit trains Large Language Models (LLMs) using Databricks, Hugging Face, and MosaicML
Replit x Weights & Biases Machine Learning Hackathon Winners
Replit x Weights & Biases Machine Learning Hackathon Winners
Apply for Replit’s first Machine Learning Hackathon
Apply for Replit’s first Machine Learning Hackathon
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