# Aditya Trivedi — Generative AI, Systems & Agent Architectures

> Personal knowledge base, research archives, open-source projects, and engineering notes by Aditya Trivedi. R&D Engineer at Synopsys, creator of Coding Adda (15,000+ developers), author of 'Basics of Prompt Engineering', and builder of autonomous agent systems.

## Core Projects
- [AdiClaw](https://adityatrivedi.in/projects): Sandboxed AI CLI coding assistant and planning engine featuring a deterministic staging pipeline that verifies AST and file mutations before disk writes. Source: https://github.com/Yuvadi29/adiclaw
- [Studio](https://studio.adityatrivedi.in): Native macOS utility for offline audio extraction and local Whisper ML transcription on Apple Silicon with YouTube metadata generation.
- [PromptOS](https://promptos.in): Centralized prompt intelligence platform, evaluation harness, and regression testing gate for production LLM prompts.
- [Build X From Scratch](https://build.addacoding.in): Hands-on architectural tutorials rebuilding databases, agent loops, and microservices from first principles.
- [Second-Brain](https://my-personal-vault.vercel.app): Personal knowledge vault powered by ChromaDB vector search and Google Gemini embeddings for contextual retrieval.

## Research & Papershelf
- [Papershelf Archive](https://adityatrivedi.in/papershelf): Curated readings, annotated notes, and system breakdowns on machine learning, agent loops, and distributed architectures.
- [Advanced Prompt Engineering Guide: Fundamental to MultiModal](https://adityatrivedi.in/papershelf/advanced-prompt-engineering-guide): A systematic survey of prompt engineering techniques

## Engineering Notes & Mental Models
- [All Notes Catalog](https://adityatrivedi.in/notes): Curated software engineering tenets, system design patterns, and generative AI foundations.
- [Introduction To Generative AI](https://adityatrivedi.in/notes/introduction-to-generative-ai): [AI] Generative AI is a type of artificial intelligence that can create new content, such as text, images, and music. It is different from traditional AI, which is used to analyze data and make predictions.
- [Singleton Design Pattern](https://adityatrivedi.in/notes/singleton-design-pattern): [Low Level Design] Deep dive into the Singleton Design Pattern with real-world examples
- [DRY Principle](https://adityatrivedi.in/notes/dry-principle): [Software Engineering, Low Level Design] They are guidelines that help software developers create system that are easy to understand, maintain, and extend. They are applied both at high-level and low-level design stages.
- [KISS Principle](https://adityatrivedi.in/notes/kiss-principle): [Software Engineering, Low Level Design] They are guidelines that help software developers create system that are easy to understand, maintain, and extend. They are applied both at high-level and low-level design stages.
- [YAGNI Principle](https://adityatrivedi.in/notes/yagni-principle): [Software Engineering, Low Level Design] They are guidelines that help software developers create system that are easy to understand, maintain, and extend. They are applied both at high-level and low-level design stages.
- [Builder Design Pattern](https://adityatrivedi.in/notes/builder-design-pattern): [Low Level Design] Deep dive into the Builder Design Pattern with real-world examples
- [State Design Pattern](https://adityatrivedi.in/notes/state-design-pattern): [Low Level Design] Deep dive into the State Design Pattern with real-world examples
- [Strategy Design Pattern](https://adityatrivedi.in/notes/strategy-design-pattern): [Low Level Design] Deep dive into the Strategy Design Pattern with real-world examples

## Handbooks & Publications
- [Basics of Prompt Engineering: A Practical Guide](https://amzn.in/d/7VoAHXc): Amazon-published handbook covering context window dynamics, structured JSON schema enforcement, zero-shot to tree-of-thoughts reasoning, and synthetic regression evaluation.

## Technical Essays & Writings
- [Substack Writings & Essays](https://adityatrivedi.in/blogs): Long-form engineering essays on deterministic staging for AI code synthesis, production hybrid RAG (BM25 + Cohere rerankers), KV cache memory bandwidth bottlenecks, and topological sort in multi-agent execution graphs. Canonical publication: https://adityatrivedi17.substack.com

## Video Teardowns & Community
- [Coding Adda YouTube Channel](https://www.youtube.com/@Coding_Adda): 15,000+ developer community with systems design breakdowns, algorithm visualizations, and practical AI implementations.
- [Videos Archive](https://adityatrivedi.in/videos): Top 15 latest engineering walkthroughs and system teardowns.

## Optional
- [Full Plaintext Context](https://adityatrivedi.in/llms-full.txt): Complete concatenated full text of all engineering notes, design patterns, and research papers for LLM agents.