Start here
This is the shortest path into the site’s thinking.
chudi.dev is a living knowledge system about AI product development, bug bounty automation, and neurodivergent systems design. Use this page if you want the map before the archive.
Core journeys
Enter through the journey that matches your intent.
These are the three primary tracks that define the site. Each one has a hub, a start-here article, and a reading path.
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.
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.
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.
Best entry points by intent
If you are here for a specific outcome, start with these.
Build AI systems that survive contact with production
Start with Claude Code workflows, then move into WebMCP, context control, and verification loops.
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.
How to Add WebMCP to SvelteKit in 90 Minutes
Step-by-step WebMCP SvelteKit implementation guide with navigator.modelContext, polyfill setup, tool schemas, and live verification.
AI Code Verification: How I Replaced Confidence With Evidence
How to verify AI-generated code with evidence-based completion, forced evaluation, and build-test-proof instead of confidence.
Automate security research without automating away judgment
Use the bug bounty system sequence if you care about evidence, false-positive control, and human-in-the-loop design.
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.
Bug Bounty Automation Architecture: How to Build a Multi-Agent Workflow
How to design bug bounty automation with specialized agents, evidence-gated validation, human review thresholds, and lower false positives.
Why Full Automation Fails in Security Research
Why mandatory human review protects researcher reputation better than any algorithm. Building AI that knows when to stop. Part 5 of 5.
Use ADHD cognition as a systems advantage
The neurodivergent track reframes pattern recognition, abstraction, and chaos resilience as engineering leverage.
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.
ADHD Pattern Recognition: How It Helps With AI Architecture
How ADHD pattern recognition supports AI architecture, systems design, hyperfocus, and multi-model reasoning.
ADHD Parallel Thinking: Why It Feels Like Distributed Systems
Why ADHD parallel thinking maps to distributed systems, async architecture, state management, and event-driven design.
Why this exists
The site is designed like a map, not a feed.
The goal is to reduce orientation debt. Instead of landing on one article and bouncing, you should be able to see how the ideas connect: topic hubs, reading paths, products, and the publishing layer that makes the whole system legible to search engines and AI agents.
Visibility stack
The publishing layer is part of the product.
Search, answer engines, and agents need a canonical map too. These pieces explain the retrieval layer behind the site.
6 AEO Factors That Decide Whether AI Search Engines Cite You
AEO is the SEO of AI search engines. Learn to optimize for Perplexity, Claude, ChatGPT, and other answer engines without traditional SEO.
How to Get Cited by Perplexity, ChatGPT, and AI Search
Step-by-step guide to make your content visible in AI search engines. Includes robots.txt, structured data, and content format optimization.
llms.txt for AI Crawlers: Why robots.txt Is Not Enough
What is llms.txt and why do AI engines scan it? Learn how to set up this robots.txt companion file to control how AI crawlers use and cite your content.
Subscribe once. Get the guided version of the site.
The newsletter is the shortest path to the newest systems notes, strongest essays, and the next recommended reading path.
- AI systems and Claude Code implementation notes
- Bug bounty automation architecture and failure loops
- Neurodivergent workflow systems that actually hold up