Posts in "AI"

A practical guide to AI agent observability, covering request ids, traces, token ledgers, tool calls, error categories, retries, timelines, and retention policy.

A practical playbook for controlling AI API spend with budgets, limits, usage logs, caching, model tiers, retry controls, and monthly reviews.

AI code review should not stop at style. Before merge, it should look for behavior regressions, permission mistakes, cache invalidation bugs, missing tests, and unreviewable scope.

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 troubleshooting guide for AI APIs, OpenAI-compatible gateways, and relay providers, focused on separating authentication, quota, rate limits, model configuration, proxy issues, and upstream failures.

Practical guardrails for letting AI agents work in real repositories: branches, worktrees, validation, command approval, and dirty working tree discipline.

A practical comparison of local and cloud AI models across privacy, latency, quality, operating cost, deployment complexity, and hybrid architectures.

A practical policy framework for team AI usage, covering secrets, data classes, code, approvals, logging, vendor management, and employee training.

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 decision guide for choosing between AI relay stations, official APIs, and AI subscriptions across personal chat, lightweight development, team APIs, global products, cost control, reliability, compliance, security, and billing transparency.

A practical guide to where AI coding tools help most: reading code, adding tests, moving boilerplate, tracing call chains, and making small verified changes, without handing over architecture decisions too early.

A measured look at AI browsers, from Chrome and Edge to Comet and Dia, and why tabs, permissions, privacy, page structure, and agents make the browser entry point important again.

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 practical explanation of AI API usage billing, including input tokens, output tokens, model prices, relay multipliers, cache discounts, minimum charges, and batch-job estimates.

Price is only one part of choosing an AI relay station. This guide covers model authenticity, stability, usage logs, API compatibility, privacy, support, balance rules, and why you should test with a small amount first.

A practical look at why vibe coding became popular, how natural language became a software-building interface, and where AI-generated code can fail without clear requirements, review, testing, and production discipline.

A practical explanation of AI context windows, 128K and 1M token limits, long-context caveats, RAG, and how to manage context in real AI workflows.

A practical explanation of OpenAI-compatible APIs, including API keys, base URLs, model names, endpoints, the /v1 suffix, Chat Completions, Responses, and relay providers.

A practical explanation of how AI relay stations solve subscription waste, regional access limits, and multi-model usage with one reusable balance.

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.

A plain-language explanation of AI tokens, with examples for chat, long-document summaries, coding, context windows, and API billing.