Retool

The best way to learn AI Assisted development? Just start building. Retool lets you build production-ready software at the speed of conversation while staying in control of your apps and data. At our second AI Build Week, we demonstrated just what you can create with our AppGen Platform. APIs turned into apps, Stripe data becoming a churn dashboard, unwieldy spreadsheets and CSVs transformed into visualizations, Snowflake data vibe coded into customer license trackers, and so much more. As we built apps in real-time, so did your questions. So read on for a quick recap that answers some of your biggest FAQs, including: - How can AI-assisted development help non-technical users build apps? - How much context does Assist have when building and editing apps? - Can I roll back to an earlier version of my app if something breaks? …And so much more https://lnkd.in/e-bHau2g

You don't need full AI autonomy to create value. The best production systems combine agentic workflows, AI agents, and human tasks for incremental gains with less risk.

Move fast, make things. The age of AppGen has redefined who can build software and how quickly it can be done, but guardrails are becoming essential to avoid heading in the wrong direction. https://lnkd.in/eQFH9cS2 There doesn't need to be a trade-off between innovation and security. A prompted AI tool can bring you towards a working prototype, but it doesn't consider the enterprise essentials such as authentication, row-level permissions, or audit trails. Governed platforms such as Retool are bridging the gap between AI code generation and production deployment. When builders can ship secure, production-ready solutions just as quickly as they could prototype insecure ones elsewhere, organizations can move faster without worrying about the future headaches. This is just one of the many insights from our 2025 Builder Report, so give it a read at the link above to learn about the future of work.

How do you move faster with AI without sacrificing security or governance? We’re returning to AWS re:Invent this December to answer one of the biggest questions facing enterprise AI. At companies like Brex and Plaid, business experts are already building AI applications on their existing Amazon Web Services (AWS) data while IT keeps full control. No security holes, no shadow IT, no compromises. Developers and domain experts using Retool shipping production-ready applications with guardrails in place. So stop by Booth #157 during the show to go hands-on with our platform and get your questions answered by our engineering team. Meet us at Databricks booth #1420 on December 2nd at 5:00pm to see how you can build a production-ready finance investigation app on your data in just a few prompts. And get ready to see how Retool can solve some of the toughest challenges in enterprise AI.

Think of queries as the engine behind your Retool applications. They function as the bridge between your UI and data, making your applications more functional and dynamic along the way. So join our Developer Advocate Angelik Laboy Torres for a tutorial on how to: - Connect your data - Power your UI - Build dynamic, data-driven apps with SQL, JavaScript, and event handlers

We surveyed 1,128 builders about life before Retool. A big finding? Builders with the right knowledge can solve problems on their own: https://lnkd.in/eQFH9cS2 Building custom applications to solve internal problems used to require engineering buy-in, a re-allocation of resources, and months-long development cycles. Today, the domain experts are the solution-builders. They're building production-ready software that replace time-consuming processes, agents that automate manual work, and saving time and money for organizations along the way. And with the recent release of Enterprise AppGen capabilities in Retool, a company's bench of builders will only expand over time. The way we work is changing. How it's done, who does it, and how quickly business needs are transformed into production-grade software. Read our 2025 Builder Report at the link above and get an inside look at the future of work.

This week, we hosted an AI hackathon for customers at our London office. Over the course of an evening, we saw fully functional Agents deployed, production-ready applications generated in just a few prompts, and countless ideas swapped between attendees. Hackathons are one of the best ways to go hands-on with Retool and explore what it can bring to your company. Interested in attending one for yourself? Stay tuned for more in the future.

Building an AI agent that "works on my machine" is easy. Deploying a reliable, production-ready, and secure agent in your org can be far more challenging: https://lnkd.in/e32tD7rX Here are a few common mistakes organizations make: 1/ Asking AI to automate something they don’t fully understand themselves. Think about it this way: If you can't specify the steps to a complete a task, AI may not be able to figure it out either. Being specific leads to better results. 2/ Not investing in guardrails or observability. Agents require a different approach to safety and QA versus traditional software. You should always know what's going on inside of your systems, be able to track their spending (eg; token usage and cost), understand runtimes, and have full visibility into your security measures. 3/ Expecting full autonomy on the first try. Many organizations try and make full autonomy work out of the box. Consider building from the ground up instead. Slowly iterate on the solution piece by piece and add autonomy incrementally, and you'll get a stronger final product in the long run. Agents will never be perfect on day one, but the right combination of orchestrated agents, deterministic processes, and structured human judgment embedded in business workflows can turn those prototypes into durable production value. Read our playbook for successful AI agent implementation 🔝

Turn your spreadsheets and CSVs into secure, powerful, and enterprise-grade applications — in just a few prompts. Watch our Developer Relations Lead Keanan Koppenhaver transform a giant spreadsheet of US Airport Data into an application that not only displays this information, but also lets you search, filter and dive deeper on any of the data points. Ready to prompt software that’s connected to your data, deployed in your cloud, and secure by default? Try our enterprise AppGen capabilities for free today.