Systems | Development | Analytics | API | Testing

AI-assisted software development makes building new features to help our customers an exercise in speed. Rainforest has a deep culture of experimentation and iteration, and we’re actively exploring how AI can help us work smarter. At our core, we aren’t just building an AI test generation tool; we are constantly experimenting with how AI can make our own development cycles leaner, faster, and more intuitive. That includes experimenting with AI-assisted software development.

In 2026, PropTech is no longer experimental. For most owners, operators, and investors, technology isn’t something you pilot — it’s core infrastructure. The shift is visible in both numbers and behavior. The global PropTech market is expected to grow from ~$34.4B in 2025 to ~$40.4B in 2026, with a projected ~17% CAGR through 2035. But growth alone doesn’t explain what’s happening.

Navigate to Workspaces → SQL Editor in your Keboola project. Write or paste your SQL query in the editor. ‍

Last week we publicly released Kai, our in-platform AI assistant, a data engineering agent that can build integrations, write transformations, debug failures, and document your entire project. I'm extremely proud of the team and what we've delivered. Yes, everyone has an AI assistant now. But most are chat wrappers that look great in scripted demos and fall apart with real work.

Explore what a modern data stack is, the modern data stack architecture, and examples of modern data stack tools that support scalable data integration.

Today, we’re thrilled to announce that Koyeb has entered into a definitive agreement to join Mistral AI to advance cutting-edge AI infrastructure. Koyeb will bring its platform, technology, and team to accelerate Mistral Compute offering. Compute is designed to provide leading teams across the globe the same state-of-the-art infrastructure Mistral AI uses to build, run, and scale frontier models and AI software.

Creating AI writing tools is messier than you’d think. You start with this grand vision of an assistant that actually helps people write better, not just spits out generic text. Then reality hits. Models hallucinate. Users have wildly different needs. And suddenly you’re facing questions about responsibility, accuracy, and whether you’re building something genuinely useful or just another gimmick.

Modern applications depend on multiple services, APIs, databases, and third-party systems working together. While unit tests validate individual components, most production issues occur at integration points. That’s why integration testing tools are essential for ensuring system reliability. In this guide, we cover the top 10 integration testing tools for 2026, a quick comparison to help you choose the right one, and how these tools fit into modern CI/CD and DevOps workflows.

Gartner has named Qlik a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality Solutions, our seventh time being recognized as a Leader in this Magic Quadrant. As AI becomes operational, data quality matters more than ever. We’re past the phase where AI just produces outputs. AI is starting to initiate, route, and act across real workflows.

Better specs and clearer task decomposition are a significant step forward. But specs and plans describe intentions. What AI agents also need is visibility into what systems actually do at runtime.