MCP and Legacy Code Steering
This module teaches mid-level engineers to steer complex systems with AI safely. Instead of pasting huge context into chat, we introduce MCP as a structured way to expose tools and resources, then apply it to a real problem: refactoring legacy code behind tests while keeping security boundaries and auditability.
Taught by Admin
What you'll learn
- When to use MCP tools/resources vs attaching files in the IDE.
- How to design a minimal MCP workflow that answers a
Course content
1 sections · 2 lessons · 1h 0m
1.Module materials
2 lessons- Lesson plan30mPreview
- Exercises30m
Instructor
Admin
Industry practitioners teaching AI-augmented software engineering.
Reviews
No reviews yet.
More in this category
Foundations: Modern SDLC + the AI-Augmented Engineer
Foundations: Modern SDLC + the AI-Augmented Engineer
A grounding module. We define the modern SDLC (Plan → Design → Develop → Test → Release → Operate → Learn), show where AI augmentation slots in, and reset expectations about what an engineer's day looks like when an AI assistant is part of the workflow. By the end, every learner has a one-page diagram of an SDLC for a real product and a written list of where AI would or would not help.
Admin
AI-Assisted Development & Vibe Coding
AI-Assisted Development & Vibe Coding
The signature module of the program. Learners spend most of the session **doing**, not listening. We tour the major AI coding tools (Cursor, GitHub Copilot, Claude Code, Aider), introduce four prompt patterns, then run a debug lab where each learner fixes a broken FastAPI endpoint using AI as a pair-programmer and documents every prompt. The point is to make AI a habit, not a curiosity.
Admin
Prompt Engineering for Developers
Prompt Engineering for Developers
Module 02 introduced four patterns. This module goes one layer deeper: few-shot, chaining, output evaluation, and the discipline of a prompt library. The lab is hands-on: each learner builds a small reusable library for one task they actually do.
Admin
Software Design: SOLID, clean architecture, DDD basics
Software Design: SOLID, clean architecture, DDD basics
Most early-career engineers can recite SOLID but can't spot violations in their own code. This module teaches recognition — then practice — in two languages. We finish with a refactor lab where AI is the pair and the rule is "tests stay green".
Admin