Flagship project: AI-visible web architecture

Issue 01 / Guided entry

A personal site built for humans, LLM retrieval, and AI agents.

chudi.dev is a live public experiment in AI-visible web architecture. It combines technical writing, machine-readable discovery, and agent-facing interfaces so the same body of work can be browsed, retrieved, cited, and queried.

Retrieval-aware information design Machine-readable identity Agent-facing interfaces

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Three explicit reading tracks

Human + AI legibility share one authority graph

WebMCP visible in the live interface layer

What you can enter right now

Choose one

Build with AI

builders, founders, and engineers shipping with AI

Automate Security Research

security researchers and systems-minded builders

Think Better with ADHD

ADHD and neurodivergent developers, designers, and founders

Flagship project: chudi.dev as a public working model Human-readable and agent-legible by design AAO / AEO / GEO stack: llms.txt, ai.txt, WebMCP, and schema Machine-readable identity through topic hubs and entity clarity Live case studies, not recycled summaries

Visibility stack

The flagship claim is architectural, not cosmetic.

chudi.dev is designed so readers, search engines, and AI systems can all navigate the same authority graph through interfaces tuned to how they retrieve information.

AAO

Agent-facing interfaces

WebMCP tools, ai.txt, and callable content surfaces make chudi.dev usable by agents, not just readable by them.

AEO

Answer-ready article design

Definition blocks, FAQ structure, source sections, and reading paths turn posts into extractable answers instead of generic essays.

GEO

Machine-readable discovery

llms.txt, structured data, sitemaps, and entity clarity make the site legible as a coherent knowledge node instead of a generic content archive.

Three editorial journeys

Choose the track that matches how you want to think and build.

Each journey is a topic hub, a recommended reading order, and a newsletter segment. The goal is faster orientation and stronger follow-through.

Build with AI

16 pieces

Build AI products like systems, not demos.

This track covers Claude Code workflows, WebMCP agent interfaces, context management, evidence gates, RAG, and the operational decisions that move an AI idea into production.

Best for

builders, founders, and engineers shipping with AI

Reading depth

15 implementation notes, guides, and case studies

Start here

Claude Code Complete Guide: How I Ship Production-Quality Code

Master Claude Code with quality gates, context management, and evidence-based workflows. The comprehensive guide to building with AI that doesn't break.

Start, branch, continue Explore the track

Automate Security Research

7 pieces

Automate the research loop without automating away judgment.

This track covers multi-agent bounty systems, false-positive control, validation pipelines, and why human-in-the-loop design still beats blind autonomy.

Best for

security researchers and systems-minded builders

Reading depth

7 architecture, validation, and operations notes

Start here

How I Built a Semi-Autonomous Bug Bounty System

How I built a multi-agent bug bounty system with evidence-gated progression, RAG learning, and safety mechanisms that keeps humans in the loop.

Start, branch, continue Explore the track

Think Better with ADHD

7 pieces

Treat ADHD cognition like a systems design input, not a flaw to hide.

This track reframes parallel thinking, novelty seeking, abstraction, and chaos tolerance as engineering leverage, then turns them into practical workflow scaffolding.

Best for

ADHD and neurodivergent developers, designers, and founders

Reading depth

7 core essays and workflow guides

Start here

ADHD Productivity System for Engineers: What Finally Worked for Me

After years of failed GTD attempts and abandoned Notion setups, I built ADHD-friendly Notion templates with energy-aware scheduling and AI processing.

Start, branch, continue Explore the track

Cluster spotlights

Start with one cornerstone piece, then branch into the adjacent system.

View topic overview

Build with AI

AI Product Development

15 implementation notes, guides, and case studies

Featured entry

Claude Code Complete Guide: How I Ship Production-Quality Code

Master Claude Code with quality gates, context management, and evidence-based workflows. The comprehensive guide to building with AI that doesn't break.

Supporting reads

AI Token Usage: How I Cut It by 60% With Progressive Context Loading

Loading less context upfront makes AI more effective. Here's the 3-tier system that cut my Claude costs while improving output quality.

RAG for LLMs: How to Stop Hallucinating Facts

RAG combines LLMs with real-time data retrieval to provide accurate, up-to-date responses. Learn how RAG works and why it matters for AI builders.

Automate Security Research

Bug Bounty Automation

7 architecture, validation, and operations notes

Featured entry

How I Built a Semi-Autonomous Bug Bounty System

How I built a multi-agent bug bounty system with evidence-gated progression, RAG learning, and safety mechanisms that keeps humans in the loop.

Supporting reads

Bug Bounty Failure Handling: How the Automation Learns From Mistakes

How my bug bounty automation learns from rate limits, bans, and crashes to get smarter over time. Part 3 of 5.

Unified Bug Bounty Scanning Across HackerOne, Intigriti, and Bugcrowd

How I built unified integration for HackerOne, Intigriti, and Bugcrowd with platform-specific formatters and a shared findings model. Part 4 of 5.

Think Better with ADHD

Neurodivergent Systems

7 core essays and workflow guides

Featured entry

ADHD Productivity System for Engineers: What Finally Worked for Me

After years of failed GTD attempts and abandoned Notion setups, I built ADHD-friendly Notion templates with energy-aware scheduling and AI processing.

Supporting reads

ADHD Novelty-Seeking: How It Helps in AI Building

ADHD's dopamine-seeking behavior drives continuous learning and early adoption. This 'shiny object syndrome' is actually technology scouting for the AI era.

How ADHD Chaos Prepared Me for Production System Failures

Living with ADHD means constant failure recovery. This builds resilience and failure-handling intuition perfect for distributed systems design.

Reading paths

Three explicit starting points, so no one lands on the site and wonders where to begin.

Build with AI

Claude Code Complete Guide: How I Ship Production-Quality Code

Master Claude Code with quality gates, context management, and evidence-based workflows. The comprehensive guide to building with AI that doesn't break.

Start here

Automate Security Research

How I Built a Semi-Autonomous Bug Bounty System

How I built a multi-agent bug bounty system with evidence-gated progression, RAG learning, and safety mechanisms that keeps humans in the loop.

Start here

Think Better with ADHD

ADHD Productivity System for Engineers: What Finally Worked for Me

After years of failed GTD attempts and abandoned Notion setups, I built ADHD-friendly Notion templates with energy-aware scheduling and AI processing.

Start here

Product bridge