explore-api

You can verify external API behavior by generating and executing falsifiable claims that test SDK and HTTP API responses. This process creates persistent learning test records to ensure your code relies on proven facts rather than assumptions.

A learning test is a persistent record that documents exact API behavior through executed proof scripts and YAML-based outcomes. You need it when integrating third-party libraries to eliminate uncertainty about event emission patterns and response shapes.

You document API behavior by running proof scripts through a lifecycle of Ingest, Hypothesize, Execute, and Refine phases. Findings are persisted to a centralized Learning Test Registry, enabling team-wide knowledge sharing of verified API facts.

Yes, shell-based execution is required to run the proof scripts that validate external API and library behavior. The verification process relies on executing these scripts and documenting test outcomes in YAML format.

Yes, automated proofs validate exact event emission patterns and response shapes for SDKs and standard library functions. By generating falsifiable claims, you confirm specific API behaviors before writing production code.

Learning tests require shell-based execution and YAML documentation, limiting use to environments supporting these formats. They document existing behavior but do not modify library functions or guarantee future API stability.