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Автор: CourseMade

Mastering Claude Opus 5 & GPT-5.6 for Software Development

44 урока9 ч

A practical, balanced course for software engineers who use both Claude and GPT models daily. Learn to write precise prompts, configure system instructions, reason step-by-step, structure outputs for reuse, handle large codebases, and choose the right model for each task while verifying results and avoiding hallucinations.

Чему вы научитесь

Уроки откроются, когда курс появится в вашей библиотеке.

Модуль 1

Foundations: Understanding Your Two Models

5 уроков
  1. 01What Claude Opus 5 and GPT-5.6 Actually Are13 мин
  2. 02How LLMs 'Think': Tokens, Context, and Attention13 мин
  3. 03Setting Up Your Coding Environment13 мин
  4. 04The Mental Model: You Are the Architect, They Are the Pair Programmer12 мин
  5. 05Common Beginner Mistakes That Waste Your Time12 мин

Модуль 2

Prompt Engineering: Writing Instructions That Work

6 уроков
  1. 01The Anatomy of a Great Coding Prompt13 мин
  2. 02Being Specific: Naming Functions, Files, and Behaviors13 мин
  3. 03Giving the Model Context It Can't Guess13 мин
  4. 04Few-Shot Prompting: Teaching by Example13 мин
  5. 05Chain-of-Thought Prompting for Complex Tasks13 мин
  6. 06Iterative Refinement: Prompting as a Conversation13 мин

Модуль 3

System Prompts and Custom Instructions

5 уроков
  1. 01What System Prompts Do That Chat Prompts Can't12 мин
  2. 02Writing a Personal Coding System Prompt12 мин
  3. 03Custom Instructions in Claude and GPT: A Comparison12 мин
  4. 04Encoding Project Conventions and Style Guides13 мин
  5. 05Versioning and Testing Your System Prompts13 мин

Модуль 4

Getting Models to Reason and Avoid Mistakes

6 уроков
  1. 01Why Models Hallucinate and How to Reduce It13 мин
  2. 02Step-by-Step Reasoning for Algorithms and Debugging13 мин
  3. 03Asking for Plans Before Code13 мин
  4. 04Constraint-First Prompting to Prevent Overreach13 мин
  5. 05Self-Critique and Red-Teaming Your Own Prompts14 мин
  6. 06Handling Ambiguity: When to Ask Clarifying Questions13 мин

Модуль 5

Structuring Outputs for Reuse

5 уроков
  1. 01Enforcing JSON Output for Machine-Readable Results13 мин
  2. 02Generating Tables, Diffs, and Markdown Reports12 мин
  3. 03Using Schemas and Type Definitions in Prompts12 мин
  4. 04Prompting for Test Cases and Edge Cases13 мин
  5. 05Building Reusable Prompt Templates for Your Team13 мин

Модуль 6

Handling Long Documents and Large Context Windows

5 уроков
  1. 01Understanding Context Limits and Where They Bite12 мин
  2. 02Chunking Large Codebases for Focused Queries12 мин
  3. 03Summarization and Progressive Disclosure12 мин
  4. 04Working with Long Logs and Stack Traces12 мин
  5. 05Managing Multi-File Refactors Within Context Limits13 мин

Модуль 7

Advanced Features: Tool Use and File Handling

6 уроков
  1. 01Tool Use and Function Calling in Both Models13 мин
  2. 02Reading and Writing Files Through the Model13 мин
  3. 03Running Code and Interpreting Results12 мин
  4. 04Integrating with Git, Build Tools, and CI13 мин
  5. 05Building an AI-Assisted Code Review Workflow13 мин
  6. 06Automating Repetitive Tasks with Prompt Pipelines14 мин

Модуль 8

Choosing the Right Model and Verifying Results

6 уроков
  1. 01Claude vs GPT: A Decision Framework for Coding Tasks12 мин
  2. 02Verifying Code: Compile, Test, and Review13 мин
  3. 03Cross-Checking Answers Between the Two Models13 мин
  4. 04Detecting and Correcting Hallucinated APIs and Libraries14 мин
  5. 05Security and Privacy When Using AI for Code13 мин
  6. 06Building a Personal Workflow That Combines Both Models13 мин