Inside Replit’s New Sandbox Engine, Part 1: The Path to MicroVMs
How Replit rebuilt its sandbox engine with microVMs for stronger isolation, bottomless storage, and fast startup across hundreds of millions of projects.
Agent Habitat Architecture
A proposed security architecture and maturity scale for agent habitats, covering identity, execution, permissions, data flows, approvals, and recovery.
Security advisory: Make managed cloud environments the default for AI agents
Why autonomous AI agents need dedicated, organization-controlled environments with independently enforced security boundaries.
Agent Habitat Architecture
A proposed security architecture and maturity scale for agent habitats, covering identity, execution, permissions, data flows, approvals, and recovery.
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.
Free the models: Harness design at the frontier
Model routers are everywhere right now, but they have a fundamental limitation. No matter if based on advanced heuristics or a small model that reads each turn and picks which LLM to use, a router will always be less capable than the model it’s choosing for. Replit Agent lets the model decide instead.
AI adoption starts with truth
Giving agents access to company data is only the start. Why trustworthy answers also need shared definitions, clear ownership, and evidence people can check.
Closing the loop: Evaluating and improving Replit Agent at scale
A benchmark score can’t tell the whole story. How we combine app testing, A/B experiments, and failure analysis to make Replit Agent better.
We Built a Video Rendering Engine by Lying to the Browser About What Time It Is
How Replit turns any web page into a deterministic video by virtualizing time itself, patching key browser audio APIs, and waging war against headless Chrome's quirks.
Decision-Time Guidance: Keeping Replit Agent Reliable
Replit Agent stays reliable through decision-time guidance—injecting situational instructions at key moments rather than front-loading all rules.
![Cover artwork for the article “How Replit Secures AI-Generated Code [white paper]”.](https://cdn.replit.com/engineering-blog/v1/images/795091fa15707937848fcd8cb13ac016459b4911543e3457d14280dee377c800.webp)
How Replit Secures AI-Generated Code
AI security scans alone aren't enough. New research shows hybrid approaches combining static analysis with LLM reasoning are essential for vibe coding.
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