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GLM 4.6 for Developers: Build AI Coding Agents, Autonomous Programmers, and Dev Tools
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Publisher: Independently Published
Published: Oct 25 2025
Pages: 170
Weight: 0.67
Height: 0.36 Width: 7.00 Depth: 10.00
Language: English
What if you could build software without writing every line of code yourself? What if an AI system could generate functions, fix bugs, refactor code, write documentation, generate tests, and even build entire applications? This book shows you how to achieve that using GLM 4.6.
GLM 4.6 for Developers: Build AI Coding Agents, Autonomous Programmers, and Dev Tools is a practical, step-by-step guide that teaches you how to use GLM 4.6 to build real coding assistants and development tools. You will learn how to create AI agents that write, debug, test, document, and improve code autonomously - all without needing machine learning expertise.
What This Book Covers
Part I - Foundations and Setup
- How GLM 4.6 works, including tokens, prompts, and context windows
- Cloud/API setup, installation of SDKs, and your first code-generation script
- Running GLM locally in offline mode (if supported)
Part II - AI Coding Assistants
- Generating functions from natural language prompts
- Building an automatic bug-fixing agent
- AI-driven code reviews and refactoring
- Auto-generating docstrings, documentation, and explanations
Part III - Autonomous Programming Systems
- Building a self-correcting agent: generate code, run it, detect errors, fix, and retry
- Creating a command-line tool (glm-coder) to generate code files automatically
- Generating complete multi-file project structures (FastAPI, backend apps)
Part IV - Real-World AI Projects
- Python bug-fixing agent for local files
- Natural Language to FastAPI application generator
- AI for CSV processing, web scraping, and API data handling
- AI coding tutor and interview problem solver
- Autonomous full-stack application builder
Part V - Professional Use, Deployment, and Ethics
- Improving code style with AI: PEP8, ESLint, and Prettier
- Running agents locally or deploying them to cloud platforms such as Render, Railway, or AWS
- Detecting and fixing hallucinations, API errors, and failed outputs
- Legal considerations: licenses, commercial use, and AI-generated code ownership
- Security best practices for API keys, user data, and private repositories
- The future of GLM 5, AI pair programming, and self-maintaining codebases
Who This Book Is For
- Developers who want to build AI-powered coding assistants and automation tools
- Python, JavaScript, and TypeScript programmers looking to speed up development
- Freelancers or startups who want to deliver faster with AI support
- Students and engineers curious about autonomous software development
- Anyone who wants AI to help write, debug, test, and document real-world applications
You Do Not Need
- No prior experience in machine learning
- No knowledge of neural networks or data science
- No GPU or complex setup required when using API mode
Why This Book Matters
This is not a theoretical book. Every chapter is practical and project-based. You will build working agents, test them, refine them, and prepare them for real development environments. By the end of this book, GLM 4.6 will no longer be a chatbot-it will be your coding partner.
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