By default, Claude generates its response token by token without any deliberate planning step. For most tasks — answering a question, writing a function, explaining a concept — this is fine. The response comes quickly and it is good. For some tasks, it is not enough. Complex multi-step reasoning problems, ambiguous architecture decisions, intricate security analyses — these benefit from Claude thinking through the problem before committing to an answer. That is what extended thinking and adaptive thinking provide.

Picking the wrong Claude model is expensive. Opus on every task costs 5x more than Sonnet for comparable results on most work. Haiku on a complex reasoning task produces worse output than just asking Sonnet. And if you are still using models from early 2025, some of them are deprecated — or will be soon. This guide covers every current Claude model, what each is good at, how much they cost, and a concrete decision framework for choosing the right one.

Spring AI 1.0 GA shipped in May 2025. It brings the Spring programming model to AI development: a unified ChatClient API that works across Claude, OpenAI, Gemini, Ollama, and Azure OpenAI — switching AI providers is changing one dependency. This guide builds a complete RAG (Retrieval-Augmented Generation) application that answers questions about your documentation using any AI provider. What Is RAG? A large language model (LLM) knows everything in its training data but nothing about your specific documents, code, or business data.

Most stock screeners cost $30–$200 per month. Bloomberg Terminal costs $24,000 per year. I built something that does a meaningful fraction of what those tools do — analysing 220+ UK and US stocks every hour, scoring them across six dimensions, detecting bearish warning signals, running insider trading checks via SEC EDGAR, and presenting everything in a React PWA — at zero ongoing cost. The platform is live at share.devops-monk.com. The full source is at github.

If you have been using Claude in a browser tab to help with code, you are leaving most of its capability on the table. Claude Code CLI brings the full power of Claude directly into your terminal — it reads your actual codebase, runs real commands, edits files, commits code, and integrates with every tool in your DevOps stack. This guide covers everything from installation to advanced patterns that most engineers never discover.

Token usage with Claude Code follows a frustrating pattern: costs are not spread evenly — they cluster around a handful of bad habits. Most developers using Claude Code daily are burning 40–60% more tokens than they need to, simply because of how they phrase prompts, what they put in CLAUDE.md, and which model they reach for by default. This guide covers five concrete changes that make an immediate difference. Why Tokens Are Worth Caring About Every message you send in a Claude Code session includes: