From Bangalore to the Bay: Builders Shipping Apps Using Express.Dev
Developers built real AI apps in hours with Express.dev. See how hackathon teams turned messy data into production-ready solutions.
May 2, 2026
Express.dev
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Conversational data engineering lets non-engineers describe a pipeline, connector, or integration in plain English and have it built automatically, cutting build time from weeks to minutes.
Express.dev is Nexla’s conversational data engineering platform — describe “connect Salesforce to Snowflake, sync daily” and Express builds it, no code required.
How AI Is Transforming Data Engineering: From Code to Prompts
AI is shifting data engineering from code-heavy ETL to prompt-driven pipelines. Explore where LLMs fit, common pitfalls, and how Nexla makes AI-ready data workflows practical.
By Dana Palko
Jan 9, 2026
Evaluating LLM-Generated Transformations for Data Engineering
A research-backed framework for evaluating LLM-generated data transformations. Learn how datasets, sandboxed execution, and automated judging reveal failure patterns and model performance across real-world data engineering tasks.
Jan 8, 2026
Generative UI – Building Delight in AI Agent UX
Explore how Express.dev makes AI agents capable of generating rich, interactive UI for structured data workflows. From XML-driven forms to real-time validation and OAuth flows, generative UI turns chat into a truly collaborative experience.
Why We Built Express: From Data Variety to Data Simplicity
After years of solving data variety, we built Express, a conversational data engineering platform that turns complex data work into simple, prompt-driven pipelines making data engineering accessible to everyone.
Nov 17, 2025
AI-Powered Data Transformation: From Manual Mapping to Self-Learning Pipelines
Most data teams waste time fixing brittle pipelines instead of driving insights. See how AI-powered transformation and Nexla’s Common Data Model cut manual work and ensure scalable pipelines.
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
