Master Claude Chat, Cowork, Code

00:43:15

11. The AI in the Pipeline (CI/CD Integration and...

Master Claude Chat, Cowork, Code ·

2026/04/12

Episode 11: Claude Code in CI/CD — Turning AI Into a Controlled Automation LayerIn Episode 11 of Beyond Prompting, we take Claude Code beyond the local terminal and into one of the most powerful places in modern software engineering: your automated delivery pipeline.This is where AI stops being just a coding assistant and starts becoming part of your development system.In this episode, you will learn how to integrate Claude Code into GitHub Actions and GitLab CI/CD, so it can do real work

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00:33:53

10. Safe Legacy Refactoring (How to Rewrite 50k Lines...

Master Claude Chat, Cowork, Code ·

2026/03/31

This is one of the most dangerous moves you can make as an engineer:Letting AI rewrite your legacy system.In this episode, we confront that risk head-on.Because if you’ve ever tried something like“Claude, clean up this code”you already know what happens next…You get beautifully structured, modern code—that completely breaks your production environment.So how do you actually do this safely?We walk through a battle-tested framework used in real engineering environments.And it starts with a surprising

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00:29:36

9. The Terminal Agent (Claude Code Fundamentals)

Master Claude Chat, Cowork, Code ·

2026/03/30

In this episode, we enter a new phase of the journey: Claude Code.This is where things change.We leave behind the familiar world of browsers and chat windows—and step directly into the terminal. No more copying and pasting. No more fragmented workflows. Claude Code lives inside your CLI and works alongside you like a true engineering partner.It reads your codebase.It runs commands.It makes real changes across your project.This is not just chatting with AI. This is agentic development.You’ll learn

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00:45:05

8. The AI That Works While You Sleep (Scheduled Tasks...

Master Claude Chat, Cowork, Code ·

2026/03/07

In Episode 8, we unlock the next level of AI productivity: autonomous, recurring workflows. Instead of triggering Claude manually for each task, we explore how Claude Cowork can operate as a background agent that runs on its own schedule.You will learn how to configure automated workflows using cron expressions. For example, you can build a daily briefing that gathers overnight system alerts, support tickets, and calendar updates—delivering a synthesized report before you even start your day.We also

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00:34:05

7. The Domain Expert (Supercharging Cowork with Plugins)

Master Claude Chat, Cowork, Code ·

2026/03/07

In Episode 7, we explore how to transform Claude from a general-purpose AI into a specialized expert tailored to your specific job function. Instead of relying on generic responses, Claude can be extended with structured capabilities that allow it to operate within the exact workflows your team uses every day.This episode dives into the architecture of Claude Cowork Plugins—modular packages that bundle skills, data connectors, and specialized sub-agents into a single deployable unit. These plugins

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00:38:08

6. Breaking Out of the Browser (Introduction to...

Master Claude Chat, Cowork, Code ·

2026/03/07

In Episode 6, we step beyond the browser and introduce Claude Cowork, Anthropic’s desktop automation agent. Unlike traditional chat interfaces where you manually upload files one at a time, Cowork operates directly on your computer with controlled access to your local files.But how can an AI safely interact with your system without putting your machine at risk? In this episode, we look under the hood at Cowork’s secure Linux Virtual Machine (VM) sandbox. This isolated environment creates a temporary

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00:41:54

5. From Conversation to Application (Rapid...

Master Claude Chat, Cowork, Code ·

2026/03/03

In Episode 3, we move beyond simple chat interactions and dive into the technical foundation of prompt engineering. Why does Claude sometimes hallucinate or produce unpredictable results? The answer lies in entropy—how ambiguity expands the model’s probability space and leads to uncertain outputs.In this episode, we break down the anatomy of a high-quality, professional-grade prompt. You will learn why structuring instructions clearly—and even wrapping them in XML tags—can dramatically reduce

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00:26:05

4. Curing "AI Amnesia" (Mastering Claude Projects and...

Master Claude Chat, Cowork, Code ·

2026/03/03

In Episode 4, we tackle one of the most frustrating bottlenecks in working with AI: "AI Amnesia." If you find yourself spending twenty minutes re-explaining your codebase architecture, coding conventions, or deployment rules every time you open a new chat, it is a sign that your workflow needs to evolve.In this episode, we explore how Claude Projects solve this problem by allowing you to build persistent, shared knowledge bases that remember your organizational context. Instead of starting from

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00:41:32

3. Taming AI Entropy (The Engineering of a Perfect...

Master Claude Chat, Cowork, Code ·

2026/03/03

In Episode 3, we move beyond simple chat interactions and dive into the technical foundation of prompt engineering. Why does Claude sometimes hallucinate or produce unpredictable results? The answer lies in entropy—how ambiguity expands the model’s probability space and leads to uncertain outputs.In this episode, we break down the anatomy of a high-quality, professional-grade prompt. You will learn why structuring instructions clearly—and even wrapping them in XML tags—can dramatically reduce

en-us

00:27:22

2. The Three Pillars of Claude (Chat, Cowork, and Code)

Master Claude Chat, Cowork, Code ·

2026/03/03

In the second episode of Beyond Prompting, we break down the fundamental architecture of the Claude ecosystem. Claude is no longer just a single chatbot — it is a family of distinct interfaces designed for entirely different modes of work.We explore the specific capabilities and use cases for each of the "Three Pillars":Claude Chat: The web-based interface designed for intellectual work, reasoning, and knowledge synthesis. We discuss how persistent Projects and interactive Artifacts allow you to

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00:47:57

1: The Evolution of LLMs (Why Scale Isn't Enough)

Master Claude Chat, Cowork, Code ·

2026/03/03

In this kickoff episode, we go beyond the hype and look under the hood of Large Language Models to understand what they are actually doing when they generate text. We start by tracing the evolution of modern AI, from early probabilistic models like Markov chains to the Transformer architecture that unlocked today’s powerful systems. But we do not stop at the history. We also explore a major shift happening right now in the AI industry: why simply making models bigger is no longer enough. With

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