31 stories
When anyone in an organization can put AI to work on the problems they know best, the way the organization operates starts to change. Designers turn ideas into working software that engineers can review and build on. HR builds its own onboarding tools.
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.
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.
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.
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.
AI models are now capable and affordable enough to make once-unreachable outcomes practical. The opportunity for everyone to pursue and collaborate on ambitious ideas, spend less time on busywork, and raise the quality and creative output across disciplines is nearly here. The possibility is here.
Replit enables you to build apps to create and launch apps that hold real customer data within a day. Before coding agents, a full pre-launch security review required procuring a pen test from a vendor that would cost thousands, and weeks of back-and-forth.
New Admin API, Audit Logs, and Workspace Settings give organizations more insight and flexibility into how they adopt AI with Replit. Replit helps teams turn ideas into working software quickly. Most companies start with a handful of builders and a few prototypes.
The semantic layer is the foundation 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.
A new creative class is rising: people who see an idea in their mind and refuse to wait to make it. Today, we’re launching Replit Design, a new creative suite where anyone can shape what they see as fast as they can think it. Replit Design is the fastest way to go from idea to design.
In the past six months, engineers at Replit have nearly tripled code output. Review times held steady. Reversions and product incidents have stayed flat. Quality metrics improved, and releases have accelerated. All the typical trade-offs you might expect have not occurred.
Most Replit Agent users start with an idea. They describe the goal in natural language — without a repo, test suite, or chosen framework — and expect the agent to turn it into a functioning app.
The industrial space on the Lower East Side was completely transformed. Raw concrete and exposed beams were saturated with vibrant color and pulsing lights, while deep house grooves thumped through the room.
Replit is now available directly inside Claude, making it easier than ever to go from a conversation to a fully built, shipped product - without losing context, in one seamless workflow.
Every team has conventions. How you structure a project. How you handle secrets. Your design system, your testing standards, your code style. The problem: AI Agents don’t know your conventions.
Today, we're excited to announce two significant updates to the Replit and Databricks integration we launched in February: the user-to-machine (U2M) connector feature is now live, and the integration is now open for public preview sign-up.
Replit already scans your projects for vulnerable dependencies, and audits your dependencies before you publish. But risk shows up earlier than that, while you are developing, the moment a malicious package gets installed.
Starting today, anyone can design and launch a custom Shopify storefront by chatting with the Replit Agent. Describe the store you want, and Agent generates a custom front end, creates a new Shopify store, and adds your products from the same conversation.
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