Principal/Senior-level AI/ML playbook for production machine learning systems, LLM-enabled backends, model serving, training pipelines, evaluation discipline, reliability, security, and MLOps. Use when: designing ML services, building or reviewing training/inference code, selecting model architectures, fine-tuning transformers, hardening model APIs, debugging performance or correctness issues, or preparing ML systems for production.
Principal/Senior-level Erlang and Elixir playbook for highly available backend systems, OTP design, actor-model concurrency, reliability, observability, and production operations. Use when: building or reviewing Elixir or Erlang services, designing OTP supervision trees, handling high-concurrency workloads, debugging distributed failures, improving resilience, or preparing BEAM systems for production.
Principal/Senior-level Zig playbook for backend services, systems-aware APIs, memory management, concurrency, performance, reliability, observability, and production operations. Use when: building or reviewing Zig services, designing low-level backend components, optimizing latency-sensitive services, hardening memory-sensitive systems, debugging allocator issues, or preparing Zig applications for production.
Principal/Senior-level Airflow playbook for DAG architecture, scheduling reliability, dependency management, platform governance, and operating workflow orchestration safely at scale. Use when: designing DAG ecosystems, reviewing orchestration patterns, scaling schedulers and executors, or operating Airflow in production.
Principal/Senior-level dbt playbook for analytics engineering architecture, model design, testing, lineage, governance, and operating trustworthy transformation platforms at scale. Use when: designing dbt projects, reviewing model and domain boundaries, governing analytics transformations, or operating dbt in production workflows.
Principal/Senior-level Flink playbook for stream processing architecture, stateful pipelines, event-time correctness, checkpointing, scaling, and operating low-latency data platforms. Use when: designing streaming systems, reviewing stateful Flink jobs, tuning event-time pipelines, or operating Flink in production.
Principal/Senior-level Spark playbook for batch and streaming architecture, data layout, shuffle control, cost-efficient compute, reliability, and operating large-scale data processing platforms. Use when: designing Spark workloads, tuning jobs, optimizing cluster economics, or operating Spark platforms in production.
Principal/Senior-level Argo CD playbook for GitOps architecture, application boundaries, sync safety, tenancy, policy, and operating continuous delivery platforms on Kubernetes. Use when: designing GitOps delivery, reviewing Argo CD app structure, operating multi-team clusters, or hardening declarative deployment workflows.