nWave-ai

Rust property-based testing with proptest, quickcheck, and bolero frameworks.

Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning.

Detailed refactoring mechanics with step-by-step procedures, and a test code smell catalog with detection patterns and before/after examples.

Rust property-based testing with proptest, quickcheck, and bolero frameworks

Stateful property-based testing patterns, model-based testing, and anti-patterns

TypeScript/JavaScript property-based testing with fast-check framework and arbitraries

Review dimensions and scoring for root cause analysis quality assessment

Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.

Tactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection

Evaluation criteria and scoring for data engineering artifact reviews

Naming conventions, API ergonomics, and usability patterns for functional code

Evidence collection methods, problem categorization, analysis techniques, and solution design patterns

Property-based testing core concepts, property taxonomy, and strategy selection (language-agnostic)

Haskell property-based testing with QuickCheck and Hedgehog frameworks

TypeScript/JavaScript property-based testing with fast-check framework and arbitraries

Evidence quality validation and decision gate criteria for product discovery reviews

Root cause analysis and debugging

Critique dimensions and scoring for research document reviews

Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.

nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.

Bug fix workflow: root cause analysis → user review → regression test + fix via TDD

How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.

Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof

BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification

Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.

All /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement

5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.

Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules

BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation

Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications

Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution

Canary skill for auto-injection detection

CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.

Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows

Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations

Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence

Step-by-step workflow for converting bloated command files to lean declarative definitions

Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.

Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns

Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.

Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design