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Wed, Sep 10, 2025 • Featured

Introducing Agent 3: Our Most Autonomous Agent Yet

We’re excited to introduce Agent 3—our most advanced and autonomous Agent yet. Compared to Agent V2, it is a major leap forward. It is 10x more autonomous, with the ability to periodically test your app in the browser and automatically fix issues using our proprietary testing system—3x faster and 10x more cost-effective than Computer Use models. Even better, Agent 3 can now generate other agents and automations to streamline your workflows. What’s New 1. App Testing: Agent tests the apps it builds (using an actual browser) Agent 3 now tests and fixes the app it is building, constantly improving your app behind the scenes. We are launching two different options here, depending on your needs:

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  • Mon, Oct 9, 2023

    Announcing Replit AI for All

    For every human endeavor, there inevitably arrives a moment when an innovation profoundly elevates the potential for productivity. For instance, communication was revolutionized by the invention of the printing press, and later, the Internet. After decades of steady progress, software is witnessing its disruption phase as well -- AI is redefining the whole software development lifecycle. AI is one of the key ingredients to go from idea to software, fast -- we witnessed this from over a year of experience in pioneering Ghostwriter Autocomplete and Chat. At Replit, we are on a mission to empower the next billion software creators. Over time, we gained full conviction that such a mission can’t be accomplished without putting our AI features in the hands of every Replit developer. Today, we’re making Replit AI available for everyone. Code completion and AI code assistance are now enabled by default, and available to 23M developers (and counting). Developers on the free plan will have access to our basic AI features, while Pro users will retain exclusive access to the most powerful AI models and advanced features. This was no easy feat, and required not only all our expertise in scaling distributed systems, but also training low-latency LLMs to serve Replit’s compute-heavy AI workloads. Emboldened by the strong performance we obtained with training and serving replit-code-v1-3b, today we are also releasing replit-code-v1.5-3b, a state-of-the-art 3B LLM trained on 1T tokens from a code-heavy pretraining mixture. The dataset includes 30 programming languages and a dev-oriented subset of StackExchange. We will gradually roll out our new code LLM in the next few days, making code completion on the Replit AI code editor even more powerful. Our roadmap for the near future can be summarized in one sentence: AI will redefine every single Replit feature. It won’t be necessary to mention that AI plays a fundamental role every time software is being edited or deployed -- soon we will take it for granted.

  • Wed, Sep 27, 2023

    Replit Core: Go from idea to software, fast

    The Replit Core subscription is the best developer tool subscription in the market to go idea to software, fast. And it is the most valuable. A similar dev environment can cost up to 10x more on GitHub Codespaces, and a high usage app will get crushed with overages 3-4x more expensive on Vercel (source). This end-to-end offering makes Replit Core the best subscription to build and launch your business. HeyDATA.org has gone from first line to +$200k ARR, and as founder, Steve Moraco says: "I don't think I would ever be able to complete a project like this without Replit. I started not knowing anything about web development, or even GitHub for that matter, and I've sort of just learned one skill at a time. I’ve gone from knowing almost nothing about technical development, to building a business and earning money" - Steve Moraco The Core bundle includes: 8 GiB RAM & 4 vCPU cloud-based development environment with no limits on usage, giving a powerful building experience Replit AI, powered by market-leading models (currently GPT-4). Debug, autocomplete, and turn natural language into code with one-click.

  • Tue, Sep 5, 2023

    Announcing Autoscale and Static Deployments

    Today, we are announcing our biggest release yet. Scalable hosting infrastructure directly from the editor. This release transforms Replit into an end-to-end platform to go from idea to production for your next project or startup. Two new products are immediately available to all Hacker and Pro subscribers: Autoscale Deployments - Infrastructure that scales up when your app goes viral and scales down when your app goes unused. Only pay for the resources you use. Static Deployments - Free option to host client-side sites like blogs and websites. Best of all, it's directly from the editor. Deploy to scalable infrastructure directly from the place you build. No additional vendors. Just Replit.

  • Tue, Sep 5, 2023

    Speeding up Deployments with Lazy Image Streaming

    Replit Deployments is our new offering that allows you to quickly go from idea, to code, to production. To make the experience as seamless as possible, we built tooling to convert a Repl into a container imager which can be deployed to either a Google Cloud Virtual Machine or to Cloud Run. Early on, we started to hit some issues with large images taking too long to deploy to a virtual machine. It could take minutes to pull and unpack the container image before it could be started. There’s two angles of attack: reduce the image size or speed up the pulling of images. It's preferable to shrink the container image size; however, that is not always possible. In this post we’ll go into some of the technologies and approaches used to speed up image pulling/booting. What is a container image? First, we’ll need to establish some baseline knowledge around container images. If you already know the details, you can skip this section. At a high level, a container image provides both a root filesystem and configuration for running a containerized workload. Inside the container, the filesystem is mounted to the root directory /. The root filesystem is stored as a list of multiple compressed tarballs, called layers, which are overlaid on top of each other. That is, if two layers have the same file, layers later in the list have higher precedence and their files replace the files from lower layers.

  • Thu, Jul 13, 2023

    State of AI Development: 34x growth in AI projects, OpenAI's dominance, the rise of open-source, and more

    With the introduction of Large Language Models (LLMs), for the first time, Machine Learning (ML) and Artificial Intelligence (AI) became accessible to everyday developers. Apps that feel magical, even software that was practically impossible to build by big technology companies with billions in R&D spend, suddenly became not only possibly, but a joy to build and share. The surge in building with AI started in 2021, grew rapidly in 2022, and exploded in the first half of 2023. The speed of development has increased with more LLM providers (e.g., Google, OpenAI, Cohere, Anthropic) and developer tools (e.g., ChromaDB, LangChain). In parallel, natural language interfaces to generate code have made building accessible to more people than ever. Throughout this boom Replit has grown to become the central platform for AI development. Tools like ChatGPT can generate code, but creators still need infrastructure to run it. On Replit, you can create a development environment (Repl) in seconds in any language or framework which comes with an active Linux container on Google Cloud, an editor complete with the necessary tools to start building, including a customizable Workspace, extensions, and Ghostwriter: an AI pair programmer that has project context and can actively help developers debug. Deployments allowed developers to ship their apps in secure and scalable cloud environments. Given our central role in the AI wave, we wanted to share some stats with the community on the state of AI development. Building with AI Since Q4 of 2022, we have seen an explosion in AI projects. At the end of Q2 ‘23, there were almost 300,000 distinct projects that were AI related. By contrast, a search of GitHub shows only ~33k OpenAI repositories over the same time period.

  • Thu, Jun 29, 2023

    Empowering Educators with MagicSchool and Replit Deployments

    Replit is where builders come to bring their software and app ideas to life, fast. We’re showcasing builders and the software they created and deployed on Replit. If you interested in being showcased, click the button below.

  • Sat, Jun 24, 2023

    The Journey To Code Search

    Finding that one comment, class, or function in your codebase is important. You might not always know where to look... which is why we created a brand new Code Search tool! From simple queries to regular expressions it has never been easier to get work done on Replit. The new Code Search tool supports queries with word filters, regular expressions, include patterns, exclude patterns, as well as replacements (with regular expression capture group support) so that you can find what you need and make refactors on larger codebases quickly and efficiently. Try it out now on Replit! But don't forget to come back to this post so we can bring you on our Journey to Code Search. How It All Started

  • Sat, Jun 24, 2023

    Internship Experience At Replit

    Hey! I'm Nathan. It's been a short but exciting few months at Replit, and I wanted to share my experience with you all. The Journey Begins I started programming back in 2018. Since then, I’ve met fantastic people, learned new stuff, and made a lot of wacky projects. What I did not expect was a technical recruiter to reach out to me through Twitter.

  • Tue, Jun 6, 2023

    Revolutionizing Language Learning with Replit Deployments

    Replit is where builders come to bring their software and app ideas to life, fast. We’re showcasing builders and the software they created and deployed on Replit.

  • Mon, Jun 5, 2023

    Replit AI Manifesto

    Amjad Masad, CEO: I'm excited to welcome Michele Catasta to the Replit team as our VP of AI. Michele joins us from Google, where he was Head of Applied Research at Google Labs and, before that, Google X, where he researched Large Language Models applied to code. Michele has a Ph.D. in Computer Science and was Research Scientist and Instructor in AI at Stanford University. This manifesto is a culmination of a conversation Michele and I have had for over a year on the future of AI and its impact on the software industry: “People who are really serious about software should make their own hardware.” [1982] More than 40 years later, Alan Kay’s quote still sounds as relevant as it gets – no wonder he is recognized as one of the most influential pioneers of our industry. As a matter of fact, over the past few decades software and hardware worked in conjunction to dramatically augment human intelligence. Steve Jobs celebrated Alan’s quote in his famous 2007 keynote, right after launching the very first iPhone – possibly one of Steve’s mottos, considering how Apple built its reputation and massive success story on unprecedented software/hardware integration. At Replit, our mission is to empower the next billion software creators. Our users build software collaboratively with the power of AI, on any device, without spending a second on setup. We accomplished that by creating from the ground up a delightful developer experience. The Replit development environment allows our users to focus solely on writing software, while most of the hardware (and Cloud computing) complexities are carefully hidden away.

  • Wed, May 31, 2023

    Replit Builders Series - NodePad: From Idea to MVP with Replit Deployments

    Replit is where builders come to bring their software and app ideas to life, fast. We’re showcasing builders and software they created and deployed on Replit. NodePad is a platform for idea exploration driven by AI. NodePad founder Saleh Kayyali went from designer to consumer app founder. The app he built and deployed end to end on Replit has thousands of users and slick UI. It shot to #5 on HackerNews, and yet he’s never been paid to develop software before. How?

  • Fri, May 5, 2023

    Replit Bounties: AI-Powered Real Estate Recommendation Webapp

    Problem Statement Christo Hefer is Founder and COO at Symplete, a real estate technology platform for agents to handle marketing and sales and help agents select the best purchase agreements for their listings. He wanted to create a prototype where a residential purchase agreement could be uploaded in PDF format and analyzed using OpenAI’s GPT-3 API. Based on 15-20 different fields as inputs, the best purchase agreement should be recommended to the agent. Building the Prototype To do this, the Bounty Hunter Syed (Repit username: cudanexus) used a Python Library to read the residential agreement PDF before sending it to GPT-3 to analyze. After that, he used the GPT-3 API to analyze the document and present the real estate agent with the optimal agreement for their listing. The parameters used included the address, price and offer expiry dates amongst others.

  • Mon, May 1, 2023

    Announcing Replit Extensions

    At Developer Day, we revealed our commitment to increasing the extensibility of Replit to better serve the diverse needs of our community of makers and all developers. And today, we’re excited to announce a major milestone in our mission to empower a billion developers: the launch of Replit Extensions. Extending the Replit Environment Makers have an ever-present desire to have control over their tools. This is true in every creative domain, be it software, music, photography, or painting. What makes software unique is that much of the tooling is itself software, and with any mastery of software, you can begin to shape your tools to your needs. Making Replit extensible has been at the top of our minds since the beginning. We've been busy at work—we've iterated on our core primitives, our layout system, refactored our code towards modularity, allowed people to configure their Repls, and even replaced our code editor with one that's far more composable, with extensibility as one of the driving reasons.

  • Sun, Apr 30, 2023

    Replit Bounties: Ship Code in Your Sleep

    "Through Bounties, I was able to get high-quality developers that are able to fulfill a problem statement really fast. Replit’s Bounty Hunters ensure that the client is happy with the end product and have a high quality of work product.. and are interested in making the best versions of the apps possible." @girlbossintech | Software Engineer Introduction @girlbossintech is a software developer and Twitter creator. She wanted to test out an idea for a social polling app, similar to popular polling web apps like Gas App, where users would be served a question and could select an option, which would then take them to the next question. However, being busy with work, she decided to outsource the implementation of this idea. After seeing Replit Bounties on Twitter and receiving a recommendation from a friend, @girlbossintech decided to try it out. Building the Prototype

  • Tue, Apr 25, 2023

    A Recap of Replit Developer Day

    At Developer Day, we announced: Production-grade Deployments straight from your IDE A more powerful Workspace Secure Workspace Extensions Replit’s From-Scratch Trained Code Complete model Production-grade Deployments Straight from your IDE