Notes from the least-action path.
Engineering deep-dives, release notes, and ideas on AI-native data workflows — from the team building LeastAction.
Handling task dependencies at Scale
LeastAction never materialises the dependency graph. Each task names its parents and resolves them when its turn comes. Here is the model, the call path, the…
Debug at Scale : Debugging the things that don't fail
Someone edits the load script for factsalesdaily. The revenue column definition changes from DECIMAL(15,2) to DECIMAL(15,1), reducing its precision from two…
Metric Standardization: One renderer for every report
Every new report request costs you another query, another renderer, another thing to page someone about. Here's the table shape that makes the next report…
The data contract lives in the skill file - teaching AI your pipeline's schema
Problem statement Your team already does the data engineering work - schema changes, SQL conventions, pipeline patterns, and data engineering guardrails…
How MCP access control works in LeastAction
How MCP access control works in LeastAction An MCP server hands an agent tools that read real data and change real state, so the question worth answering early…