Effective Software Engineering with Claude Code - From Prompts to Systems

Become an AI-Native Engineer Who Can Design Reliable Workflows for Real Software Systems

Long Description

Many engineers using AI coding tools are still working session to session, prompt to prompt, hoping the model “gets it” again tomorrow.

That does not scale.

The engineers getting disproportionate results from tools like Claude Code are not writing magical prompts. They are building systems around context, workflow memory, reusable skills, and automated guardrails.

This workshop shows how.

You will learn how to turn Claude Code from a clever assistant into a production engineering layer that compounds across sessions, projects, and teams.

No toy demos. No “10 prompts you should memorize.” No vibe-coding theatre.

What You Will Learn

After this workshop, you’ll be able to:

You will learn how to move beyond ad-hoc prompting and structure Claude Code as a system that behaves consistently across sessions and environments:

• How to organise context so Claude starts with the right information without repeated setup
• How to separate persistent instructions from situational rules to avoid context overload
• How to turn repeated tasks into reusable components instead of rewriting prompts
• How to enforce safeguards automatically so important constraints are consistently applied
• How to evaluate your current setup and identify the highest-leverage improvements

Through a live build on a real codebase, you will see how these elements work together in practice, including trade-offs and common failure points that affect reliability.

By the end of the session, you will understand how to structure Claude Code so it produces consistent results and how to extend that structure into a shared, team-level workflow.

What Will I Be Able to Do After This Workshop?

After the workshop, participants will be able to:

• Design a CLAUDE.md ecosystem across project, folder, and user levels
• Use .claude/rules/ for scoped instructions without bloating your main agent file
• Build custom skills for recurring workflows using the Context Pull technique
• Configure hooks that enforce guardrails without using up context
• Use the context ladder to assess your current setup and decide what to build next
• Apply these primitives as a production-ready practice your team can adopt

Who Should Attend?

Senior engineers, tech leads, and architects already using Claude Code in real workflows and looking to make it consistent and reliable beyond a single session.

This is designed for practitioners who:

• Work in real codebases with team conventions and production constraints, not toy examples
• Need repeatable results they can rely on, not session-to-session variability
• Are moving from individual usage toward a structured approach their team can adopt

Also relevant for:

• Engineering managers evaluating how to establish a defensible, shared context practice across their team

Not suited for:

• Beginners to coding or AI tools
• Users exploring Claude Code for the first time

What to Expect

A live, end-to-end walkthrough of how to structure Claude Code as a system you can rely on in real workflows.

You will see a complete setup built on a real codebase, with each component introduced in context and every design decision explained. The focus is on how the system behaves in practice, not just how individual features work.

Expect:

• Guided walkthroughs of agent files, skills, and hooks working together as a system
• Clear explanations of what to implement, what to avoid, and why certain approaches fail
• Real examples grounded in production-style workflows, not simplified demos
• Interactive elements through chat, polls, and Q&A to connect concepts to your own setup

There are no isolated hands-on exercises during the session. Instead, you will leave with a complete reference system, templates, and patterns you can apply directly to your own codebase after the workshop.

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