AI-Assisted ML Engineering
Turn natural language into ML feature pipelines in seconds with AI agents and Tecton—right in your IDE.
1.What is it?
ML Engineering Without the Engineering
Tecton’s AI-Assisted ML Engineering bridges the gap between idea and implementation. Describe what you need in natural language, and watch as AI generates, tests, and validates production-ready feature code — all within your familiar coding environment.
2.How does it work?
AI-Powered Workflow
Tecton integrates with your MCP-aware coding IDE, like Cursor or Windsurf. Describe your feature requirements conversationally or throw existing data pipeline code at it, and the AI agent handles the rest—writing production-grade code, creating tests, and validating syntax. The system operates in a control loop, autonomously fixing issues until your feature pipeline is production-ready.
3. Why does it matter?
Breaking Down ML Engineering Barriers
Even with modern tools, most teams face a shortage of ML talent, struggle with legacy systems, and hesitate to adopt better solutions due to high migration costs. Tecton’s AI-Assisted ML Engineering removes these roadblocks—making it faster, easier, and more accessible for any team to build production-ready ML features.
Resources
See it in action
Building a Streaming Feature View
Created a streaming feature with Cursor using Tecton’s aggregation engine, resolving validation iss...
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Predictive ML
