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Guides organized by topic. AI, cloud systems, architecture, and the practices that hold it all together.

6 guides

AI Automation & Productivity

AI Automation and Productivity is about using AI to take real work off your plate. Expect concrete walkthroughs on automating research, writing, customer workflows, and internal ops with tools like Claude, ChatGPT, n8n, and Zapier, with attention to where automation actually pays off and where it quietly breaks.

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13 guides

AI Development & Engineering

AI Development and Engineering covers how to build with Claude Code, coding agents, LangChain, and modern agentic frameworks. The guides here focus on patterns that hold up in production: prompt design, tool use, evaluation, retrieval, and the day to day workflow of shipping AI features rather than toy demos.

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6 guides

Cloud Infrastructure & DevOps

Cloud Infrastructure and DevOps covers AWS, Azure, and GCP alongside the practices that keep them sane: infrastructure as code, CI/CD pipelines, observability, cost control, and incident response. Articles lean toward decisions you actually have to make, not vendor brochure summaries.

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1 guide

Development Practices & Leadership

Development Practices and Leadership covers the parts of engineering that sit around the code: code review, testing strategy, team structure, technical decision making, and the soft skills senior engineers and tech leads rely on. Practical takes from real teams rather than generic advice.

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4 guides

Industry Applications

Industry Applications looks at how AI, cloud, and modern engineering practices land in specific domains such as fintech, healthcare, e-commerce, and SaaS. Each guide grounds the technology in a concrete business problem so you can see what actually changes when these tools meet real constraints.

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7 guides

Software Architecture & Design

Software Architecture and Design covers system design, API design, microservices, event driven patterns, and the trade offs behind each. The goal is to help engineers reason about scale, coupling, and long term maintainability before the codebase forces the answer on them.

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