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. The main agent, or core loop, chooses its subagents’ tier and effort, and adjusts its own as the…
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Recent updates from Replit, so you can tell whether this is a one-off or part of a pattern.
Putting business analysis in everyone’s hands
Today, we’re announcing that Replit has acquired Atta, bringing its approach to business analysis and high-quality, purpose-built charting into Replit. Our mission is to make useful intelligence accessible to everyone. For businesses, that means giving the people closest to a problem the ability to investigate it, explain what they find, and act on their expertise. Product leaders understand…
Replit | Databricks Integration is Now Generally Available with Native Lakebase Support
The Replit | Databricks integration gives enterprise teams a faster path to utilizing governed data for production-ready applications. Today, we’re excited to announce the integration is generally available alongside a new capability: native Databricks Lakebase support. This builds on the foundation introduced from our public preview announcement this past June. The result is one seamless path…
Intelligent Model Routing on Replit
You want to bring an idea to life, not compare models. But the best model for the task can change week to week, project to project, task to task. Choosing the right one adds another decision point between your idea and the thing you’re making. Starting today, Intelligent Model Routing is available to everyone on Replit. As each task evolves, we match it with the model best suited to complete it -…
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Scale without limits: Multigres, OrioleDB, and dbarena
The app your agent built in minutes stays on the same Postgres from prototype to petabyte.
Operate with confidence
More data, more tools and more control so your agent has what it needs to observe your project, investigate issues and propose fixes, autonomously.
Build anything: Supabase from code, and an MCP server for your app
Your agent sets up the backend from code, your users' agents work with your app through its own MCP server, and long-running tasks run in Supabase Compute.
RustRover vs VS Code + rust-analyzer: What Changes in Your Rust Workflow
As the team behind a dedicated Rust IDE, we’re naturally curious to see how RustRover stacks up against other popular setups for Rust development and the strengths and trade-offs of each one. This article is the first in a series where we’ll look at different Rust workflows. We’re not unbiased, but we want to give […]