Primitives

technical-documentation

Technical Documentation — API references, architecture guides, README generation, changelog automation, tutorials.

terraform-iac

Terraform IaC — module authoring, state management, workspace strategies, provider configuration.

testing-automation

AI-powered testing — unit test generation, integration testing, E2E with Playwright, AI evaluation pipelines.

typescript-fullstack

TypeScript Full-Stack — Next.js, React, NestJS, Prisma, Zod, Vitest, and end-to-end type safety. Modern web development with server components.

typescript-mcp-development

TypeScript MCP Development — build MCP servers in TypeScript with Node.js, Express/Fastify hosting, Zod schema validation, and npm package distribution.

agent-chain-configure

Orchestrate builder, reviewer, and tuner agent handoffs for solution plays — define roles, model routing, token budgets, and quality gates

api-rate-limit-configure

Configure API rate limiting, APIM throttling, and retry behavior for AI endpoints — absorb bursts, isolate noisy tenants, and control 429 retries

app-insights-configure

Configure Application Insights, OpenTelemetry, and KQL dashboards for AI workloads — trace latency, token usage, failures, and cost signals

audit-log-implement

Implement immutable audit logging, PII redaction, and Sentinel monitoring for AI systems — preserve evidence, prove access history, and detect suspicious activity

azure-openai-setup

Set up Azure OpenAI deployments, RBAC, and monitoring — harden inference endpoints and control latency, quota, and cost

backup-restore-ai

Back up AI data, vector indexes, and configuration state — recover prompts, conversations, and search assets after failures

bicep-module-create

Create reusable Bicep modules, parameter files, and registry packages — standardize Azure infrastructure and reduce deployment drift

canary-deploy-ai

Implement canary deployment, rollout gates, and rollback automation for AI changes — catch latency or quality regressions before full release

circuit-breaker-add

Add a circuit breaker, fallback routing, and health checks for Azure OpenAI calls — contain 429 and 503 cascades and preserve service

compliance-audit-run

Run AI compliance audits, collect Azure evidence, and track remediation — assess SOC 2, HIPAA, ISO 27001, and EU AI Act controls

embedding-model-select

Select embedding models, dimensions, and hybrid search settings for vector workloads - balance recall, storage cost, and migration risk

fai-agent-chain-configure

Configure builder→reviewer→tuner agent chain with handoff rules, model assignment, and evaluation gates.

fai-agent-governance

Review agent safety controls, budget limits, and human escalation paths - approve only agents that stay bounded, observable, and policy-compliant

fai-agentic-eval

Run evaluator-optimizer loops for agents and prompts - score outputs, revise weak instructions, and stop only when quality thresholds hold

fai-api-docs-generator

Generate API reference docs, examples, and error catalogs from OpenAPI or code annotations - keep endpoint docs accurate, testable, and publishable

fai-api-endpoint-generator

Generate typed REST API endpoints with Zod/Pydantic input validation, RFC 7807 error responses, OpenAPI annotation, and Managed Identity auth — eliminating schema drift and IDOR vulnerabilities.

fai-api-rate-limit-configure

Configure API rate limiting with Azure APIM policies, throttling tiers, and retry headers.

fai-app-insights-configure

Configure Application Insights with custom AI metrics, anomaly alerts, and operational dashboards.

fai-architecture-blueprint

Generate solution architecture blueprints with Mermaid service topology, component responsibility tables, data flow annotations, and WAF pillar mapping — bridging system design to implementation.