基础设施与 DevOps技能

Netlify deployment platform — serverless functions, edge functions, redirects, forms, Blobs, build plugins

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EAS Build, Update, Submit deployment patterns

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Infrastructure code review — supply-chain pinning, secret exposure, workflow triggers and untrusted input, container hygiene, deployment safety. Load when reviewing a diff that touches CI/CD workflows, Dockerfiles, deployment configs or IaC.

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Vercel deployment platform — project configuration, serverless/edge functions, Routing Middleware, cron jobs, environment variables, monorepo setup

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Cloudflare Workers edge compute platform — Wrangler CLI, KV, D1, R2, Durable Objects, Queues, Workers AI

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TypeScript-native Infrastructure as Code with Pulumi

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AWS SDK v3 for TypeScript — modular clients, command pattern, S3, DynamoDB, SQS, Lambda, SNS, Secrets Manager

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pnpm workspace protocol, filtering, catalogs, shared dependencies, publishing, and CI/CD for monorepo management

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SST (Ion) infrastructure-as-code — TypeScript-first serverless on AWS with Pulumi, resource linking, and live Lambda dev

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Infrastructure as Code with HashiCorp Terraform

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Electron Forge build toolchain -- makers, publishers, code signing, fuses, hooks, CI/CD packaging

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Kubernetes manifests, Helm charts, Kustomize overlays, and resource patterns

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Turborepo CI pipelines with remote caching and affected detection

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Docker containerization patterns for Node.js/TypeScript development and production

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Tauri 2.x bundling, code signing, auto-updater, platform installers, CI/CD

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Pino, Axiom, Sentry installation - one-time project setup for logging and error tracking with source maps upload

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GitHub Actions, pipelines, deployment

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Environment configuration, Zod validation

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Pino logging, Sentry error tracking, Axiom - structured logging with correlation IDs, error boundaries, performance monitoring, alerting

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LLM observability with Langfuse — OpenTelemetry-based tracing, evaluations, prompt management, datasets, and production best practices

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Replicate SDK patterns for TypeScript/Node.js -- client setup, predictions, streaming, webhooks, file handling, model versioning, deployments, and training

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Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint

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Testing and evaluation framework for LLM prompts and applications -- promptfooconfig.yaml, assertions, model-graded evals, red teaming, CI/CD integration, custom providers, and comparative evaluation

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Serverless GPU compute platform for AI model deployment — web endpoints, GPU functions, model serving, and TypeScript client patterns

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