ReddRadar
Topic: software-architecture
278 skills in this topic.
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nw-infrastructure-and-observability
Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.
nWave-ai/nWave 341
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nw-interviewing-techniques
Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design
nWave-ai/nWave 341
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nw-investigation-techniques
Evidence collection methods, problem categorization, analysis techniques, and solution design patterns
nWave-ai/nWave 341
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nw-leanux-methodology
LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation
nWave-ai/nWave 341
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nw-legacy-refactoring-ddd
DDD-guided legacy refactoring patterns -- strangler fig, bubble context, ACL migration, 14 tactical/strategic/infrastructure patterns, and incremental monolith-to-microservices methodology
nWave-ai/nWave 341
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nw-mikado-method
Enhanced Mikado Method for complex architectural refactoring - systematic dependency discovery, tree-based planning, and bottom-up execution
nWave-ai/nWave 341
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nw-operational-safety
Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations
nWave-ai/nWave 341
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nw-opportunity-mapping
Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide
nWave-ai/nWave 341
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nw-outcome-kpi-framework
Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs
nWave-ai/nWave 341
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nw-par-critique-dimensions
Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.
nWave-ai/nWave 341
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nw-pbt-dotnet
.NET property-based testing with FsCheck, CsCheck, and fsharp-hedgehog frameworks
nWave-ai/nWave 341
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nw-pbt-fundamentals
Property-based testing core concepts, property taxonomy, and strategy selection (language-agnostic)
nWave-ai/nWave 341
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nw-pbt-jvm
JVM property-based testing with jqwik, ScalaCheck, and ZIO Test frameworks
nWave-ai/nWave 341
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nw-pbt-python
Python property-based testing with Hypothesis framework, strategies, and pytest integration
nWave-ai/nWave 341
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nw-pbt-stateful
Stateful property-based testing patterns, model-based testing, and anti-patterns
nWave-ai/nWave 341
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nw-pdr-review-criteria
Evidence quality validation and decision gate criteria for product discovery reviews
nWave-ai/nWave 341
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nw-post-mortem-framework
Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
nWave-ai/nWave 341
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nw-production-readiness
Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.
nWave-ai/nWave 341
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nw-production-safety
Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy
nWave-ai/nWave 341
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nw-property-based-testing
Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
nWave-ai/nWave 341
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nw-review-output-format
YAML output format and approval criteria for platform design reviews. Load when generating review feedback.
nWave-ai/nWave 341
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nw-rr-critique-dimensions
Critique dimensions and scoring for research document reviews
nWave-ai/nWave 341
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nw-sa-critique-dimensions
Architecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.
nWave-ai/nWave 341
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nw-sd-case-studies
25 real-world system design case studies condensed from Alex Xu's System Design Interview Vol 1 and 2 - requirements, architecture, deep dive insights, key takeaways
nWave-ai/nWave 341