github/scientist

Features

• Dual-Path Execution - Runs a control and one or more candidate implementations of the same logic to compare their outputs for parity.
• Production Experimentation Frameworks - A tool for safely deploying candidate code alongside a control path to detect mismatches in real-world environments.
• Logic Divergence Detection - Validates new logic against real-world production data to detect behavioral mismatches without affecting users.
• Performance Regression Analyzers - Tracks execution time and CPU usage across multiple implementations to identify performance regressions.
• Deployment Regression Detectors - Identifies behavioral regressions in production by comparing execution behavior between software versions.
• Refactoring Regression Detectors - Identifies behavioral divergences between legacy and refactored code by executing both in production.
• Code Path Interception - Wraps critical code paths to capture return values and exceptions from multiple versions for side-by-side validation.
• Custom Comparison Logic - Implements user-defined comparison functions to determine if different return values or exceptions are functionally equivalent.
• Experimentation Frameworks - Provides a framework for safely deploying candidate code alongside control paths to identify mismatches in production.
• Parallel Implementation Migrations - Facilitates safe code migration by comparing new logic against original implementations in a live environment.
• Surgical Code Refactoring - Enables precise, verified replacement of production code paths by ensuring identical results between versions.
• Behavioral Divergence Detectors - Detects behavioral divergences between legacy and refactored code by running both side-by-side during execution.
• Error Consistency Validation - Compares exceptions raised by different code paths to ensure new implementations fail in the same way as the original.
• Cross-Implementation Parity Verifiers - Validates that different software implementations of the same logic produce identical outputs and exceptions.
• Implementation Parity Testing - Executes a new code path alongside a control path to verify that both return the same values and perform similarly.
• Parity Mismatch Detection - Raises an exception when two code paths diverge to identify correctness issues during automated test runs.
• Performance Measurement - Tracks execution and CPU time for multiple code paths to identify performance regressions during a refactor.
• Ruby Parity Testing Libraries - Provides a specialized Ruby library for executing and comparing two versions of a code path.
• Ruby Refactoring Utilities - Offers Ruby-specific tools for running multiple versions of a code path to compare performance and results.
• Conditional Execution Gating - Provides mechanisms to control whether experimental code paths run based on custom flags to manage production rollout risk.
• Experiment Execution Controls - Provides flags to determine whether candidate code paths should execute during production rollouts.
• Experiment Result Publishing - Sends timing data and execution metadata to custom destinations for external analysis of results.
• Analysis Result Filtering - Applies custom logic to ignore known discrepancies or simplify return values for easier analysis of differences.
• Observability Data Filters - Suppresses reports of specific mismatches based on provided conditions to reduce noise in experimental data.
• Metric and Performance Monitors - Sends execution timing and mismatch data to external monitoring systems for performance and correctness analysis.
• Candidate Version Comparison - Runs a single control implementation against several alternative versions to compare different approaches simultaneously.
• Mismatch Filtering - Suppresses known discrepancies using custom predicates to reduce noise during experimental validation.
• Regression Testing Suites - Provides a side-by-side execution workflow to ensure new implementations do not introduce functional regressions.
• Code Analysis and Metrics - Library for safely refactoring critical code paths.

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