Description
Building AI Coding Assistant from Scratch. This course explores how to build an AI coding assistant from scratch, including agent loops, tools, and coordination. This course helps learners understand how agent coding assistants work. In this course, developers go beyond the user interface of advanced products like Cursor, Claude Code, and Codex and learn how to implement agent loops, tools, and coordination in real-world code. Participants learn how to design systems in which a central programmer delegates tasks to expert workers, shares knowledge through a persistent repository, and validates the results. These fundamental principles enable the development of patterns for building code-aware assistants. During this course, core mechanisms such as agent loops, operation routing, history management, sub-agent lifecycles, and shared context are taught from the ground up. Learners learn how to implement ReAct reasoning and action patterns, advanced prompt engineering, shared memory, task tracking, and middleware pipelines. At the end of the course, a complete agent programming assistant is built through a comprehensive project where high-level tasks are received, reviewed by the explorer, delegated to the programmer, and the final results are carefully verified to solidify all concepts in practice. In addition, the course allows engineers to understand the internal logic of AI tools and develop their ideas safely, rather than dealing with technology stacks as black boxes. By building the critical parts of an intelligent assistant yourself, you gain a deep understanding of how models make decisions, manage memory during long sessions, and optimize workflows, which is absolutely essential for entering the world of autonomous systems development.
What you will learn
- Understanding underlying technologies: Understanding the internal structure of advanced programs such as Claude Code, Codex, and Cursor.
- Introduction to Agent Frameworks: Exploring AI tools and frameworks including CrewAI, LangChain, and LlamaIndex.
- Developing autonomous systems: Building systems that not only perform tasks, but also understand and adapt to users’ needs in real time.
- Mastering the ReAct paradigm: Learning the intersection of reasoning and action in large language models for more accurate performance.
- Advanced Prompt Engineering: Gain the ability to design effective prompts to guide AI models toward desired behaviors.
- Implementing multi-role flows: Building organized systems with coordinator, explorer, and programmer roles.
- Memory management and shared tasks: Building context and task repositories to store findings and prevent duplication of work.
- Middleware pipeline design: Incorporating ancillary behaviors such as event logging, tracing, error recovery, and session history.
This course is suitable for people who:
- Curious Developers: Programmers who are interested in learning in-depth about developing AI agents.
- Software engineers: People who want to understand how AI programming tools work behind the scenes.
- Artificial Intelligence professionals: Those who plan to design their own autonomous systems and custom-coded assistants.
Building AI Coding Assistant from scratch course details
- Publisher: Udemy
- Author: Alexsandro Souza
- Training level: Beginner to advanced
- Training duration: 3 hours and 10 minutes
- Number of lessons: 20
Course headings
Prerequisites for the Building AI Coding Assistant from Scratch course
- Basic Programming knowledge required
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
3.0 GB