Performs Bazel Target Diffing between two revisions in Git, allowing for Test Target Selection and Selective Building
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Updated
Aug 10, 2026 - Kotlin
Performs Bazel Target Diffing between two revisions in Git, allowing for Test Target Selection and Selective Building
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Ekstazi is a Regression Test Selection algorithm. This is a Pytest plugin implementing it.
Modern dependency-based test selection for Maven, Gradle & JUnit 5
Map your test terrain — understand, optimize, and protect your test system with structural intelligence. AI and regular test parity for CI.
Run only the tests affected by your changes. Selective test execution inspired by Stripe.
Gradle plugin to run tests with ekstazi - the lightweight test selection library
Selects only the tests affected by your code changes by mapping per-test runtime coverage against Git diffs, cutting regression suite execution time.
Cut your test time to the minimum. Function-level test impact analysis via static AST for TypeScript, Go, and Rust.
A Static Class-level Regression Test Selection Tool
Code for "A Multi-Objective Test Selection Tool using Test Suite Diagnosability"
Impact-analysis and test selection CLI for OpenHarmony ArkUI workspaces. Automates XTS target resolution for changed files.
More precise regression test selection via reasoning about semantics-modifying changes
Skip tests that don't matter. This Maven plugin uses bytecode instrumentation to track which tests cover which classes, then uses Git to run only the tests impacted by your changes.
Instead of running the whole suite on every PR, analyze the diff's dependency graph and propose the minimal set of tests actually at risk — with an LLM fallback for dynamic-import edge cases the static graph can't resolve.
Test intelligence for Go — test impact analysis, line-level test selection, mutation testing, flaky-test detection, and coverage risk mapping in one static binary.
Run only the tests affected by your changes — intelligent test selection plugin for Vitest
Reference project for Quantik Mind. Demonstrates real-time, probabilistic decision intelligence via CI/CD.
Test prioritization engine - ranks tests by failure probability, recency, code proximity, execution cost. Faster CI feedback by running likely-to-fail tests first. TypeScript/Node.js + Docker + GitHub Actions CI.
Provably skip unaffected pytest tests on every PR. Static analysis, fail-closed, with evidence for every skip.
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