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September 1, 2026418 viewsEnglishTutorial
Codex CLI Installation Guide 2026: Reproducible Setup for Linux, macOS, Windows, and CI
Install Codex CLI with pinned versions, isolated credentials, repository guardrails, and repeatable CI configuration.
Crazyrouter Blog
Practical notes on AI models, API costs, and production workflows.
Model updates, integration guides, pricing breakdowns, and tool workflows for developers and teams.
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September 1, 2026417 viewsEnglishTutorial
How to Get a Claude API Key in 2026: Secure Setup for Local Development and CI
Learn how to get a Claude API key, configure it safely, test the first request, and avoid leaking credentials in Git or CI logs.
September 1, 2026449 viewsEnglishComparison
AI API Pricing Comparison 2026: Calculate Effective Cost Across Models and Routers
Compare AI API pricing by tokens, cached context, retries, latency, and routing instead of relying on headline input rates.
September 1, 2026363 viewsEnglishComparison
Gemini Advanced Review 2026: Is It Worth It for Developers and API Builders?
A developer-focused Gemini Advanced review covering research, coding, context, subscription value, API economics, and practical alternatives.
September 1, 2026396 viewsEnglishGuide
Claude Code Pricing in 2026: A Developer Budget Guide for Seats, API Usage, and CI
A practical Claude Code pricing guide for solo developers and teams, covering subscriptions, API usage, CI budgets, and routing controls.
August 23, 2026458 viewsEnglishTutorial
Async AI API Jobs and Webhooks: A Production Implementation Guide
Design reliable asynchronous AI jobs for image, video, audio, and long-running agent tasks using queues, polling, webhooks, and idempotency.
August 23, 2026335 viewsEnglishGuide
AI API Testing and Evaluation Guide for Developers in 2026
Build a practical test and evaluation system for AI APIs with fixtures, schema checks, regression sets, latency budgets, and human review.
August 23, 2026381 viewsEnglishTips
AI API Cost Optimization in 2026: Tokens, Caching, and Routing
Reduce AI API spending with prompt budgeting, response caching, model cascades, batching, and usage-based cost attribution.