AI-Powered Answers for Data Engineering, Analytics, and ML

Mage Pro AI is your always-on data expert. Whether you’re building data pipelines, designing warehouse schemas, troubleshooting integrations, or making sense of your analytics stack, Mage Pro AI has the answer. It’s trained to understand the language of modern data teams — from ETL to orchestration to compliance — so you can move faster, with confidence.

How it works

Just type your question — natural language is all it takes. Mage Pro AI instantly parses your query and provides accurate, actionable responses across a wide range of data topics: infrastructure, modeling, governance, ML, and more. It’s built into the Mage Pro platform and fine-tuned specifically for data engineers, analysts, and architects. No docs to dig through. No syntax to memorize. Just ask.

Why it matters

Data teams lose countless hours searching for answers across scattered documentation, Slack threads, and tribal knowledge. Mage Pro AI changes that. With expert-level responses at your fingertips, your team can solve problems faster, onboard more easily, and stay focused on high-impact work. It’s like having a senior engineer on call — 24/7.

Design Complex Data Pipelines in Seconds

Stop wasting hours piecing together pipelines by hand. Mage Pro AI can design and build complex data workflows in seconds. Just describe your goal in plain English, and Mage Pro AI auto-generates the full pipeline—every block, every dependency, every line of code. It’s the fastest way to go from idea to production.

How it works

Tell Mage Pro AI what you want to build—ingest from S3, transform with Polars, join with a Delta Lake table, run daily, alert on failure. Mage instantly maps out the entire pipeline and generates working code for each step, fully integrated with your existing tools and infrastructure. You can review, tweak, and deploy—all within the Mage interface.

Why it matters

Manually building pipelines is slow, error-prone, and often blocks teams from experimenting or scaling quickly. Mage Pro AI turns hours of setup into seconds of generation—so engineers can focus on what matters: logic, not boilerplate. Whether you’re building one pipeline or a hundred, this is how modern teams move faster.

AI-Generated Code Blocks for Data Pipelines

Design your pipeline one step at a time—without writing a single line of code. Mage Pro AI can generate complete, production-ready code blocks for every stage of your data workflow. Whether you’re loading from S3, transforming with Polars, or joining warehouse tables, just describe the step and Mage writes the logic for you—clean, correct, and context-aware.

How it works

Tell Mage what you need: “Load this CSV from S3,” “Join with this Delta Lake table,” “Clean nulls in this column,” or “Calculate weekly aggregates.” Mage Pro AI instantly generates the full code block with proper syntax, libraries, and structure—tailored to your environment and dependencies. Each block can be reviewed, edited, or used as-is in your pipeline.

Why it matters

Building data pipelines should be about logic, not boilerplate. Writing every block by hand is slow and repetitive. Mage Pro AI speeds up development by giving you smart, reusable code blocks that integrate cleanly with upstream and downstream steps—so you can spend more time solving problems and less time typing solutions.

Smarter, Faster Code for Every Pipeline Block

Your pipelines don’t stay static—and neither should your code. Mage Pro AI helps you evolve your workflows by intelligently updating, refactoring, and improving code blocks in place. Whether it’s swapping a deprecated method, optimizing performance, or simplifying logic, Mage keeps your pipelines clean and production-ready without manual rewrites.

How it works

Highlight a block. Ask Mage Pro AI to optimize it, update logic, or align with new requirements. The AI understands your pipeline context—dependencies, data types, upstream/downstream flows—and rewrites the code accordingly. It even explains what it changed and why, so you stay in control while moving faster.

Why it matters

Manually maintaining pipelines is time-consuming and risky. Small changes in one block can ripple across the whole flow. Mage Pro AI handles updates safely, intelligently, and instantly—saving hours of debugging while ensuring consistency and performance across your pipeline. It’s like having a senior engineer reviewing and upgrading your code, 24/7.

Fix Pipeline Code Errors with AI-Powered Debugging

Broken code shouldn’t break your momentum. Mage Pro AI helps you resolve issues in your pipeline code with intelligent, context-aware fixes. Whether it’s a typo, logic error, or unexpected data mismatch, Mage identifies the problem, corrects the code, and explains what was changed—so you can stay focused on shipping, not struggling.

How it works

When something goes wrong, highlight the problematic block or describe what’s happening. Mage Pro AI analyzes the code, understands the upstream and downstream dependencies, and suggests a corrected version that works within the full pipeline context. It can handle Python, SQL, and custom logic—all without requiring a deep dive from your team.

Why it matters

Debugging pipeline code wastes valuable time and introduces risk. One small error can hold up a whole deployment. Mage Pro AI reduces that friction by giving your team an intelligent tool to quickly find and fix issues—saving hours of guesswork and cutting down on costly mistakes.

Self-Healing Data Pipelines with AI

Imagine a pipeline that doesn’t just fail and stop—but learns, adapts, and fixes itself. Mage Pro AI makes that possible. It runs your pipeline, detects failures, diagnoses errors, and keeps correcting the code until everything works—and your data passes every validation check. You get working, trustworthy pipelines without the endless cycle of test-fail-debug-repeat.

How it works

Start by running your pipeline as usual. If something breaks—invalid schema, type mismatch, nulls where they shouldn’t be—Mage Pro AI takes over. It iterates through debugging cycles, rewriting blocks and rerunning them until the output meets your defined validations. Whether you’re working with S3, Polars, SQL, or Delta Lake, it continuously adapts until the pipeline succeeds end to end.

Why it matters

Failures in data pipelines are inevitable—but wasting hours chasing them down isn’t. Mage Pro AI closes the loop by running and fixing your pipelines automatically, ensuring that data quality checks are met before anything moves forward. It’s not just faster—it’s safer, smarter, and built for modern teams who can’t afford downtime.

Understand Your Pipeline Data with AI-Powered Q&A and Analysis

Stop wondering what’s happening inside your pipelines—just ask. With Mage Pro AI, you can ask plain-language questions about your data and get clear, accurate answers backed by real-time analysis. Whether it’s row counts, schema drift, missing values, or data anomalies, Mage tells you what’s going on and why—automatically.

How it works

Mage Pro AI understands your pipeline metadata, execution history, and datasets. When you ask a question—like “Why did this block fail?”, “How many rows were dropped?”, or “Are there outliers in this column?”—it analyzes the underlying data and responds with insights, context, and suggested actions. No need to query logs or write SQL. Just ask and get answers.

Why it matters

Data pipelines are full of blind spots. When things go wrong or results look off, most teams lose hours digging through logs, metrics, or raw tables. Mage Pro AI eliminates that gap. It helps you understand your data, detect issues early, and make better decisions—all through simple questions and instant answers. It’s not just monitoring—it’s understanding.

AI-Powered Data Visualizations for Every Step in Your Pipeline

See your data, don’t just read it. Mage Pro AI transforms the output of any pipeline block into insightful, ready-to-use visualizations. Whether it’s trends, distributions, comparisons, or anomalies—Mage turns raw data into charts that make sense instantly. No plotting libraries. No configuration. Just clarity.

How it works

After a code block runs, Mage Pro AI analyzes its output—detecting column types, value ranges, patterns, and anomalies—and automatically generates the most appropriate visualization: bar charts, line graphs, histograms, heatmaps, and more. You can ask for custom charts or explore suggested ones, all embedded directly in the Mage UI.

Why it matters

Manually exploring output data slows down your flow and often leaves hidden insights undiscovered. Mage Pro AI gives every engineer the power of instant, intelligent visual feedback—without needing to write plotting code or configure a dashboard. That means faster debugging, smarter decisions, and better data understanding at every step.

Build Interactive Data Products Instantly with AI-Generated Tables

Mage Pro AI lets you turn raw pipeline outputs into real data products—starting with smart, explorable tables. In just one click, you can generate an interactive table that lets you filter, search, sort, and understand your data like never before. No front-end work, no dashboard setup—just usable data, ready to explore.

How it works

After your pipeline runs, Mage Pro AI examines the output and automatically creates a rich, interactive table view. It intelligently infers column types, relationships, and formats, allowing you to slice and explore the data without writing a single line of code. You can even ask follow-up questions or trigger transformations right from the table itself.

Why it matters

Most teams stop at generating raw output. Mage helps you go further—by instantly turning that output into something usable by analysts, stakeholders, or other pipelines. With AI-generated data products like tables, your data becomes interactive, insightful, and ready to power decisions. It’s the fastest way to go from backend to impact.