Results for “a-b-testing”

`analysis-agent`/`task-agent`/`review-agent`: use when logic, rules, invariants, branches, edges, or failure paths need isolated tests; skip without a unit-test decision.

`analysis-agent`/`task-agent`/`review-agent`: use for database, broker, cache, HTTP, framework, process, or transaction seam proof; skip local, portfolio, and release-verdict work.

Provides a structured debugging workflow for errors, test failures, and unexpected behavior, including root cause analysis and verification steps.

Verifies that fix commits properly address security audit findings without introducing new bugs or vulnerabilities.

Tests approaches at extreme scales (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales.

Refactors duplicated code by extracting helper methods, shared abstractions, or reusable structures, with automated testing and commits after each extraction.

Provides guidance and best practices for working with curl, covering core concepts, common use cases, troubleshooting, and security considerations.

MLOps Engineer IA — Expert en déploiement de modèles ML (A/B testing, feature stores, MLflow, Kubeflow). Industrialise le ML du notebook à la production.

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

`analysis-agent`/`task-agent`/`review-agent`: use when a critical assembled journey needs proof unavailable below E2E; skip risks proved by component, seam, or contract tests.

Guides users through creating, refining, and evaluating agent skills, including drafting, testing, and optimizing descriptions for better triggering.

Provides a structured debugging workflow for analyzing errors, test failures, and unexpected behavior, including root cause analysis and fix recommendations.

Fuzz Python code and C extensions with coverage guidance and AddressSanitizer support using a libFuzzer-based fuzzer.

Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking, producing a concrete one-pager.

Refactors code by renaming variables, methods, classes, and types to improve clarity and intent, with automatic testing and commits after each rename.

Guides test-first development with vertical slices, one test at a time, and refactoring after green.

Test Python services with pytest, async coverage, monkeypatch, and boundary-focused fakes. Use when writing Python tests, fixtures, async tests, regression tests, or dependency-isolated verification.

Orchestrates end-to-end software development from scaffolding to deployment, covering frontend, backend, database, testing, and CI/CD workflows.

Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.

Automates git bisect workflows with custom test scripts and CI pipeline integration to identify regression-introducing commits.

Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking. Language-agnostic principles with TypeScript/Jest and Python/pytest examples.

Reproduce a bug as a failing regression test, fix until green, review, and commit via a delegated pipeline.

Design statistically valid A/B tests with hypothesis frameworks, sample size calculations, and analysis checklists.

Use Pacu modules for AWS privilege escalation, persistence, and backdooring during authorized penetration tests.

Generates unit tests for code changed in the current branch by comparing against origin/main and following existing test conventions.

Build and run custom fuzzers with LibAFL, a modular Rust fuzzing library, including drop-in libFuzzer replacement and custom component configuration.

Guides setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

Diagnose page conversion readiness with a weighted scoring index and deliver prioritized, evidence-based CRO recommendations.

Use this when a project needs a better local development workflow for setup, running services, seeding data, testing integrations, or managing multi-service developer environments.

Watch, audit, and fix another agent's work by reconstructing the original request, inspecting evidence, and reporting gaps.

Systematically explores a web application, finds issues, and produces a report with reproduction evidence for each finding.

Uses two independent review agents to verify output quality, requiring both to pass before shipping.

Writes and reviews defensive Bash scripts for automation, CI/CD, and system utilities, emphasizing safety, portability, and testability.

Test JWT signature verification bypass by crafting tokens with the 'none' algorithm.

Accelerate JavaScript/TypeScript development with the Bun runtime, covering package management, bundling, testing, and migration from Node.js.