How to give AI coding agents useful context in real repositories: task boundaries, file evidence, project constraints, and acceptance checks that make the result reviewable.
A practical checklist for configuring Codex, Claude Code, OpenAI-compatible clients, relay APIs, and internal gateways, covering API keys, base URLs, model ids, endpoints, proxies, redacted logs, and smoke tests.
A practical model-selection guide for Codex, Claude Code, and other coding agents, organized by task risk, context size, tool use, latency, cost, and validation strategy.
A practical guide to using Codex, Claude Code, and other coding agents with Git branches, diff review, validation, PR descriptions, command approval, and sane task scope.
A practical explanation of Codex and Claude Code, how coding agents differ from normal AI chat, who they fit, and what risks developers should watch for.
A step-by-step Windows, macOS, and Linux guide for routing Codex and Claude Code through AI relay APIs using local key files, config files, and smoke tests.