Code & Development · GitHub ·25 ★

ai-interview-codex

Comprehensive ML/AI interview codex with iterative system design, production-ready code, and 2026 standards. Includes LLM/GenAI, RAG systems, agentic AI, and algorithms from scratch.

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Details

Author
girijesh-ai
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
25
First indexed
2026-05-15
Last active
2026-01-16
Directory sync
2026-05-15
@girijesh-ai

Overview

Comprehensive ML/AI interview codex with iterative system design, production-ready code, and 2026 standards. Includes LLM/GenAI, RAG systems, agentic AI, and algorithms from scratch.

Quick start

git

git clone https://github.com/girijesh-ai/ai-interview-codex

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What ai-interview-codex can do

llmragdesigncode
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Design — design task automation.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is ai-interview-codex?
Comprehensive ML/AI interview codex with iterative system design, production-ready code, and 2026 standards. Includes LLM/GenAI, RAG systems, agentic AI, and algorithms from scratch.
How do I install ai-interview-codex?
Use git: `git clone https://github.com/girijesh-ai/ai-interview-codex`. Full setup details on the source page linked above.
Is ai-interview-codex open source?
ai-interview-codex is published on GitHub.
What are alternatives to ai-interview-codex?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for ai-interview-codex is sourced from GitHub, published by girijesh-ai.

Last scraped: · First indexed:

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