DevOps

Trace a document request through retrieval and inference to see how compute, memory, networking, power, cooling, throughput, and utilization affect costs.

Use a search feature to connect task requests, contracts, context, model choice, implementation, verification, handoff, and PR review with Claude and Codex.

Split coding tasks between Claude and Codex and isolate changes with Git worktrees. Define file ownership and API contracts, check shared ports and databases, and integrate results sequentially. Learn to resolve conflicts, verify the integrated feature, and compare time and cost.

Learn how to resume long-running work with Claude and Codex. Record the goal, code state, verification evidence, and next action, then check them against the repository. Understand how conversation compaction differs from resuming a session and how to check uncommitted changes and stale records.

Learn how prompt caching can reduce the cost of repeated input with Claude and Codex. Arrange stable instructions and task data, interpret OpenAI and Anthropic usage, and diagnose misses. Compare the controls available in APIs and coding tools, then verify the impact on total cost and quality.

Measure Claude and Codex token usage alongside actual development efficiency. Track completion, human rework, time through verification, and cost per completed task. Include failures and stops, compare under the same conditions, and use the results to choose improvements.

Verify code changes made by Claude and Codex, from reproducing the failure through type checks, tests, and browser behavior. Use a search filter example to write a regression test, report failures, decide when to stop retrying, and document what was checked and what remains unverified.

Choose models and reasoning effort based on the difficulty and risk of an AI coding task. Define starting routes and escalation rules for quick edits, routine implementation, and complex design or verification, then compare Claude and Codex on cost, latency, and quality.

See when skill descriptions, instructions, MCP tool definitions, and tool responses enter an agent's context. Compare Claude Code and Codex loading patterns and reduce token usage by loading only what the task needs.

Give AI coding agents a clear goal, scope, constraints, completion criteria, verification steps, and boundaries for decisions. Use a practical request template to improve implementation and reduce review rounds.

Organize repositories so coding agents can find the information each task needs. Separate AGENTS.md, task documentation, and scoped directory guidance to reduce rework and connect shared and local rules in monorepos.

Design AGENTS.md and CLAUDE.md without duplicating rules. Separate shared and tool-specific guidance and use templates that fit how Codex and Claude Code load instructions to reduce context costs and rework.

Reduce token usage and rework when developing with Claude and Codex. Define task scope, organize repository instructions, narrow tool output, and build a verification loop with practical templates, a checklist, and comparison metrics.

Build a blog service with Nginx, an API, and a database using Docker Compose, Kubernetes, and HPA.

Learn to operate Kubernetes reliably with Prometheus and Grafana monitoring, Secrets for sensitive data, and a GitHub Actions CI/CD pipeline.

Learn how HPA (Horizontal Pod Autoscaler) adjusts Pod counts to match traffic, how rolling updates and rollbacks keep deployments available, and how to route multiple services through one IP using Ingress.

Learn Kubernetes declarative configuration by writing YAML files for Deployments and Services, deploying Nginx Pods, and exposing them externally through NodePort.

Understand the limits of Docker Compose and why Kubernetes is useful. Learn about Pods, Deployments, and Services, install a Minikube cluster on a Mac, and run an Nginx Pod with kubectl.

Learn to share images on Docker Hub, connect containers through Docker networks, and manage Nginx and a Node.js API server together with Docker Compose.

Run the Nginx Docker image, learn port mapping and volume mounts, and build a custom image with your own static web page using a Dockerfile.

Compare virtual machines and containers, understand Docker images and containers, install Docker, and run your first container.