DEV BLOG

Show your work: the Stuut engineering blog

How we build, test, and run the AI that does order-to-cash work, written by the engineers building it.

AI & Agents

Developer Tooling

Backend Architecture

Integrations & Data Platform

October 14, 2026

Emma Teng

Turning Human Review into Improvements: How Stuut Agent Learns from Its Coworkers

How Stuut Agent turns everyday human review decisions into prioritized fixes: one-sentence case descriptions, stable weekly patterns, root-cause investigation, and a few engineer-reviewed changes.

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July 21, 2026

Emma Teng

Building Ask Stuut: Your AI AR Analyst

Learn how Stuut built Ask Stuut, an AI analyst for accounts receivable, using governed data pipelines, semantic views, tenant isolation, and evals to deliver trustworthy AR insights.

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July 7, 2026

Jason Jho

How Every Engineer Branches a Safe Copy of Production

Every Stuut engineer can spin up a full masked copy of production in seconds, with real row counts and real data skew, because our schema labels drive the masking rules directly. A blocking schema test and an AI code reviewer both enforce that any column marked sensitive has a masking rule before the change can land.

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August 25, 2026

Jake Tran

Event & Audit Logging

Stuut built a single append-only audit log, written in the same transaction as every action, that powers the customer-facing audit trail, the workflow engine, and Ask Stuut all at once.

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September 17, 2026

Ashley Vincent

Snowflake Data Sharing: A Third Way to Get AR Data into Stuut

Stuut can now ingest a customer’s data straight from Snowflake using a secure data share. These data warehouse integrations increase the speed of our already lightning-fast onboarding times and reduce the workloads on our customer’s internal IT and data teams. In this post we break down how these integrations are done.

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